The BI Analyst II – CVL is responsible for providing BI solutions that effectively monitor Commercial Lending business activity and facilitate strategic decision making.
Job Duties
Develop and maintain accurate and effective data solutions such as list reports, crosstabs, charts, interactive dashboards and ETL processes using Cognos Analytics, SAS Enterprise Guide, SAS Visual Analytics and Informatica for users both within the department and across the company
Lead collaborative sessions with various business groups to gather and document BI project requirements
Work with various ITS and business functions such as Systems Integration, Data Warehouse and BI Administration to ensure that source system data is available for assigned projects
Properly document BI processes as they are moved into production
Continually seek opportunities to refine, improve, and automate data gathering and reporting
Complete ad-hoc reporting requests as needed
Maintain a thorough understanding of Commercial Lending and source system processes and the associated impacts on data sources
Establish and maintain positive working relationships with internal Commercial Lending team members and various external departments
Act as a resource for less experienced Commercial Lending BI team members, providing guidance on more complex tasks
Seek training and mentoring from peers for cross-functional growth, learning, and career development
Perform other duties as assigned
Conform with all corporate policies and procedures
Knowledge
Strong understanding of relational database technology and design
Strong understanding of data visualization concepts
Strong understanding of ETL concepts
Advanced knowledge of Cognos Report Studio/Cognos Analytics, SAS Enterprise Guide, SAS Visual Analytics, Informatica, and Oracle SQL queries
Advanced knowledge of MS Excel, MS Power Point, and MS Word
Understanding of Consumer or Commercial Lending with emphasis on auto finance loan and lease product offerings to borrowers a plus
Understanding of Fiserv LOS and LeaseMaster a plus
Skills
Advanced problem-solving and critical thinking skills that allow for the use of unconventional solutions when necessary
Advanced analytical and technical skills with demonstrated high attention to detail
Ability to effectively analyze and gather requirements from all levels of management
Extremely proactive and naturally inquisitive, with a strong bias for action
Ability to use appropriate and reasonable analysis, judgment, logic and communications methods when solving problems, making decisions, and communicating results
Ability to design and implement data solutions with minimal supervision
Ability to successfully prioritize and manage multiple assignments simultaneously
Interpersonal skills necessary to develop and maintain productive relationships
Ability to effectively communicate with team members of various technical and business backgrounds
Ability to listen to and communicate effectively with others, both verbally and in writing
Must demonstrate uncompromised integrity, while successfully managing work demands, day-to-day pressures and meeting established deadlines
Education
Bachelor’s Degree in Business or computer related field preferred
Experience
3-5 years of experience in a reporting, BI, or ETL role preferred
Working Conditions
High energy and fast paced office environment subject to stressful conditions and required deadlines
Work schedule may include some nights or weekends as needed
May 09, 2019
Full-time
The BI Analyst II – CVL is responsible for providing BI solutions that effectively monitor Commercial Lending business activity and facilitate strategic decision making.
