Reporting to the Vice President of Finance, Administration and Treasurer (“Treasurer”), the Director of Data Analytics will provide leadership, development, implementation and evaluation of the College’s enrollment management modeling, tuitions and fees pricing, and data warehouse integration, needs and communications. This position will exercise considerable discretion and judgement and project management for related activities and requires expertise in data analysis, statistical methods and financial modeling.
This is a full-time position for a period of up to two years. The ideal candidate is sharp, innovative, driven, has great attention to detail and an excellent ability to communicate productively and congenially with a variety of constituents. This position requires the ability to manage a demanding workload with multiple projects and deadlines and negotiate expectations against priorities and resources.
You can learn more about our team in the Office of the Treasurer by visiting us online.
Note : This is a summary of the essential functions and requirements for the position; a detailed description is available at the hyperlink listed below.
ESSENTIAL FUNCTIONS:
Lead the development of enrollment model(s) integrated to the College’s revenue budget.
Conduct enrollment modeling for growth or changing financial aid strategies.
Provide high-level expertise in data analysis. Conduct pricing analyses for tuition, housing and other College fees.
Build, lead, and facilitate the integration of the data warehouse across the institution.
Collect, prepare and maintain institutional data in a variety of formats for senior leadership, the Board of Trustees, the Faculty Executive Committee and other committees as requested.
Promote and develop opportunities to improve business intelligence across the institution.
Manage related projects for data analyses, enhancements or updates, new system integrations and implementations, and related activities.
Prepare and lead communications regarding complex data to various constituents.
Assist with the development of department and institutional dashboards and designing reports.
Research, evaluate and recommend protocols and technologies to enhance data collection, quality and usage across the institution. Establish and document best practices for data technologies, tools and processes.
Work Hours: This is a full-time, interim position working up to two years. The regular hours for this position are 8:00 am to 5:00 pm, Monday through Friday. These hours may vary due to needs of the College or department. May require occasional evening or weekend work.
REQUIREMENTS:
Expert knowledge of data analysis, statistical methods and financial modeling, preferably in a higher education setting.
Demonstrated knowledge in the areas of trend and market analysis, and statistical analysis.
Strong computer skills.
Ability to synthesize and translate highly technical data into meaningful, clear and concise information for a variety of audiences.
Demonstrated project management skills.
Superior communications skills in English.
Exceptional organizational skills.
Ability to work collaboratively in an academic environment with a diverse community of senior leadership, staff, faculty, students and other stakeholders.
Strong interpersonal skills and adaptability. Diplomatic and persuasive in dealing with competing priorities and limited resources. Adapt to changes and manage unexpected delays or events with aplomb.
Demonstrated skills in conducting research, preferably in a higher education setting with respect to admission, enrollment and tuition and fees. Ability and commitment to stay current in financial trends in higher education.
Ability to operate with considerable degree of independence, initiative, and judgment. Strong problem-solving skills, accountability and attention to detail.
Education: Must have a master’s degree in business or applied analytics, data science, statistical analysis or a related field; or an equivalent combination of education and relevant experience to provide the required knowledge, skills and abilities.
Experience: Must have at least five years related experience (preferably in higher education), including some project management experience. Demonstrated experience preparing financial models.
COMPENSATION:
Pay Rate: The monthly rate is commensurate with qualifications plus excellent benefits subject to the term and conditions in the policy or plan documents.
Benefits: This position is eligible for the College’s full program of employee benefits subject to the terms and conditions in the plan documents/policies for an interim position, including: medical, dental, vision, group life insurance of at least $20,000, 12% employer retirement contributions after one year, gym/fitness resources (including a personal trainer), free parking, and more. Note: Restrictions or service requirements apply . Visit our website for additional details.
TO APPLY:
Priority Deadline: Review of applications will commence immediately.
Please click the "Apply Now" button on this page to submit the following documents:
Cover Letter
Resume
Additionally, please visit the following link to be directed to an online Box folder to view the full job description, download the Staff Employment Application Form (required) and Applicant Information Form (optional).
https://pitzer.box.com/s/ieidn2xgepxhvmr2iddw7vye94fyzgbk
Note: Applicants selected for interview will be asked to provide three (3) professional references.
Aug 16, 2019
Full-time
Reporting to the Vice President of Finance, Administration and Treasurer (“Treasurer”), the Director of Data Analytics will provide leadership, development, implementation and evaluation of the College’s enrollment management modeling, tuitions and fees pricing, and data warehouse integration, needs and communications. This position will exercise considerable discretion and judgement and project management for related activities and requires expertise in data analysis, statistical methods and financial modeling.
This is a full-time position for a period of up to two years. The ideal candidate is sharp, innovative, driven, has great attention to detail and an excellent ability to communicate productively and congenially with a variety of constituents. This position requires the ability to manage a demanding workload with multiple projects and deadlines and negotiate expectations against priorities and resources.
You can learn more about our team in the Office of the Treasurer by visiting us online.
Note : This is a summary of the essential functions and requirements for the position; a detailed description is available at the hyperlink listed below.
ESSENTIAL FUNCTIONS:
Lead the development of enrollment model(s) integrated to the College’s revenue budget.
Conduct enrollment modeling for growth or changing financial aid strategies.
Provide high-level expertise in data analysis. Conduct pricing analyses for tuition, housing and other College fees.
Build, lead, and facilitate the integration of the data warehouse across the institution.
Collect, prepare and maintain institutional data in a variety of formats for senior leadership, the Board of Trustees, the Faculty Executive Committee and other committees as requested.
Promote and develop opportunities to improve business intelligence across the institution.
Manage related projects for data analyses, enhancements or updates, new system integrations and implementations, and related activities.
Prepare and lead communications regarding complex data to various constituents.
Assist with the development of department and institutional dashboards and designing reports.
Research, evaluate and recommend protocols and technologies to enhance data collection, quality and usage across the institution. Establish and document best practices for data technologies, tools and processes.
Work Hours: This is a full-time, interim position working up to two years. The regular hours for this position are 8:00 am to 5:00 pm, Monday through Friday. These hours may vary due to needs of the College or department. May require occasional evening or weekend work.
REQUIREMENTS:
Expert knowledge of data analysis, statistical methods and financial modeling, preferably in a higher education setting.
Demonstrated knowledge in the areas of trend and market analysis, and statistical analysis.
Strong computer skills.
Ability to synthesize and translate highly technical data into meaningful, clear and concise information for a variety of audiences.
Demonstrated project management skills.
Superior communications skills in English.
Exceptional organizational skills.
Ability to work collaboratively in an academic environment with a diverse community of senior leadership, staff, faculty, students and other stakeholders.
Strong interpersonal skills and adaptability. Diplomatic and persuasive in dealing with competing priorities and limited resources. Adapt to changes and manage unexpected delays or events with aplomb.
Demonstrated skills in conducting research, preferably in a higher education setting with respect to admission, enrollment and tuition and fees. Ability and commitment to stay current in financial trends in higher education.
Ability to operate with considerable degree of independence, initiative, and judgment. Strong problem-solving skills, accountability and attention to detail.
Education: Must have a master’s degree in business or applied analytics, data science, statistical analysis or a related field; or an equivalent combination of education and relevant experience to provide the required knowledge, skills and abilities.
Experience: Must have at least five years related experience (preferably in higher education), including some project management experience. Demonstrated experience preparing financial models.
COMPENSATION:
Pay Rate: The monthly rate is commensurate with qualifications plus excellent benefits subject to the term and conditions in the policy or plan documents.
Benefits: This position is eligible for the College’s full program of employee benefits subject to the terms and conditions in the plan documents/policies for an interim position, including: medical, dental, vision, group life insurance of at least $20,000, 12% employer retirement contributions after one year, gym/fitness resources (including a personal trainer), free parking, and more. Note: Restrictions or service requirements apply . Visit our website for additional details.