Job Duties
Develop and maintain accurate and effective data solutions such as list reports, crosstabs, charts, interactive dashboards and ETL processes using Cognos Analytics, SAS Enterprise Guide, SAS Visual Analytics and Informatica for users both within the department and across the company
Lead collaborative sessions with various business groups to gather and document BI project requirements
Work with various ITS and business functions such as Systems Integration, Data Warehouse and BI Administration to ensure that source system data is available for assigned projects
Properly document BI processes as they are moved into production
Continually seek opportunities to refine, improve, and automate data gathering and reporting
Complete ad-hoc reporting requests as needed
Maintain a thorough understanding of Commercial Lending and source system processes and the associated impacts on data sources
Establish and maintain positive working relationships with internal Commercial Lending team members and various external departments
Act as a resource for less experienced Commercial Lending BI team members, providing guidance on more complex tasks
Seek training and mentoring from peers for cross-functional growth, learning, and career development
Perform other duties as assigned
Conform with all corporate policies and procedures
Knowledge
Strong understanding of relational database technology and design
Strong understanding of data visualization concepts
Strong understanding of ETL concepts
Advanced knowledge of Cognos Report Studio/Cognos Analytics, SAS Enterprise Guide, SAS Visual Analytics, Informatica, and Oracle SQL queries
Advanced knowledge of MS Excel, MS Power Point, and MS Word
Understanding of Consumer or Commercial Lending with emphasis on auto finance loan and lease product offerings to borrowers a plus
Understanding of Fiserv LOS and LeaseMaster a plus
Skills
Advanced problem-solving and critical thinking skills that allow for the use of unconventional solutions when necessary
Advanced analytical and technical skills with demonstrated high attention to detail
Ability to effectively analyze and gather requirements from all levels of management
Extremely proactive and naturally inquisitive, with a strong bias for action
Ability to use appropriate and reasonable analysis, judgment, logic and communications methods when solving problems, making decisions, and communicating results
Ability to design and implement data solutions with minimal supervision
Ability to successfully prioritize and manage multiple assignments simultaneously
Interpersonal skills necessary to develop and maintain productive relationships
Ability to effectively communicate with team members of various technical and business backgrounds
Ability to listen to and communicate effectively with others, both verbally and in writing
Must demonstrate uncompromised integrity, while successfully managing work demands, day-to-day pressures and meeting established deadlines
Education
Bachelor’s Degree in Business or computer related field preferred
Experience
3-5 years of experience in a reporting, BI, or ETL role preferred
Working Conditions
High energy and fast paced office environment subject to stressful conditions and required deadlines
Work schedule may include some nights or weekends as needed
This position serves as the Application Developer and Program Manager for MIEMSS reporting to the Director of Data Services. This is a hands-on position providing experience and expertise in the design, programming, deployment, maintenance and management of mission critical systems. Programming efforts encompass designing, developing, testing, implementing and maintaining applications and programs using generally accepted computer programming languages or other developmental tools, developing and managing databases, and designing custom reports.
This position is responsible for all aspects of project implementation regarding initiation, planning, execution, monitoring and controlling, and closing project phases.
Responsibilities Include:
Developing and managing custom applications meeting agency mission specific needs;
Understanding commercial off the self (COTS) applications and custom applications developed by third parties to develop custom reports or applications to access the data for end-users
Developing/maintaining linkages between numerous databases housed in the agency's data center
Working closely with agency leadership and EMS Operating Program leaders to understand data needs
Applying project management best practices to application/system development and implementation projects
Determining the operational and financial feasibility of developing systems and business processes
This position may be responsible to lead ad hoc teams on specific projects and for directing the work of contractors and consultants.
Minimum Qualifications:
Education: Bachelor's degree from an accredited college or university in Information Technology, Computer Science, Management Information Systems, or other Information Technology related field.
Experience: Two years of experience designing, developing, testing, implementing and maintaining applications systems and programs using generally accepted computer programming languages or other developmental tools
Notes:
Candidates may substitute six credit hours of coursework in application analysis and programming using generally accepted computer programming languages or other developmental tools for six months of the required experience.
Candidates may substitute U.S. Armed Forces military service experience as a commissioned officer in Computer Systems Programming classifications or Computer Systems Programming specialty codes in the Information Technology field of work on a year-for-year basis for the required experience and education.
Selective Qualifications:
1 year Microsoft SQL Server Experience
1 year Microsoft SQL Server Integration Services (SSIS) Experience
Preferred Qualifications:
C++/C# Experience
Microsoft SQL Server Reporting Services (SSRS) Experience
One year of statistical analysis experience
Data warehouse experience
Microsoft Certified System Admin (MCSA)
May 01, 2019
Full-time
This position serves as the Application Developer and Program Manager for MIEMSS reporting to the Director of Data Services. This is a hands-on position providing experience and expertise in the design, programming, deployment, maintenance and management of mission critical systems. Programming efforts encompass designing, developing, testing, implementing and maintaining applications and programs using generally accepted computer programming languages or other developmental tools, developing and managing databases, and designing custom reports.
This position is responsible for all aspects of project implementation regarding initiation, planning, execution, monitoring and controlling, and closing project phases.
Responsibilities Include:
Developing and managing custom applications meeting agency mission specific needs;
Understanding commercial off the self (COTS) applications and custom applications developed by third parties to develop custom reports or applications to access the data for end-users
Developing/maintaining linkages between numerous databases housed in the agency's data center
Working closely with agency leadership and EMS Operating Program leaders to understand data needs
Applying project management best practices to application/system development and implementation projects
Determining the operational and financial feasibility of developing systems and business processes
This position may be responsible to lead ad hoc teams on specific projects and for directing the work of contractors and consultants.
Minimum Qualifications:
Education: Bachelor's degree from an accredited college or university in Information Technology, Computer Science, Management Information Systems, or other Information Technology related field.
Experience: Two years of experience designing, developing, testing, implementing and maintaining applications systems and programs using generally accepted computer programming languages or other developmental tools
Notes:
Candidates may substitute six credit hours of coursework in application analysis and programming using generally accepted computer programming languages or other developmental tools for six months of the required experience.
Candidates may substitute U.S. Armed Forces military service experience as a commissioned officer in Computer Systems Programming classifications or Computer Systems Programming specialty codes in the Information Technology field of work on a year-for-year basis for the required experience and education.
Selective Qualifications:
1 year Microsoft SQL Server Experience
1 year Microsoft SQL Server Integration Services (SSIS) Experience
Preferred Qualifications:
C++/C# Experience
Microsoft SQL Server Reporting Services (SSRS) Experience
One year of statistical analysis experience
Data warehouse experience
Microsoft Certified System Admin (MCSA)
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
May 18, 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
We are seeking a detail-oriented, data operations analyst who will focus on improving the quality and reliability of our data as part of the Data Governance and Instrumentation team. Collaborating heavily with our data and product engineering teams, this role relies on previous hands-on experience with data modeling, testing and optimizing new data sources, data lineage, and other processes to address data quality.
This role directly contributes to the success of our data strategy by enabling internal clients to access, explore and monitor data, as well as perform analysis and share insights.
At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to our operations and growth.
Responsibilities:
Help improve the quality and reliability of the data we surface in our business intelligence, marketing, and other internal systems
Develop a deep understanding of the different data sources we support and their respective pipelines
Build queries, tools, and processes that identify potential data quality issues
Partner with colleagues facilitating the design, build and automation of reports / dashboards that provide insight into business and product performance
Drive processes supporting engineering and product teams to reconcile data quality issues and develop and execute on mitigation plans
Work closely with data engineering to understand the pipelines by which data is collected, stored, and transformed for fast, easy consumption
Identify ways to more efficiently detect and correct potential data quality concerns
Work within the data governance team to document data processes and pipelines
Assist in scoping and implementing data solutions, including both third-party governance tools and BI solutions
Basic Qualifications:
2+ years of analytical experience working in a fast-paced environment.
2+ years of work experience using SQL and Python/R or other statistical programming language.
Familiarity with data exploration and data visualization tools like Tableau, Looker, Sisense, etc.
Experience with complex ETL processes, data warehousing, (e.g. Redshift, Snowflake) and data governance tools
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication and presentation skills – written, visual, and verbal presentations
Degree in an analytical field.
May 05, 2019
Full-time
We are seeking a detail-oriented, data operations analyst who will focus on improving the quality and reliability of our data as part of the Data Governance and Instrumentation team. Collaborating heavily with our data and product engineering teams, this role relies on previous hands-on experience with data modeling, testing and optimizing new data sources, data lineage, and other processes to address data quality.
This role directly contributes to the success of our data strategy by enabling internal clients to access, explore and monitor data, as well as perform analysis and share insights.
At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to our operations and growth.
Responsibilities:
Help improve the quality and reliability of the data we surface in our business intelligence, marketing, and other internal systems
Develop a deep understanding of the different data sources we support and their respective pipelines
Build queries, tools, and processes that identify potential data quality issues
Partner with colleagues facilitating the design, build and automation of reports / dashboards that provide insight into business and product performance
Drive processes supporting engineering and product teams to reconcile data quality issues and develop and execute on mitigation plans
Work closely with data engineering to understand the pipelines by which data is collected, stored, and transformed for fast, easy consumption
Identify ways to more efficiently detect and correct potential data quality concerns
Work within the data governance team to document data processes and pipelines
Assist in scoping and implementing data solutions, including both third-party governance tools and BI solutions
Basic Qualifications:
2+ years of analytical experience working in a fast-paced environment.