TO APPLY:
Priority Deadline: Review of applications will commence immediately.
Please click the "Apply Now" button on this page to submit the following documents:
Cover Letter
Resume
Additionally, please visit the following link to be directed to an online Box folder to view the full job description, download the Staff Employment Application Form (required) and Applicant Information Form (optional).
https://pitzer.box.com/s/ieidn2xgepxhvmr2iddw7vye94fyzgbk
Note: Applicants selected for interview will be asked to provide three (3) professional references.
Works with designated departments to understand business needs. Analyzes information, develops data solutions, and supports development of processes and applications to optimize user experience and impact.
Major Responsibilities:
Partners with staff to identify opportunities to leverage technology for process improvements and innovation; analyzes business needs to evaluate and recommend systems and applications and their usage.
Implements technology solutions; including training and development of appropriate procedures & standards of use, ensuring the resulting work products / applications support the business needs.
Collaborates across the organization in providing data analytics to generate insights, using internal and external information sources to enhance data-informed decision making throughout the Foundation.
Develops and manages information resources; including data augmentations and aggregation of information.
Employs project management skills, including establishing project charters and definitions, facilitating collaborations sessions, exercising communication and work plans.
Stays up-to-date on the latest process and information technology advancements to improve Foundation systems and use of data.
Updates, implements, and maintains technology related procedures.
Regularly and routinely ensures solutions meet business needs and requirements, optimizing user experience.
Other duties as assigned.
Required Skills & Abilities:
Customer-focus orientation with strong communication and organization skills.
Strong analytical and problem solving abilities.
Experience with solution development and technology assessments.
Experience with database management; proficiency with Blackbaud’s Raiser’s Edge or Salesforce a plus.
Experience in report writing and data extraction. Proficiency with Crystal Reports a plus.
Knowledgeable about data modeling and analytics; experience with Microsoft Power BI a plus.
Well-versed with Microsoft Office Suite (Excel, Word, PowerPoint).
Knowledge of project management.
Experience with process improvement projects, a plus.
Preferred Education & Experience:
3 to 5 years relevant experience in technology, consulting, or data analytics.
Bachelor’s degree.
Make-A-Wish Illinois offers full-time employees comprehensive medical and dental benefits along with excellent paid time off, a 403(b) retirement plan, life and disability insurance, and outstanding professional development opportunities.
Aug 15, 2019
Full-time
Works with designated departments to understand business needs. Analyzes information, develops data solutions, and supports development of processes and applications to optimize user experience and impact.
Major Responsibilities:
Partners with staff to identify opportunities to leverage technology for process improvements and innovation; analyzes business needs to evaluate and recommend systems and applications and their usage.
Implements technology solutions; including training and development of appropriate procedures & standards of use, ensuring the resulting work products / applications support the business needs.
Collaborates across the organization in providing data analytics to generate insights, using internal and external information sources to enhance data-informed decision making throughout the Foundation.
Develops and manages information resources; including data augmentations and aggregation of information.
Employs project management skills, including establishing project charters and definitions, facilitating collaborations sessions, exercising communication and work plans.
Stays up-to-date on the latest process and information technology advancements to improve Foundation systems and use of data.
Updates, implements, and maintains technology related procedures.
Regularly and routinely ensures solutions meet business needs and requirements, optimizing user experience.
Other duties as assigned.
Required Skills & Abilities:
Customer-focus orientation with strong communication and organization skills.
Strong analytical and problem solving abilities.
Experience with solution development and technology assessments.
Experience with database management; proficiency with Blackbaud’s Raiser’s Edge or Salesforce a plus.
Experience in report writing and data extraction. Proficiency with Crystal Reports a plus.
Knowledgeable about data modeling and analytics; experience with Microsoft Power BI a plus.
Well-versed with Microsoft Office Suite (Excel, Word, PowerPoint).
Knowledge of project management.
Experience with process improvement projects, a plus.
Preferred Education & Experience:
3 to 5 years relevant experience in technology, consulting, or data analytics.
Bachelor’s degree.
Make-A-Wish Illinois offers full-time employees comprehensive medical and dental benefits along with excellent paid time off, a 403(b) retirement plan, life and disability insurance, and outstanding professional development opportunities.
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. The Enterprise Technology organization drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. This role is part of the Enterprise Business Systems (EBS) organization. Our mission is to provide business technology solutions for the enterprise that empower growth, and enhance value across brands, geographies and organizations. The Data Solutions & Architecture group is part of the Enterprise Technology organization. We are responsible for architecting, developing and managing the data platforms, data integrations and reporting and analytics solutions for The Walt Disney Company’s enterprise business data. We are experts at architecting and building highly scalable data and analytics solutions that meet the business requirements of the groups across the company we support. As part of our team, you will be working with a full range of data technologies and architectures including big data platforms, enterprise data warehouses, pub/sub data messaging, master data management, AI/ML predictive analytics, Robotics Process Automation, and multiple reporting and analytics frameworks and tools. You will be working in a complex, challenging, fast-paced and rewarding environment, with other like-minded peers who are solutions and results oriented, and who enjoy collaboration. Besides being experts in their respective fields, our architects and developers are smart, curious, innovative, solutions-oriented, respectful, highly collaborative and continuous learners. The Principal Data Architect is one of the key architect roles in the organization. This is a strong technology leadership role, responsible for the data architecture of major data and analytics platforms for enterprise business data across TWDC.
Responsibilities :
Responsible for the overall data design and modeling across all of the organization’s data systems, especially the design of data in the major data platforms (data warehouses, data lakes, master data management systems), with focus on data analytics and data reporting and visualization
Responsible for data management across multiple data systems: data governance, data mastering, meta-data management, data definitions, symantec-layer design, data taxonomies and ontologies
Architecting and delivering highly-scalable and flexible, cost-effective enterprise data solutions
Responsible for helping set the technology strategy and roadmaps for the portfolio of data platforms and services across the organization
Responsible for data security and compliance
Designing and documenting data architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
Providing active “hands-on” architectural guidance and leadership through the entire lifecycle of development projects
Translating business requirements into conceptual and detailed technology solutions
Collaborates closely with partners across the organization including other architects, engineering and product managers, and business partners
Performing third-party vendor assessments
Developing and leading proof-of-concepts projects
Keeping fluent in the industry and marketplace evolution--staying current with vendor product offerings and common and emerging data solutions in use across the industry; continuously learning new data technologies and introducing these into the organization
Cross-training peers and mentoring teammates
Basic Qualifications :
Skills & Key Attributes
Current with new technologies and vendor solutions available in the marketplace
Expertise in data architecture and design, for both structured and unstructured data
Expertise in data modeling
Expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies
Expertise in architecting and delivering highly-scalable and flexible, cost effective, cloud-based enterprise data solutions
Fluent understanding of data security and compliance requirements
Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
Understanding of Solutions Architecture methodology and practices
Ability to translate business requirements into conceptual and detailed technology solutions
Ability to perform third-party vendor assessments
Ability to develop and lead proof-of-concepts
Focused on delivering practical, working solutions (no ivory tower solutions)
Fluency in cloud based data storage and analytics offerings
Strong collaboration skills and ability to establish and manage effective working relationships in a matrixed organizational structure
Strong leadership skills
Ability to “influence without authority”
Strong consensus-building ability and negotiating skills
Strong communication and executive presentation skills, both oral and written. Ability to communicate well to both technical and business audiences
Thinks strategically
Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past. Thinks big and broad, without being constrained by existing norms or business models.