2+ years of work experience using SQL and Python/R or other statistical programming language.
Familiarity with data exploration and data visualization tools like Tableau, Looker, Sisense, etc.
Experience with complex ETL processes, data warehousing, (e.g. Redshift, Snowflake) and data governance tools
Understanding of statistics concepts (e.g., hypothesis testing, regression analysis).
Ability to think strategically, analyze and interpret market and consumer information.
Strong communication and presentation skills – written, visual, and verbal presentations
Degree in an analytical field.
Who You Are
Being a data analyst at Magento Business Intelligence is all about problem solving. If you are often driven to ask more of data, this is the perfect role for you. Interest in eCommerce and online technology is a given.
What You'll Do
Your top priority will be working with internal data sets to deliver valuable insights. You will use your academic and work experience to quickly learn the ins and outs of our software so you can help our customers understand their data and create actionable analyses that can productized. Ultimately, you are charged with making our clients love us by making their analytics accessible and understandable.
Examples of your specific responsibilities may include:
Analyzing and extracting insights from large, unstructured datasets
Helping users (internal & external) understand and analyze their data effectively
Managing client data warehouses to support analysis
Validating data replication and diagnosing data discrepancies
Evangelizing analysis best-practices
Improving internal processes to maximize efficiency
Creating reusable reports and dashboards that will get bundled with the product
What You Will Need
This is a demanding position where only highly-motivated, self-driven candidates will excel. Qualified candidates should have 1-2 years of relevant professional experience. All applicants must possess the following qualities:
Bachelor Degree
Proficiency with a database language (e.g. PostgreSQL, MongoDB)
Aptitude for problem solving
Strong quantitative analysis skills
Excellent written and spoken communication skills
Good presentation skills
Track record of learning new skills and putting them to use immediately
Hunger for continued learning
Sense of ownership and pride in your performance and that of the company
Things That Will Impress Us
Experience with eCommerce, Magento Commerce, and/or Magento BI
Knowledge of Google Analytics
Experience with data analysis
Customer-facing experience
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
May 02, 2019
Full-time
Who You Are
Being a data analyst at Magento Business Intelligence is all about problem solving. If you are often driven to ask more of data, this is the perfect role for you. Interest in eCommerce and online technology is a given.
What You'll Do
Your top priority will be working with internal data sets to deliver valuable insights. You will use your academic and work experience to quickly learn the ins and outs of our software so you can help our customers understand their data and create actionable analyses that can productized. Ultimately, you are charged with making our clients love us by making their analytics accessible and understandable.
Examples of your specific responsibilities may include:
Analyzing and extracting insights from large, unstructured datasets
Helping users (internal & external) understand and analyze their data effectively
Managing client data warehouses to support analysis
Validating data replication and diagnosing data discrepancies
Evangelizing analysis best-practices
Improving internal processes to maximize efficiency
Creating reusable reports and dashboards that will get bundled with the product
What You Will Need
This is a demanding position where only highly-motivated, self-driven candidates will excel. Qualified candidates should have 1-2 years of relevant professional experience. All applicants must possess the following qualities:
Bachelor Degree
Proficiency with a database language (e.g. PostgreSQL, MongoDB)
Aptitude for problem solving
Strong quantitative analysis skills
Excellent written and spoken communication skills
Good presentation skills
Track record of learning new skills and putting them to use immediately
Hunger for continued learning
Sense of ownership and pride in your performance and that of the company
Things That Will Impress Us
Experience with eCommerce, Magento Commerce, and/or Magento BI
Knowledge of Google Analytics
Experience with data analysis
Customer-facing experience
At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.
If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.
Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.
Overview
Intuit's Small Business & Self Employed Customer Success organization is seeking an experienced and highly motivated Sr. Manager of Forecasting and Analysis to join the Business Planning & Analysis team within the Customer Success organization.
An ideal candidate will have both deep technical/analytical expertise and analytical/forecasting leadership experience. This role uses extensive business domain knowledge in combination with expertise in data and analytics to quantify and prioritize business opportunities, lead large analytical projects, drive critical customer contact forecasting processes, and explain the business impact of the associated actions.
Additionally, this leader will need to be skilled at development of a highly talented team, prioritization of work, and creating high employee engagement. For this person to be successful, we are not only looking for a person deep experience and subject matter expertise, but also someone that is highly collaborative, innovative and versatile with the ability to effectively building strong partnerships both internally within the team and externally within the larger organization.
Responsibilities
Lead a team of senior analysts that do complex analytical initiatives, develops tracking, combines data from multiple sources to extract meaning, reconciles assumptions, and identifies logical paths for action
Set analytics objectives and exercise a wide latitude of discretionary judgment in exploring advances in data-driven business growth, and their application to business strategy; develop methodologies to measure the impact of business initiatives
Lead the forecasting business cycle to provide timely, accurate and actionable 18-month rolling multi-channel contact forecasts and staffing plans for multiple products and services, groups and/or locations, including offerings across North America, EMEA, and APAC
Lead statistical modeling to project the potential impacts of product and service offering changes, customer workflow and process changes, and customer routing changes, including financial implications; project intra-quarter operational performance including financial projections
Partner with cross-functional teams including Customer Success, Product, Marketing, Engineering, Finance, and Data Product and Analytics to translate complex business requirements into a roadmap to deliver customer and business outcomes and financial objectives; provide recommendations on improvement plans
Understand the current ecosystems, historical customer behaviors, and long-term trends in order to identify ways to drive personalization for customers and business growth
Provide insights to key stakeholders and senior leaders on impact of strategic initiatives on the key metrics and suggest appropriate analysis, ideas and data points to help drive business decisions.
Partner with leadership to prioritize areas of opportunity to drive growth and improved customer retention while optimizing customer experiences
Identify future competencies of business data analysts and help to develop organizational capability within own team and across peers; grows and develops a highly talented, high performing team
Qualifications
Bachelor degree in Finance, Economics, Management Information Systems, Statistics, or a related quantitative field; Masters preferred.
10+ years of experience in identifying insights-based business opportunities, leading or partnering on initiative design, overseeing initiative execution and tracking business outcome; experience in forecasting preferred.
5+ years of experience in directly leading analytics or forecasting teams with a proficiency in developing subject matter experts both professionally and interpersonally.
Ability to lead and drive change in a matrix organization, with proven experience driving results through influence to achieve cross-functional team alignment.
Experience in building planning processes and driving cross functional collaboration; experience with Anaplan or other advance planning tools
Experience in leveraging relational databases and data warehouses such as MySQL,; Altryz and userbase level data manipulation tools; AWS experience a plus.
Some knowledge of programming languages and stats packages (e.g. python, R, SAS, JMP); understanding of forecasting techniques; experience with BI/visualization packages such as Tableau, Business Objects, QlikView.
Domain expertise in subjects such as experimental design, Multivariate/A-B testing is a plus.
Experience mentoring and guiding others both within your team and across the organization. Passionate about the advancement of whole team with a “win together” attitude.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
May 02, 2019
Full-time
Overview
Intuit's Small Business & Self Employed Customer Success organization is seeking an experienced and highly motivated Sr. Manager of Forecasting and Analysis to join the Business Planning & Analysis team within the Customer Success organization.
An ideal candidate will have both deep technical/analytical expertise and analytical/forecasting leadership experience. This role uses extensive business domain knowledge in combination with expertise in data and analytics to quantify and prioritize business opportunities, lead large analytical projects, drive critical customer contact forecasting processes, and explain the business impact of the associated actions.
Additionally, this leader will need to be skilled at development of a highly talented team, prioritization of work, and creating high employee engagement. For this person to be successful, we are not only looking for a person deep experience and subject matter expertise, but also someone that is highly collaborative, innovative and versatile with the ability to effectively building strong partnerships both internally within the team and externally within the larger organization.