Results oriented, biased toward action
Keeps fluent in new technologies and successful sharing with peers and introducing new technologies
Chooses optimism and calls out cynicism and unproductive behavior
Demonstrates stamina, resilience and perseverance under trying circumstances
Experience
10 years plus experience architecting enterprise data solutions
10 years hands-on data design in large-scale and complex data solutions development projects
In-depth experience in data architecture and design for large, complex enterprise data environments, for both structured and unstructured data
Experience architecting and delivering highly-scalable and flexible, cost-effective enterprise data solutions
Experience with data analytics, BI, data reporting and data visualization
Experience with data modeling
Experience with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies
Experience with AI/ML and predictive analytics
Experience with data security and compliance
Experience and with data lifecycle management, data-tiering and data archiving
Experience with Solutions Architecture methodology and practices
Experience with Finance and HCM data and business domains is a plus
Proven track record of execution--driving results and meeting commitments.
Required Education :
BS in Computer Science or related technology field
Preferred Education :
MS Computer Science or related technology field
Jul 29, 2019
Full-time
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. The Enterprise Technology organization drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. This role is part of the Enterprise Business Systems (EBS) organization. Our mission is to provide business technology solutions for the enterprise that empower growth, and enhance value across brands, geographies and organizations. The Data Solutions & Architecture group is part of the Enterprise Technology organization. We are responsible for architecting, developing and managing the data platforms, data integrations and reporting and analytics solutions for The Walt Disney Company’s enterprise business data. We are experts at architecting and building highly scalable data and analytics solutions that meet the business requirements of the groups across the company we support. As part of our team, you will be working with a full range of data technologies and architectures including big data platforms, enterprise data warehouses, pub/sub data messaging, master data management, AI/ML predictive analytics, Robotics Process Automation, and multiple reporting and analytics frameworks and tools. You will be working in a complex, challenging, fast-paced and rewarding environment, with other like-minded peers who are solutions and results oriented, and who enjoy collaboration. Besides being experts in their respective fields, our architects and developers are smart, curious, innovative, solutions-oriented, respectful, highly collaborative and continuous learners. The Principal Data Architect is one of the key architect roles in the organization. This is a strong technology leadership role, responsible for the data architecture of major data and analytics platforms for enterprise business data across TWDC.
Responsibilities :
Responsible for the overall data design and modeling across all of the organization’s data systems, especially the design of data in the major data platforms (data warehouses, data lakes, master data management systems), with focus on data analytics and data reporting and visualization
Responsible for data management across multiple data systems: data governance, data mastering, meta-data management, data definitions, symantec-layer design, data taxonomies and ontologies
Architecting and delivering highly-scalable and flexible, cost-effective enterprise data solutions
Responsible for helping set the technology strategy and roadmaps for the portfolio of data platforms and services across the organization
Responsible for data security and compliance
Designing and documenting data architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
Providing active “hands-on” architectural guidance and leadership through the entire lifecycle of development projects
Translating business requirements into conceptual and detailed technology solutions
Collaborates closely with partners across the organization including other architects, engineering and product managers, and business partners
Performing third-party vendor assessments
Developing and leading proof-of-concepts projects
Keeping fluent in the industry and marketplace evolution--staying current with vendor product offerings and common and emerging data solutions in use across the industry; continuously learning new data technologies and introducing these into the organization
Cross-training peers and mentoring teammates
Basic Qualifications :
Skills & Key Attributes
Current with new technologies and vendor solutions available in the marketplace
Expertise in data architecture and design, for both structured and unstructured data
Expertise in data modeling
Expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies
Expertise in architecting and delivering highly-scalable and flexible, cost effective, cloud-based enterprise data solutions
Fluent understanding of data security and compliance requirements
Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
Understanding of Solutions Architecture methodology and practices
Ability to translate business requirements into conceptual and detailed technology solutions
Ability to perform third-party vendor assessments
Ability to develop and lead proof-of-concepts
Focused on delivering practical, working solutions (no ivory tower solutions)
Fluency in cloud based data storage and analytics offerings
Strong collaboration skills and ability to establish and manage effective working relationships in a matrixed organizational structure
Strong leadership skills
Ability to “influence without authority”
Strong consensus-building ability and negotiating skills
Strong communication and executive presentation skills, both oral and written. Ability to communicate well to both technical and business audiences
Thinks strategically
Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past. Thinks big and broad, without being constrained by existing norms or business models.
Results oriented, biased toward action
Keeps fluent in new technologies and successful sharing with peers and introducing new technologies
Chooses optimism and calls out cynicism and unproductive behavior
Demonstrates stamina, resilience and perseverance under trying circumstances
Experience
10 years plus experience architecting enterprise data solutions
10 years hands-on data design in large-scale and complex data solutions development projects
In-depth experience in data architecture and design for large, complex enterprise data environments, for both structured and unstructured data
Experience architecting and delivering highly-scalable and flexible, cost-effective enterprise data solutions
Experience with data analytics, BI, data reporting and data visualization
Experience with data modeling
Experience with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies
Experience with AI/ML and predictive analytics
Experience with data security and compliance
Experience and with data lifecycle management, data-tiering and data archiving
Experience with Solutions Architecture methodology and practices
Experience with Finance and HCM data and business domains is a plus
Proven track record of execution--driving results and meeting commitments.
Required Education :
BS in Computer Science or related technology field
Preferred Education :
MS Computer Science or related technology field
WWE is a publicly traded (NYSE: WWE), integrated media organization and recognized leader in global entertainment with more than 800 employees. Our mission is to put smiles on people's faces. WWE's PG, family-friendly programming is broadcast in more than 180 countries and 20 languages and reaches more than 800 million homes worldwide.
WWE's operations are organized around four lines of business – Media Division, comprised of WWE Network, Television, Home Entertainment and Digital Media; Live Events; Consumer Products Division, comprised of Licensing, Venue Merchandise and WWEShop; and WWE Studios.
Key Responsibilities:
Execute end to end analytical process: from the formulation of requirements, data acquisition, identification of analytical methods, creation/validation of models to business-friendly summarization of results
Partner with business stakeholders to develop actionable analytical insights, dashboards, and reports
Develop predictive and descriptive models using advanced statistical, optimization, and big data techniques including: multivariate, regression, decision trees/classification, and time series
Identify critical business questions to be answered and contribute to developing analytics-driven solutions and KPIs to enable more effective decision making
Support ongoing projects including subscription forecasting, marketing effectiveness and tracking, analysis of sales trends, customer segmentation and targeting
Create models, KPIs, and dashboards to operationalize outcomes of analytics
Monitor the effectiveness of analytical models and ensure accuracy of all data from source to final deliverable through a systematic data quality control process
Work in a complex data environment comprising several heterogeneous internal and 3rd party data sources, manipulate large data sets and navigate a variety of servers, data types, and data structures to complete statistical and other analyses
Qualifications:
3-5 years of professional experience
Passionate about manipulating and analyzing data in order to drive insights and actionable business recommendations
Ability to synthesize qualitative and quantitative data and communicate relevant insights and recommendations using presentations, reports and data visualization
Demonstrated ability to apply statistical techniques to business problems and to leverage machine learning and predictive analytics where necessary
Proven track record of identifying and highlighting key insights, signals, and trends in underlying data
Analytical experience:
At least 2 years of experience in forecasting and analysis
At least 2 years of experience working with a statistical analysis and Python to drive business decisions
At least 2 years of experience performing data management, mining, and manipulation
Big data platforms (e.g., Redshift, BigQuery, Spark, Qubole)
Business Intelligence and Data Visualization tools (e.g., Tableau, Cognos, Qlik)
Industry experience:
TV, Entertainment, Media, or Sports industry preferred
Familiarity with digital subscription business desired
E-commerce/online retail a big plus
BA/BS degree in a quantitative discipline (e.g., Engineering, Math, Statistics, etc.)
MS or MBA degree preferred
Ability to write SQL code to query and transform both unstructured and structured data
Self-motivated with a "roll up your sleeves" work style and great interpersonal skills
WWE is an Equal Opportunity-Affirmative Action employer and is subject to federal regulations pertaining to employment. WWE does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing nondiscrimination in employment in every location in which the Company has facilities. WWE also provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and any other state or local laws. For information about Privacy and Information Security for WWE employment candidates, please review our Candidate Privacy Policy. For information regarding Terms and Conditions for this and other WWE websites, please review our Terms and Conditions of Use.
Jul 24, 2019
Full-time
WWE is a publicly traded (NYSE: WWE), integrated media organization and recognized leader in global entertainment with more than 800 employees. Our mission is to put smiles on people's faces. WWE's PG, family-friendly programming is broadcast in more than 180 countries and 20 languages and reaches more than 800 million homes worldwide.
WWE's operations are organized around four lines of business – Media Division, comprised of WWE Network, Television, Home Entertainment and Digital Media; Live Events; Consumer Products Division, comprised of Licensing, Venue Merchandise and WWEShop; and WWE Studios.
Key Responsibilities:
Execute end to end analytical process: from the formulation of requirements, data acquisition, identification of analytical methods, creation/validation of models to business-friendly summarization of results
Partner with business stakeholders to develop actionable analytical insights, dashboards, and reports
Develop predictive and descriptive models using advanced statistical, optimization, and big data techniques including: multivariate, regression, decision trees/classification, and time series
Identify critical business questions to be answered and contribute to developing analytics-driven solutions and KPIs to enable more effective decision making
Support ongoing projects including subscription forecasting, marketing effectiveness and tracking, analysis of sales trends, customer segmentation and targeting
Create models, KPIs, and dashboards to operationalize outcomes of analytics
Monitor the effectiveness of analytical models and ensure accuracy of all data from source to final deliverable through a systematic data quality control process
Work in a complex data environment comprising several heterogeneous internal and 3rd party data sources, manipulate large data sets and navigate a variety of servers, data types, and data structures to complete statistical and other analyses
Qualifications:
3-5 years of professional experience
Passionate about manipulating and analyzing data in order to drive insights and actionable business recommendations
Ability to synthesize qualitative and quantitative data and communicate relevant insights and recommendations using presentations, reports and data visualization
Demonstrated ability to apply statistical techniques to business problems and to leverage machine learning and predictive analytics where necessary
Proven track record of identifying and highlighting key insights, signals, and trends in underlying data
Analytical experience:
At least 2 years of experience in forecasting and analysis
At least 2 years of experience working with a statistical analysis and Python to drive business decisions
At least 2 years of experience performing data management, mining, and manipulation
Big data platforms (e.g., Redshift, BigQuery, Spark, Qubole)
Business Intelligence and Data Visualization tools (e.g., Tableau, Cognos, Qlik)
Industry experience:
TV, Entertainment, Media, or Sports industry preferred
Familiarity with digital subscription business desired
E-commerce/online retail a big plus
BA/BS degree in a quantitative discipline (e.g., Engineering, Math, Statistics, etc.)
MS or MBA degree preferred
Ability to write SQL code to query and transform both unstructured and structured data
Self-motivated with a "roll up your sleeves" work style and great interpersonal skills
WWE is an Equal Opportunity-Affirmative Action employer and is subject to federal regulations pertaining to employment. WWE does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, marital status, veteran status, or any other basis prohibited under federal, state or local laws governing nondiscrimination in employment in every location in which the Company has facilities. WWE also provides reasonable accommodation for qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA) and any other state or local laws. For information about Privacy and Information Security for WWE employment candidates, please review our Candidate Privacy Policy. For information regarding Terms and Conditions for this and other WWE websites, please review our Terms and Conditions of Use.
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications :
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience
Aug 18, 2019
Full-time
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Coach data engineers best practices and technical concepts of building large scale data platforms
Basic Qualifications :
3-5 years of experience developing in object oriented Python
Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis
Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques
Familiar with metadata management, data lineage, and principles of data governance
Experience loading and querying cloud-hosted databases such as Redshift and Snowflake
Building streaming data pipelines using Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience building and deploying ML pipelines: training models, feature development, regression testing
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data providers ranging from marketing, web analytics, and consumer devices metrics
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Basic Qualifications :
2-3 years of experience developing in object oriented Python
Familiar with big-data solutions using technologies like EMR, S3, Spark
Loading and querying cloud-hosted databases such as Redshift and Snowflake
Building data pipelines using Kinesis, Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying and using data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience
Aug 18, 2019
Full-time
Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you.
Responsibilities :
Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions
Build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably
Integrate with a variety of data providers ranging from marketing, web analytics, and consumer devices metrics
Build and maintain dimensional data warehouses in support of business intelligence tools
Develop data catalogs and data validations to ensure clarity and correctness of key business metrics
Drive and maintain a culture of quality, innovation and experimentation
Basic Qualifications :
2-3 years of experience developing in object oriented Python
Familiar with big-data solutions using technologies like EMR, S3, Spark
Loading and querying cloud-hosted databases such as Redshift and Snowflake
Building data pipelines using Kinesis, Kafka, Spark, or Flink
Preferred Qualifications:
Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift
Experience deploying and using data notebook and analytic environments such as Jupyter and Databricks
Knowledge of the Python data ecosystem using pandas and numpy
Experience with graph-based data workflows using Apache Airflow
Required Education :
Bachelor’s degree in Computer Science or related field or equivalent work experience
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discover, planning, transacting, and management to enable decision making and optimization. The Omni-Channel Analyst is a key contributor to the Omni-Channel Analytics team. He/she will have the opportunity to work with large data sets and cloud environment tools with the goal of establishing subject matter expertise in specific lines of business supported by CIMA. In order to succeed in the role, the Omni-Channel Analyst must possess a passion for data, quality assurance, and analysis to improve business performance and/or Guest satisfaction at the pace of business. In order to excel in the role, the Omni-Channel Analyst must further the analytical sophistication of the team. The position reports to the Senior Manager, Omni-Channel Analytics and does not have direct reports.
Responsibilities :
The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following:
Data Strategy / Architecture
Work with business partners to determine needs and requirements
Identify and document data requirements to support both ongoing and ad hoc analysis
Learn new data sets from various lines of business, to develop an expertise in those data sets
Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data.
Data Analysis and Insights
QA data to ensure accuracy
Analyze and mine data to find opportunities in time allotted
Undertake proactive and reactive ad-hoc requests as needed
Make business recommendations based on the data findings
Drive more efficient and sophisticated analytical insights
Basic Qualifications :
The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following: Data Strategy / Architecture
Work with business partners to determine needs and requirements
Identify and document data requirements to support both ongoing and ad hoc analysis
Learn new data sets from various lines of business, to develop an expertise in those data sets
Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data.
Data Analysis and Insights
QA data to ensure accuracy
Analyze and mine data to find opportunities in time allotted
Undertake proactive and reactive ad-hoc requests as needed
Make business recommendations based on the data findings
Drive more efficient and sophisticated analytical insights
Data Delivery / Distribution
Develop efficient queries and tables for ongoing and adhoc analysis
Convey and highlight recommendations to tell the story with data
Ensure partners understand the data, table, processes
The Omni-Channel Analyst’s preferred qualifications include:
3+ years of relational database experience
3+ years of analytical experience
Ability to apply statistical rigor to analyses
Knowledge of “big data” environments and tools
Experience with digital and contact center data and analytics
Experience with hostility data and analytics
Experience with data warehouse platforms such as My SQL, SQL Server, Teradata
Required Education :
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc
Aug 09, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Walt Disney Parks and Resorts (WDPR). CIMA influences decision making with integrated, objective, and actionable insights. Within CIMA, the Digital & Travel Operations Analytics (DTOA) team provides analysis across the primary modes used by Guests/clients for vacation discover, planning, transacting, and management to enable decision making and optimization. The Omni-Channel Analyst is a key contributor to the Omni-Channel Analytics team. He/she will have the opportunity to work with large data sets and cloud environment tools with the goal of establishing subject matter expertise in specific lines of business supported by CIMA. In order to succeed in the role, the Omni-Channel Analyst must possess a passion for data, quality assurance, and analysis to improve business performance and/or Guest satisfaction at the pace of business. In order to excel in the role, the Omni-Channel Analyst must further the analytical sophistication of the team. The position reports to the Senior Manager, Omni-Channel Analytics and does not have direct reports.