Responsibilities
Lead a team of senior analysts that do complex analytical initiatives, develops tracking, combines data from multiple sources to extract meaning, reconciles assumptions, and identifies logical paths for action
Set analytics objectives and exercise a wide latitude of discretionary judgment in exploring advances in data-driven business growth, and their application to business strategy; develop methodologies to measure the impact of business initiatives
Lead the forecasting business cycle to provide timely, accurate and actionable 18-month rolling multi-channel contact forecasts and staffing plans for multiple products and services, groups and/or locations, including offerings across North America, EMEA, and APAC
Lead statistical modeling to project the potential impacts of product and service offering changes, customer workflow and process changes, and customer routing changes, including financial implications; project intra-quarter operational performance including financial projections
Partner with cross-functional teams including Customer Success, Product, Marketing, Engineering, Finance, and Data Product and Analytics to translate complex business requirements into a roadmap to deliver customer and business outcomes and financial objectives; provide recommendations on improvement plans
Understand the current ecosystems, historical customer behaviors, and long-term trends in order to identify ways to drive personalization for customers and business growth
Provide insights to key stakeholders and senior leaders on impact of strategic initiatives on the key metrics and suggest appropriate analysis, ideas and data points to help drive business decisions.
Partner with leadership to prioritize areas of opportunity to drive growth and improved customer retention while optimizing customer experiences
Identify future competencies of business data analysts and help to develop organizational capability within own team and across peers; grows and develops a highly talented, high performing team
Qualifications
Bachelor degree in Finance, Economics, Management Information Systems, Statistics, or a related quantitative field; Masters preferred.
10+ years of experience in identifying insights-based business opportunities, leading or partnering on initiative design, overseeing initiative execution and tracking business outcome; experience in forecasting preferred.
5+ years of experience in directly leading analytics or forecasting teams with a proficiency in developing subject matter experts both professionally and interpersonally.
Ability to lead and drive change in a matrix organization, with proven experience driving results through influence to achieve cross-functional team alignment.
Experience in building planning processes and driving cross functional collaboration; experience with Anaplan or other advance planning tools
Experience in leveraging relational databases and data warehouses such as MySQL,; Altryz and userbase level data manipulation tools; AWS experience a plus.
Some knowledge of programming languages and stats packages (e.g. python, R, SAS, JMP); understanding of forecasting techniques; experience with BI/visualization packages such as Tableau, Business Objects, QlikView.
Domain expertise in subjects such as experimental design, Multivariate/A-B testing is a plus.
Experience mentoring and guiding others both within your team and across the organization. Passionate about the advancement of whole team with a “win together” attitude.
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
We are looking for an exceptional Technical Program Manager who will support the Data organization at Slack. The Data organization is a highly-cross functional, matrixed team that spans Slack where you will primarily be responsible for facilitating execution and alignment across that organization, and driving large-scale initiatives that span this ecosystem.
You are able to fluidly move between business and technical contexts. You understand the business and its priorities and are able to effectively drive strategic cross-functional initiatives that deliver results. You understand technical implementation at a level that enables you to ask questions that clarify priorities and dependencies.
You break through communication issues and effectively develop relationships with stakeholders at all levels of the organization, and all facets of the business. You are comfortable communicating in both a technical and business setting, bridging conversations between Engineering, Analytics and business functional teams.
Do you use your critical thinking skills to drive successful organizational long-term plans while working on multiple, highly-detailed projects? Do you relish the opportunity to attack big, ambiguous problems? Do you develop methods to help the team get their work done effectively and drive the business to think critically about how to plan and prioritize the work? If this sounds interesting, come work at Slack! We're nice. :)
Your Responsibilities:
Interface with Technical and Business owners to define strategies, policies and initiatives; then bring them to life by driving in partnership with those stakeholders.
Manage cross-functional data-centric programs in a matrix organization covering a range of areas, bridging between Engineering, Analytics and Business functional teams.