Responsibilities :
The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following:
Data Strategy / Architecture
Work with business partners to determine needs and requirements
Identify and document data requirements to support both ongoing and ad hoc analysis
Learn new data sets from various lines of business, to develop an expertise in those data sets
Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data.
Data Analysis and Insights
QA data to ensure accuracy
Analyze and mine data to find opportunities in time allotted
Undertake proactive and reactive ad-hoc requests as needed
Make business recommendations based on the data findings
Drive more efficient and sophisticated analytical insights
Basic Qualifications :
The Omni-Channel Analyst’s key responsibilities include, but are not limited to, the following: Data Strategy / Architecture
Work with business partners to determine needs and requirements
Identify and document data requirements to support both ongoing and ad hoc analysis
Learn new data sets from various lines of business, to develop an expertise in those data sets
Partner with the Data Services team to manage new data requests, document and automate data processes, and apply business logic to source data.
Data Analysis and Insights
QA data to ensure accuracy
Analyze and mine data to find opportunities in time allotted
Undertake proactive and reactive ad-hoc requests as needed
Make business recommendations based on the data findings
Drive more efficient and sophisticated analytical insights
Data Delivery / Distribution
Develop efficient queries and tables for ongoing and adhoc analysis
Convey and highlight recommendations to tell the story with data
Ensure partners understand the data, table, processes
The Omni-Channel Analyst’s preferred qualifications include:
3+ years of relational database experience
3+ years of analytical experience
Ability to apply statistical rigor to analyses
Knowledge of “big data” environments and tools
Experience with digital and contact center data and analytics
Experience with hostility data and analytics
Experience with data warehouse platforms such as My SQL, SQL Server, Teradata
Required Education :
Bachelor’s degree in analytical/quantitative field – e.g. statistics, economics, mathematics, marketing analytics, engineering, etc
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International (DTCI) segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world. The Walt Disney Company’s Direct-to-Consumer and International segment (DTCI) is a global, multiplatform media, technology and distribution organization for high-quality content created by Disney’s Studio Entertainment and Media Networks groups. DTCI includes Disney’s international media operations and the Company’s direct-to-consumer businesses globally, including the upcoming Disney-branded direct-to-consumer streaming service, the Company’s ownership stake in Hulu, and the ESPN+ sports streaming service, programmed in partnership with ESPN. BAMTECH Media, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company as part of the Direct-to-Consumer and International segment. The Data Quality team partners with the Product Management and Engineering functions of the Data Platform team as well as with legal, privacy and the industry group to ensure consistent, trustworthy data across all of DTCI and TWDC. The group creates strategy designed to ensure quality data that is also secure and compliant with internal and legal standards. The group works with other groups within the DTCI technology organization to implement the data quality strategy within platform components, reporting and analytics, tools and compliance standards.· This Director, Data Quality is a leadership position within the Data Platforms group of The Walt Disney Company’s Direct-to-Consumer and International Technology (DTCI) division. This role reports to the Senior Vice President, Data Platforms.
Responsibilities :
Providing leadership for the data quality and governance strategy and analysis functions within the DTCI Data Platforms team. This includes working with existing data governance functions within The Walt Disney Company as well as developing the data governance strategy, policies and standards, and key risk metrics.
Partner with the Vice President, Data Platforms Product Management and Vice President, Data
Platforms Engineering on the product strategy, platform capabilities, tools and deliverables necessary to imbue the platform the proper set of complete, compliant and secure data
Presenting within the technical domain to and partnering with individual engineers, analysts andexecutives.
Defining and delivering against data governance policies and procedures in a federated and complex organizational construct using a combination of influence and authority to execute broad strategic objectives.
Educate and influence senior technology and business leadership in the data quality domain, articulating conceptual ideas and their impact to a widely divergent audience using excellent verbal, written, and listening skills.
Specific Responsibilities:
Define the data quality strategy and liaise to ensure proper implementation
Define and implement data governance structure, policies and procedures and ensure compliance; implement control functions and KPIs to monitor compliance
Ensure rigorous data management standards. Identify and address existing data quality issues and implement road maps for tactical and strategic enhancements
Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures
Define and implement detailed standards, aligned to support all underlying data systems
Ensure compliance with regulatory requirements related to user data.
Document the security and privacy requirements for different categories of TWDC and DTCI data
Basic Qualifications :
Experience with data warehouse, database and data management concepts, processes, tools and technologies including BI, Big Data, ETL and MPP databases preferred
Excellent communication skills (oral and written) and organizational skills
Able to communicate at multiple levels ranging from front-line personnel to C-level executives
Demonstrates deep understanding of database related audit and compliance goals and processes
Must possess the proven ability to assess information security, policies and procedures and operational risk
Background in data and information management projects, operating in a highly complex and regulated environment
Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures
Ensure compliance with regulatory requirements related to user data
Required Education :
Bachelor’s degree, with equivalent work experience in MIS, Computer Science or related discipline.
Jul 29, 2019
Full-time
Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International (DTCI) segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world. The Walt Disney Company’s Direct-to-Consumer and International segment (DTCI) is a global, multiplatform media, technology and distribution organization for high-quality content created by Disney’s Studio Entertainment and Media Networks groups. DTCI includes Disney’s international media operations and the Company’s direct-to-consumer businesses globally, including the upcoming Disney-branded direct-to-consumer streaming service, the Company’s ownership stake in Hulu, and the ESPN+ sports streaming service, programmed in partnership with ESPN. BAMTECH Media, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company as part of the Direct-to-Consumer and International segment. The Data Quality team partners with the Product Management and Engineering functions of the Data Platform team as well as with legal, privacy and the industry group to ensure consistent, trustworthy data across all of DTCI and TWDC. The group creates strategy designed to ensure quality data that is also secure and compliant with internal and legal standards. The group works with other groups within the DTCI technology organization to implement the data quality strategy within platform components, reporting and analytics, tools and compliance standards.· This Director, Data Quality is a leadership position within the Data Platforms group of The Walt Disney Company’s Direct-to-Consumer and International Technology (DTCI) division. This role reports to the Senior Vice President, Data Platforms.
Responsibilities :
Providing leadership for the data quality and governance strategy and analysis functions within the DTCI Data Platforms team. This includes working with existing data governance functions within The Walt Disney Company as well as developing the data governance strategy, policies and standards, and key risk metrics.
Partner with the Vice President, Data Platforms Product Management and Vice President, Data
Platforms Engineering on the product strategy, platform capabilities, tools and deliverables necessary to imbue the platform the proper set of complete, compliant and secure data
Presenting within the technical domain to and partnering with individual engineers, analysts andexecutives.
Defining and delivering against data governance policies and procedures in a federated and complex organizational construct using a combination of influence and authority to execute broad strategic objectives.
Educate and influence senior technology and business leadership in the data quality domain, articulating conceptual ideas and their impact to a widely divergent audience using excellent verbal, written, and listening skills.