Develop project plans, resource plans, with accuracy and in collaboration with technical resources
Provide hands-on program and project management during discovery, design, development, testing, implementation, and post-implementation phases
Provide day-to-day coordination and quality assurance for projects and tasks, deliver projects on time against the agreed-upon critical metrics
Drive internal and external process improvements across multiple teams and functions.
Requirements:
At least 4-6 years experience in an organization running resources, tasks, and workflows in a technical program management, systems engineering and/or project/program management role.
At least 2-3 years experience in a program management position partnering with business functions (i.e., Sales, Marketing, Finance, Legal, etc.), driving key initiatives cross-functionally
Strong Interpersonal skills, relationship building and experience working in a collaborative environment with diverse cross-functional teams - specifically, bridging technical and business partners.
Organizational and coordination skills along with multitasking capabilities to get things done in a fast-paced environment
BA/BS etc. are required; MBA a plus.
Experience in a fast-growing environment.
Detailed oriented, and self-motivated, with strong analytical skills
Bonus Points:
Experience working with Data and Analytics teams, including Data Warehousing teams a plus
You are an active Slack user
Strong emoji game
You have a get $%&* done attitude and you want to make an impact!
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Come do the best work of your life here at Slack.
May 01, 2019
Full-time
We are looking for an exceptional Technical Program Manager who will support the Data organization at Slack. The Data organization is a highly-cross functional, matrixed team that spans Slack where you will primarily be responsible for facilitating execution and alignment across that organization, and driving large-scale initiatives that span this ecosystem.
You are able to fluidly move between business and technical contexts. You understand the business and its priorities and are able to effectively drive strategic cross-functional initiatives that deliver results. You understand technical implementation at a level that enables you to ask questions that clarify priorities and dependencies.
You break through communication issues and effectively develop relationships with stakeholders at all levels of the organization, and all facets of the business. You are comfortable communicating in both a technical and business setting, bridging conversations between Engineering, Analytics and business functional teams.
Do you use your critical thinking skills to drive successful organizational long-term plans while working on multiple, highly-detailed projects? Do you relish the opportunity to attack big, ambiguous problems? Do you develop methods to help the team get their work done effectively and drive the business to think critically about how to plan and prioritize the work? If this sounds interesting, come work at Slack! We're nice. :)
Your Responsibilities:
Interface with Technical and Business owners to define strategies, policies and initiatives; then bring them to life by driving in partnership with those stakeholders.
Manage cross-functional data-centric programs in a matrix organization covering a range of areas, bridging between Engineering, Analytics and Business functional teams.
Develop project plans, resource plans, with accuracy and in collaboration with technical resources
Provide hands-on program and project management during discovery, design, development, testing, implementation, and post-implementation phases
Provide day-to-day coordination and quality assurance for projects and tasks, deliver projects on time against the agreed-upon critical metrics
Drive internal and external process improvements across multiple teams and functions.
Requirements:
At least 4-6 years experience in an organization running resources, tasks, and workflows in a technical program management, systems engineering and/or project/program management role.
At least 2-3 years experience in a program management position partnering with business functions (i.e., Sales, Marketing, Finance, Legal, etc.), driving key initiatives cross-functionally
Strong Interpersonal skills, relationship building and experience working in a collaborative environment with diverse cross-functional teams - specifically, bridging technical and business partners.
Organizational and coordination skills along with multitasking capabilities to get things done in a fast-paced environment
BA/BS etc. are required; MBA a plus.
Experience in a fast-growing environment.
Detailed oriented, and self-motivated, with strong analytical skills
Bonus Points:
Experience working with Data and Analytics teams, including Data Warehousing teams a plus
You are an active Slack user
Strong emoji game
You have a get $%&* done attitude and you want to make an impact!
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Come do the best work of your life here at Slack.
As a Sr. Data Engineer, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. You will be working in our IT Data and Analytics function and have an opportunity to build out this team from scratch with an eye of developing a sound data foundation and processes that will scale with the company’s growth. You will design, implement data pipelines enabling insights from our Product and Corporate Systems for key partners and decision makers at Slack. You would also be responsible for enhancing and maintaining our data warehouse and build modeling in the BI platform.