Specific Responsibilities:
Define the data quality strategy and liaise to ensure proper implementation
Define and implement data governance structure, policies and procedures and ensure compliance; implement control functions and KPIs to monitor compliance
Ensure rigorous data management standards. Identify and address existing data quality issues and implement road maps for tactical and strategic enhancements
Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures
Define and implement detailed standards, aligned to support all underlying data systems
Ensure compliance with regulatory requirements related to user data.
Document the security and privacy requirements for different categories of TWDC and DTCI data
Basic Qualifications :
Experience with data warehouse, database and data management concepts, processes, tools and technologies including BI, Big Data, ETL and MPP databases preferred
Excellent communication skills (oral and written) and organizational skills
Able to communicate at multiple levels ranging from front-line personnel to C-level executives
Demonstrates deep understanding of database related audit and compliance goals and processes
Must possess the proven ability to assess information security, policies and procedures and operational risk
Background in data and information management projects, operating in a highly complex and regulated environment
Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures
Ensure compliance with regulatory requirements related to user data
Required Education :
Bachelor’s degree, with equivalent work experience in MIS, Computer Science or related discipline.
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world.
Responsibilities :
The mission of the Customer Information Management team is to optimize the value of customer data for use in building direct customer relationships and delivering relevant customer experiences across TWDC’s brands and businesses globally. As a central resource for company-wide customer data, the team partners with stakeholders across the company to establish data practices, policies and capabilities to collect, use and share data in support business objectives, while maintaining respectful consumer data practices. Primary responsibilities of the group are to:
Enrich enterprise data assets by acquiring, organizing and aggregating customer data from various sources to construct a full and accurate view of a customer’s interactions with the company for use in direct/email marketing, targeted media campaigns and analytics.
Deliver customer data, data analysis support and customer data insights to businesses on as needed basis, including audience selection and segmentation services as well as email marketing campaign services.
Establish global, company-wide standards and business policies for collection, sharing, use and retention of customer information, including standards for cross-business use, communication/targeting relevance and other brand-related controls.
Own and operate enterprise-wide tools and capabilities, including the shared enterprise-wide customer/ marketing data environment and any company-wide customer-facing tools (e.g., customer preference and email permission centers)
Basic Qualifications:
If you’re passionate about helping businesses leverage customer data for marketing and consumer insights and have a soft spot for the brands of the Walt Disney Company, we want to talk to you. The Manager will work with internal CIM campaign management teams as well as external BU marketing team to understand data needs and business requirements related to customer data. The manager will then define, code (using SQL), schedule, run and maintain manual data processing jobs as well as automated data processing jobs that transform critical (raw) source data sets into structured and standardized formats for use by business unit marketing teams and CIM’s internal campaign management team. This includes but is not limited to the creation of franchise and business affinity indicators based on analysis of customer transactions, website/app interactions, account registration and login activity and email campaign responses. The manager will also lead projects to acquire new data, including evaluating the quality, consistency, organization, volume and utility of customer data for use by CIM and other business unit marketing teams. The manager will produce ad hoc reports based on business and leadership needs by constructing analytical queries using SQL providing insights and tracking recent customer transactions, cross-line-of business engagement, and other key performance indicators. This position has 1 direct report (undergraduate associate).
Maintain Franchise Layer (run processing jobs transforming raw interaction data into summary flags), including updating, testing and releasing new SQL code to production to capture new franchise interaction data. Ensure franchise data is updated weekly and available for use by marketing stakeholders. Provide ad hoc analysis and reporting against franchise interaction data.
Oversee execution of scheduled data transfers to Chase Bank on behalf of Disney Rewards Visa Card (DRVC) group. Collaborate with DRVC to define new customer data goals and translate into project plans. Execute technical requirements as needed, including ad hoc analysis and reporting as needed.
Lead data onboarding projects in collaboration with technology partners, including analysis and evaluation of source data as well as documentation of source data taxonomy and data transformation requirements.
Develop and maintain technical documentation of all assigned data processing activities, automated and manual, current and new, including business rules, data sources, data processing requirements and related logic.
In collaboration with leadership, identify opportunities for automation and execute technical requirements.
Total of 5+ years of progressively increasing responsibility in data analysis, business intelligence or data science roles during which both technical and management capability have been clearly demonstrated.
Experience managing technology investments and costs related to vendor solutions as well as internal technical development investments
3 + year experience managing data analysts, BI developers, and/or data scientists.
Intermediate level SQL expertise, experience writing SQL queries against large data sets.
Demonstrated experience with databases, business intelligence tools, reporting, analytical environments
Extensive expertise and knowledge in how data assets are used in marketing, consumer strategy, reporting, analytical functions.
Experience with large scale, multi-terabyte level data solutions supporting direct-to-consumer marketing.
Expertise in understanding business needs and working with non-technical and non-customer data centric marketers
Excellent interpersonal skills working with customers and engineers; equally credible with individual contributors and executives.
Required Education:
4-year bachelor’s degree in computer science/information science/engineering or related Bachelor of Arts degree with heavy focus on analytical and statistical methods.
Preferred Education:
Master's degree in computer science/information science/engineering or related Master of Arts degree with heavy focus on analytical and statistical methods.
Jul 29, 2019
Full-time
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world.
Responsibilities :
The mission of the Customer Information Management team is to optimize the value of customer data for use in building direct customer relationships and delivering relevant customer experiences across TWDC’s brands and businesses globally. As a central resource for company-wide customer data, the team partners with stakeholders across the company to establish data practices, policies and capabilities to collect, use and share data in support business objectives, while maintaining respectful consumer data practices. Primary responsibilities of the group are to:
Enrich enterprise data assets by acquiring, organizing and aggregating customer data from various sources to construct a full and accurate view of a customer’s interactions with the company for use in direct/email marketing, targeted media campaigns and analytics.
Deliver customer data, data analysis support and customer data insights to businesses on as needed basis, including audience selection and segmentation services as well as email marketing campaign services.
Establish global, company-wide standards and business policies for collection, sharing, use and retention of customer information, including standards for cross-business use, communication/targeting relevance and other brand-related controls.
Own and operate enterprise-wide tools and capabilities, including the shared enterprise-wide customer/ marketing data environment and any company-wide customer-facing tools (e.g., customer preference and email permission centers)
Basic Qualifications:
If you’re passionate about helping businesses leverage customer data for marketing and consumer insights and have a soft spot for the brands of the Walt Disney Company, we want to talk to you. The Manager will work with internal CIM campaign management teams as well as external BU marketing team to understand data needs and business requirements related to customer data. The manager will then define, code (using SQL), schedule, run and maintain manual data processing jobs as well as automated data processing jobs that transform critical (raw) source data sets into structured and standardized formats for use by business unit marketing teams and CIM’s internal campaign management team. This includes but is not limited to the creation of franchise and business affinity indicators based on analysis of customer transactions, website/app interactions, account registration and login activity and email campaign responses. The manager will also lead projects to acquire new data, including evaluating the quality, consistency, organization, volume and utility of customer data for use by CIM and other business unit marketing teams. The manager will produce ad hoc reports based on business and leadership needs by constructing analytical queries using SQL providing insights and tracking recent customer transactions, cross-line-of business engagement, and other key performance indicators. This position has 1 direct report (undergraduate associate).
Maintain Franchise Layer (run processing jobs transforming raw interaction data into summary flags), including updating, testing and releasing new SQL code to production to capture new franchise interaction data. Ensure franchise data is updated weekly and available for use by marketing stakeholders. Provide ad hoc analysis and reporting against franchise interaction data.
Oversee execution of scheduled data transfers to Chase Bank on behalf of Disney Rewards Visa Card (DRVC) group. Collaborate with DRVC to define new customer data goals and translate into project plans. Execute technical requirements as needed, including ad hoc analysis and reporting as needed.
Lead data onboarding projects in collaboration with technology partners, including analysis and evaluation of source data as well as documentation of source data taxonomy and data transformation requirements.
Develop and maintain technical documentation of all assigned data processing activities, automated and manual, current and new, including business rules, data sources, data processing requirements and related logic.
In collaboration with leadership, identify opportunities for automation and execute technical requirements.
Total of 5+ years of progressively increasing responsibility in data analysis, business intelligence or data science roles during which both technical and management capability have been clearly demonstrated.
Experience managing technology investments and costs related to vendor solutions as well as internal technical development investments
3 + year experience managing data analysts, BI developers, and/or data scientists.
Intermediate level SQL expertise, experience writing SQL queries against large data sets.
Demonstrated experience with databases, business intelligence tools, reporting, analytical environments
Extensive expertise and knowledge in how data assets are used in marketing, consumer strategy, reporting, analytical functions.
Experience with large scale, multi-terabyte level data solutions supporting direct-to-consumer marketing.
Expertise in understanding business needs and working with non-technical and non-customer data centric marketers
Excellent interpersonal skills working with customers and engineers; equally credible with individual contributors and executives.
Required Education:
4-year bachelor’s degree in computer science/information science/engineering or related Bachelor of Arts degree with heavy focus on analytical and statistical methods.
Preferred Education:
Master's degree in computer science/information science/engineering or related Master of Arts degree with heavy focus on analytical and statistical methods.
Imagine yourself as a Sr. Workforce Analyst in People Insights where your natural curiosity for problem solving will help ensure we are leveraging data effectively to drive decisions within Human Resources. In this role, you will be able to blaze new paths in this data rich environment through developing data and reporting solutions that support functions within HR and the business. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through complex analysis, creative resolutions and impactful solutions. You have a curiosity that leads you to always ask, “What's possible?” and you have the ability to bring those concepts to reality in everything you touch from operational reports through strategic analytics.
Responsibilities :
Translate high-level business objectives into consistent, accurate, efficient and effective reporting solutions, primarily through creating SQL extracts out of a highly normalized database for our data visualization team.
Leverage an array of technical applications and determine which is most appropriate for any given solution
Work collaboratively with other team members to develop comprehensive scalable data solutions which support cross-functional needs
Provide subject matter expertise regarding data, systems and the business
Partner with the data operations team to identify areas of opportunity to effectively combine data from disparate sources
Connect to and transform data using a consistent, sustainable approach
Collaborate across boundaries to build and drive both internal and external partnerships to support synergistic opportunities, achievement of shared objectives, and connectivity of information
Drive process improvement initiatives for client businesses to enhance visibility and accessibility to relevant information
Identify areas of opportunity and influence across levels and business units to increase operational efficiency
Basic Qualifications :
5+ years of experience in data analytics
You have deep technical knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail
You are an abstract thinker with the ability to solve complex problems in creative, sustainable ways
You have strong critical thinking skills and ask relevant questions to improve processes and build efficiencies
You possess the talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities
You can focus on the here and now while keeping a keen eye to the future and the organizational capability to prioritize work
You have the exceptional ability to make timely and effective decisions to meet fluid deadlines
You are proactive and self-motivated with the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends
You can effectively handle and maintain confidential information
You are highly skilled in SQL with a thorough understanding of data and systems' infrastructures and how to best apply that knowledge when modeling your SQL extracts.
Jul 29, 2019
Full-time
Imagine yourself as a Sr. Workforce Analyst in People Insights where your natural curiosity for problem solving will help ensure we are leveraging data effectively to drive decisions within Human Resources. In this role, you will be able to blaze new paths in this data rich environment through developing data and reporting solutions that support functions within HR and the business. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through complex analysis, creative resolutions and impactful solutions. You have a curiosity that leads you to always ask, “What's possible?” and you have the ability to bring those concepts to reality in everything you touch from operational reports through strategic analytics.
Responsibilities :
Translate high-level business objectives into consistent, accurate, efficient and effective reporting solutions, primarily through creating SQL extracts out of a highly normalized database for our data visualization team.
Leverage an array of technical applications and determine which is most appropriate for any given solution
Work collaboratively with other team members to develop comprehensive scalable data solutions which support cross-functional needs
Provide subject matter expertise regarding data, systems and the business
Partner with the data operations team to identify areas of opportunity to effectively combine data from disparate sources
Connect to and transform data using a consistent, sustainable approach
Collaborate across boundaries to build and drive both internal and external partnerships to support synergistic opportunities, achievement of shared objectives, and connectivity of information
Drive process improvement initiatives for client businesses to enhance visibility and accessibility to relevant information
Identify areas of opportunity and influence across levels and business units to increase operational efficiency
Basic Qualifications :
5+ years of experience in data analytics
You have deep technical knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail
You are an abstract thinker with the ability to solve complex problems in creative, sustainable ways
You have strong critical thinking skills and ask relevant questions to improve processes and build efficiencies
You possess the talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities
You can focus on the here and now while keeping a keen eye to the future and the organizational capability to prioritize work
You have the exceptional ability to make timely and effective decisions to meet fluid deadlines
You are proactive and self-motivated with the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends
You can effectively handle and maintain confidential information
You are highly skilled in SQL with a thorough understanding of data and systems' infrastructures and how to best apply that knowledge when modeling your SQL extracts.
Direct-to-Consumer-and-International (DTCI) is Disney’s global, multiplatform media, product, technology, and distribution organization for world-class content. DTCI is comprised of Disney’s international media and direct-to-consumer businesses globally, including all Disney networks outside of the US, the ESPN+ streaming service, the upcoming Disney-branded direct-to-consumer streaming service and the Company’s ownership stake in Hulu. The DTCI Tech organization focuses on providing ground-breaking innovation and driving the strategic use and development of technology to power the DTCI business, deliver world-class products and experiences to consumers around the world. The Data Platform group within DTCI Tech, is charged with developing a consolidated data platform that supports DTCI business stakeholders with the means to access, activate and analyze all of Disney’s consumer data in a secure and compliant way. The Sr Product Manager, Self-Serve Identity & Analytics role will focus on enabling analytics solutions and interfaces that service from the data platform to direct stakeholders across DTCI. You provide intake, review, and roadmaps to service the products to stakeholder requirements. You are the connective tissue between the business intelligence needs and the data platform. You will also inform the platform strategy to enable speed to market through POCs as well as execution and launch of integrated analytics solutions for business units. You should also be familiar with identity resolution efforts and the variety of compliance and privacy efforts in the marketplace. You must be an analytical, articulate, and business-minded, capable of setting strategic priorities, executing tactically and communicating effectively to stakeholders at senior and peer levels throughout the course of a product lifecycle.
Responsibilities :
Manage roadmap and pipeline of all dependent analytics systems across data platform.
Develop new and custom analytics and business intelligence solutions from data platform.
Manage identity graphing efforts with internal data science teams.
Coordinate with stakeholders and product marketing to ensure proper requirements.
Manage identity vendor and technology.
Basic Qualifications :
Must have minimum 5 years previous experience in data analytics, business reporting, business intelligence, data technology and/or consulting in a related field.
Must have familiarity with big data processing (Snowflake, Redshift, etc.), business intelligence solutions (e.g. Looker, DOMO, etc.), and measurement solutions (Adobe, Localytics, etc.).
Familiarity with API and data deployment mechanisms.
Familiarity with identity reconciliation processes both internally developed and vendor developed.
Demonstrated experience with running complex projects across a matrixed organization.