You will do this by partnering with various multi-functional teams like Sales, Finance, Marketing, and fellow IT teams. You will implement a front-end platform while working with the back-end storage systems for reporting and analysis. You will also build and maintain the data ingestion pipeline to keep the metrics flowing into this platform.
This is a fun role for problem solvers, who can intuitively anticipate problems and can also look beyond immediate issues. It is for people who take initiative to improve both our software and our development infrastructure. In short, we look for people who take pride in the craft and want to be part of creating and defining the teams operating model and contribution to the company. They will be a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack. If this role has your name written all over it, please contact us with a resume so that we explore further.
Responsibilities
Translate business requirements into data models that are easy to understand and used by different disciplines across the company. Design, implement and build pipelines that deliver data with measurable quality under the SLA
Partner with business domain experts, data analysts and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service
Be a champion of the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements
Own and document foundational company metrics with a clear definition and data lineage
Identify, document and promote best practices
Requirements
BS degree in Computer Science or Engineering discipline.
5+ years work experience showing growth as a Data Engineer.
Very strong experience in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in the OLTP, OLAP and Data Warehouse environments
Deep understanding of relational as well as NoSQL data stores, methods and approaches (logging, columnar, star and snowflake, dimensional modeling)
Proficiency with object-oriented and/or functional programming languages is a big plus (e.g. Java, Scala, Python, Go)
Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment.
Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc.
Capable of planning and executing on both short-term and long-term goals individually and with the team.
Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc.
Hands-on experience with Big Data technologies (e.g Hadoop, Hive, Spark)
Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners
Excellent understanding of trade-offs
Demonstrated ability to navigate between big-picture and implementation details
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
Come do the best work of your life here at Slack.
May 01, 2019
Full-time
As a Sr. Data Engineer, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. You will be working in our IT Data and Analytics function and have an opportunity to build out this team from scratch with an eye of developing a sound data foundation and processes that will scale with the company’s growth. You will design, implement data pipelines enabling insights from our Product and Corporate Systems for key partners and decision makers at Slack. You would also be responsible for enhancing and maintaining our data warehouse and build modeling in the BI platform.
You will do this by partnering with various multi-functional teams like Sales, Finance, Marketing, and fellow IT teams. You will implement a front-end platform while working with the back-end storage systems for reporting and analysis. You will also build and maintain the data ingestion pipeline to keep the metrics flowing into this platform.
This is a fun role for problem solvers, who can intuitively anticipate problems and can also look beyond immediate issues. It is for people who take initiative to improve both our software and our development infrastructure. In short, we look for people who take pride in the craft and want to be part of creating and defining the teams operating model and contribution to the company. They will be a self-starter, detail and quality oriented, and passionate about having a huge impact at Slack. If this role has your name written all over it, please contact us with a resume so that we explore further.
Responsibilities
Translate business requirements into data models that are easy to understand and used by different disciplines across the company. Design, implement and build pipelines that deliver data with measurable quality under the SLA
Partner with business domain experts, data analysts and engineering teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service
Be a champion of the overall strategy for data governance, security, privacy, quality and retention that will satisfy business policies and requirements
Own and document foundational company metrics with a clear definition and data lineage
Identify, document and promote best practices
Requirements
BS degree in Computer Science or Engineering discipline.
5+ years work experience showing growth as a Data Engineer.
Very strong experience in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in the OLTP, OLAP and Data Warehouse environments
Deep understanding of relational as well as NoSQL data stores, methods and approaches (logging, columnar, star and snowflake, dimensional modeling)
Proficiency with object-oriented and/or functional programming languages is a big plus (e.g. Java, Scala, Python, Go)
Problem solver with excellent interpersonal skills with ability to make sound complex decisions in a fast-paced, technical environment.
Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc.
Capable of planning and executing on both short-term and long-term goals individually and with the team.
Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc.
Hands-on experience with Big Data technologies (e.g Hadoop, Hive, Spark)
Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners
Excellent understanding of trade-offs
Demonstrated ability to navigate between big-picture and implementation details
Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.
Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have nine offices worldwide, in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto and Denver.
Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work.
Come do the best work of your life here at Slack.