Required Education :
Bachelors
Jul 29, 2019
Full-time
Direct-to-Consumer-and-International (DTCI) is Disney’s global, multiplatform media, product, technology, and distribution organization for world-class content. DTCI is comprised of Disney’s international media and direct-to-consumer businesses globally, including all Disney networks outside of the US, the ESPN+ streaming service, the upcoming Disney-branded direct-to-consumer streaming service and the Company’s ownership stake in Hulu. The DTCI Tech organization focuses on providing ground-breaking innovation and driving the strategic use and development of technology to power the DTCI business, deliver world-class products and experiences to consumers around the world. The Data Platform group within DTCI Tech, is charged with developing a consolidated data platform that supports DTCI business stakeholders with the means to access, activate and analyze all of Disney’s consumer data in a secure and compliant way. The Sr Product Manager, Self-Serve Identity & Analytics role will focus on enabling analytics solutions and interfaces that service from the data platform to direct stakeholders across DTCI. You provide intake, review, and roadmaps to service the products to stakeholder requirements. You are the connective tissue between the business intelligence needs and the data platform. You will also inform the platform strategy to enable speed to market through POCs as well as execution and launch of integrated analytics solutions for business units. You should also be familiar with identity resolution efforts and the variety of compliance and privacy efforts in the marketplace. You must be an analytical, articulate, and business-minded, capable of setting strategic priorities, executing tactically and communicating effectively to stakeholders at senior and peer levels throughout the course of a product lifecycle.
Responsibilities :
Manage roadmap and pipeline of all dependent analytics systems across data platform.
Develop new and custom analytics and business intelligence solutions from data platform.
Manage identity graphing efforts with internal data science teams.
Coordinate with stakeholders and product marketing to ensure proper requirements.
Manage identity vendor and technology.
Basic Qualifications :
Must have minimum 5 years previous experience in data analytics, business reporting, business intelligence, data technology and/or consulting in a related field.
Must have familiarity with big data processing (Snowflake, Redshift, etc.), business intelligence solutions (e.g. Looker, DOMO, etc.), and measurement solutions (Adobe, Localytics, etc.).
Familiarity with API and data deployment mechanisms.
Familiarity with identity reconciliation processes both internally developed and vendor developed.
Demonstrated experience with running complex projects across a matrixed organization.
Required Education :
Bachelors
Disney Technology and International (DTCI) is a newly created segment of the Walt Disney Company that is building out an Enterprise Consumer Data Platform, eCDP, which will be leveraged across the company to better understand our consumers’ activity across the various segments and provide a more personalized marketing experience. The Consumer Identity and Data Platforms (CIDP) department has a Data Governance organization of which Data Quality is a critical and highly visible function. The Disney Technology and International (DTCI) segment of the Walt Disney Company is seeking a Senior-Level Data Quality Analyst to support the Data Quality Management function of Data Governance across the Customer Identity and Data Platforms (CIDP) organization. This role requires a background in data management and data quality in a data warehousing, business intelligence, and/or analytics environment. This is a business-facing role, which requires a significant level of interaction with both technical and business stakeholders at multiple levels, as well as several IT constituents and data owners.
Responsibilities :
Participate in Data Governance program activities and processes to include Data Quality Management (primary), Data Stewardship (supporting), and Metadata Management (supporting).
Perform on-going data profiling and data quality activities to include deep dive analysis on large datasets and complex data flows across multiple enterprise applications to include the Enterprise Permissions Center (EPC), Enterprise Data Platform (EDP), legacy Athena (Online registrations and login data), and the Enterprise Consumer Data Platform (eCDP).
Define data quality requirements; evaluate and identify where system enhancements are required to address data quality issues; e.g., code fixes, source system changes, etc. Define business rules and exception handling processes as needed.
Design reports on Data Quality for all levels of audiences and stakeholders.
Drive data quality issue resolution and collaboration with data providers, data stewards, and recipients to include: DQ improvement plans, communications, and tasks required for CIDP DQ initiatives.
Support automation opportunities for Data Quality improvement processes.
Provide a high level of data quality awareness across multiple staff profiles engineering managers, product managers, product owners, and engineers.
Basic Qualifications :
B.S. MIS, Computer Science, or other related field.
5-7 years of experience in Data Quality Management projects
Understanding of Data Management Principles and Data Quality Improvement
Solid understanding of Data Warehousing architecture
Experience in the following:
Defining Data Quality assessments, remediation, and continuous improvement plans
Solid understanding of Data Warehouse architecture principles
Root cause analysis
Data Story Telling
Advanced knowledge of SQL
Strong communication skills (written and oral) to all staff levels and possess ability to deliver information tactfully. Ability to work with internal teams and external vendor teams
Detail-oriented and able to multitask according to project priorities and with complex requirements and aggressive timelines.
Preferred Qualifications:
Data Quality certification IQCP, CIMP
Experience with Data Quality Products such as Informatica IDQ.
Tableau Reporting
Experience with complex process analysis and technical implementations of data solutions
Knowledge of agile SDLC methodologies
Possesses understanding of customer behavior analysis and customer data integration
Experience with Metadata tools; e.g., Collibra, Informatica Axon/EDC.
Knowledge of Big Data architecture
Jul 29, 2019
Full-time
Disney Technology and International (DTCI) is a newly created segment of the Walt Disney Company that is building out an Enterprise Consumer Data Platform, eCDP, which will be leveraged across the company to better understand our consumers’ activity across the various segments and provide a more personalized marketing experience. The Consumer Identity and Data Platforms (CIDP) department has a Data Governance organization of which Data Quality is a critical and highly visible function. The Disney Technology and International (DTCI) segment of the Walt Disney Company is seeking a Senior-Level Data Quality Analyst to support the Data Quality Management function of Data Governance across the Customer Identity and Data Platforms (CIDP) organization. This role requires a background in data management and data quality in a data warehousing, business intelligence, and/or analytics environment. This is a business-facing role, which requires a significant level of interaction with both technical and business stakeholders at multiple levels, as well as several IT constituents and data owners.
Responsibilities :
Participate in Data Governance program activities and processes to include Data Quality Management (primary), Data Stewardship (supporting), and Metadata Management (supporting).
Perform on-going data profiling and data quality activities to include deep dive analysis on large datasets and complex data flows across multiple enterprise applications to include the Enterprise Permissions Center (EPC), Enterprise Data Platform (EDP), legacy Athena (Online registrations and login data), and the Enterprise Consumer Data Platform (eCDP).
Define data quality requirements; evaluate and identify where system enhancements are required to address data quality issues; e.g., code fixes, source system changes, etc. Define business rules and exception handling processes as needed.
Design reports on Data Quality for all levels of audiences and stakeholders.
Drive data quality issue resolution and collaboration with data providers, data stewards, and recipients to include: DQ improvement plans, communications, and tasks required for CIDP DQ initiatives.
Support automation opportunities for Data Quality improvement processes.
Provide a high level of data quality awareness across multiple staff profiles engineering managers, product managers, product owners, and engineers.
Basic Qualifications :
B.S. MIS, Computer Science, or other related field.
5-7 years of experience in Data Quality Management projects
Understanding of Data Management Principles and Data Quality Improvement
Solid understanding of Data Warehousing architecture
Experience in the following:
Defining Data Quality assessments, remediation, and continuous improvement plans
Solid understanding of Data Warehouse architecture principles
Root cause analysis
Data Story Telling
Advanced knowledge of SQL
Strong communication skills (written and oral) to all staff levels and possess ability to deliver information tactfully. Ability to work with internal teams and external vendor teams
Detail-oriented and able to multitask according to project priorities and with complex requirements and aggressive timelines.
Preferred Qualifications:
Data Quality certification IQCP, CIMP
Experience with Data Quality Products such as Informatica IDQ.
Tableau Reporting
Experience with complex process analysis and technical implementations of data solutions
Knowledge of agile SDLC methodologies
Possesses understanding of customer behavior analysis and customer data integration
Experience with Metadata tools; e.g., Collibra, Informatica Axon/EDC.
Knowledge of Big Data architecture
