Overview
Comunidad Realty Partners, a multifamily real estate investment company based in San Diego, CA is in search of a Senior Data Scientist that will be responsible for collecting, structuring and transforming data that can be utilized to empirically develop actionable insights supporting real estate investment decision-making and strategy development. The role will require a keen understanding of current and evolving data technologies, experience preferred with programming languages (R, Python, SQL), business fundamentals and key quantitative disciplines, including statistical analysis and machine learning.
Benefits
Competitive Salary + Bonus
Medical, Dental, and Vision Insurance
Life Insurance
401k with Employer Match
On-site Gym
Downtown location near diverse mix of restaurants, amenities, etc.
Parking and Cell Phone Stipend
Employee Self-Service Portal with Specialized Perks
Volunteer / Philanthropic Opportunities
Responsibilities
Collaborate with fund and portfolio managers, acquisition officers, asset managers, and underwriters to help incorporate gleaned data insights into investment strategy.
Collaborate with business stakeholders on visualizations and various reporting tools that can help satisfy analytical needs, convey a story, and provide simple solutions to complex problems.
Define and scope related project tasks, goals and deliverables with proper timelines and schedule.
Provide proactive leadership and technical guidance to identify system deficiencies, evaluate problems and propose solutions to test and implement corrective action within systems.
Collect, validate, and analyze data. Prepare reports, and visualizations such as graphs, charts and dashboards to create data stories that can enable actionable insights.
Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets.
Develop and deploy testing hypotheses and analyze test results for effective feedback loop iteration, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights
Help define metrics/KPIs for enhanced workflows and build automated solutions that interconnect the data, applications, and people
Build process maps through IBM Blueworks and connect the dots between data, applications, and people. Analyzes business processes to plan, design, monitor, and troubleshoot solutions while providing training and necessary user support to assist with the understanding of business processes being executed in the systems. Establishes structures and processes to plan and manage the orderly implementation of change.
Drive operational efficiency by maintaining centralized data ecosystems, providing analytics and offering continuous insights and improvements. Research and recommend alternatives for solutions to business problems with minimal direction.
Build analytical data lake, warehouses, and marts and build/maintain the underlying data platforms and ETL processes
Develop SQL Databases, write SQL Queries, DAX, ySQL (Yardi), and YSR (Yardi).
Assist with administering the company SharePoint environment.
Support a series of data governance activities for the enterprise.
Create ad-hoc or routine queries and reports. Understand business reporting requirements, and assist with the design and development requirements for reports.
Performs other duties as reasonably requested.
Qualitative Skills
Able to translate strategic business requirements into specific detailed technical requirements and tasks.
Can solve problems/balance constraints/communicate clearly and effectively. Demonstrated aptitude for logical thinking and the ability to see the larger, strategic picture.
Capable of multitasking and dealing with a variety of constituencies and conflicting/competing demands.
Able to project manage, prioritize activities, and diligently adhere to project deadlines
Strong communication / organization skills, research capabilities, and experience working with cross-functional teams.
Curious learner who loves a challenge and stays on top of current and emerging industry trends to add value to the operation.
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Fanatical attention to detail and is process-oriented, methodical, and systematic.
Experience in an investment management or real estate organization is strongly preferred.
Quantitative Skills
Must have significant experience within the Microsoft technology stack (ie O365, Azure, PowerBI / PowerApps / Flow, Sharepoint, etc) sufficient to understand physical design and performance to be able to participate actively in data platform design/implementation efforts
Must have knowledge of industry best practices in information/data management techniques and platforms (Data Warehousing Design, ETL Process, Data Modeling).
Experience in IT controls and data governance practices desired.
Familiarity with Enterprise Resource Planning (ERP) systems and ERP based report writing tools, experience with Yardi a plus.
One (1) to Three (3) years of business application experience or Information Technology and familiarity with current business analysis principles and practices; or any equivalent combination of acceptable training and experience.
Quantitative educational background with professional data analytics experience.
Advanced skills in visualization, with experience in various front-end frameworks, such as D3.js, matplotlib, and Power BI
Proficiency with a statistical analysis tool such as R and/or Python
Machine Learning experience strongly desired
Education
Required Education
Bachelor's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Analytics, Econometrics or related field.
Preferred Education
Master's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Science, Econometrics or related field
Jul 19, 2019
Full-time
Overview
Comunidad Realty Partners, a multifamily real estate investment company based in San Diego, CA is in search of a Senior Data Scientist that will be responsible for collecting, structuring and transforming data that can be utilized to empirically develop actionable insights supporting real estate investment decision-making and strategy development. The role will require a keen understanding of current and evolving data technologies, experience preferred with programming languages (R, Python, SQL), business fundamentals and key quantitative disciplines, including statistical analysis and machine learning.
Benefits
Competitive Salary + Bonus
Medical, Dental, and Vision Insurance
Life Insurance
401k with Employer Match
On-site Gym
Downtown location near diverse mix of restaurants, amenities, etc.
Parking and Cell Phone Stipend
Employee Self-Service Portal with Specialized Perks
Volunteer / Philanthropic Opportunities
Responsibilities
Collaborate with fund and portfolio managers, acquisition officers, asset managers, and underwriters to help incorporate gleaned data insights into investment strategy.
Collaborate with business stakeholders on visualizations and various reporting tools that can help satisfy analytical needs, convey a story, and provide simple solutions to complex problems.
Define and scope related project tasks, goals and deliverables with proper timelines and schedule.
Provide proactive leadership and technical guidance to identify system deficiencies, evaluate problems and propose solutions to test and implement corrective action within systems.
Collect, validate, and analyze data. Prepare reports, and visualizations such as graphs, charts and dashboards to create data stories that can enable actionable insights.
Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets.
Develop and deploy testing hypotheses and analyze test results for effective feedback loop iteration, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights
Help define metrics/KPIs for enhanced workflows and build automated solutions that interconnect the data, applications, and people
Build process maps through IBM Blueworks and connect the dots between data, applications, and people. Analyzes business processes to plan, design, monitor, and troubleshoot solutions while providing training and necessary user support to assist with the understanding of business processes being executed in the systems. Establishes structures and processes to plan and manage the orderly implementation of change.
Drive operational efficiency by maintaining centralized data ecosystems, providing analytics and offering continuous insights and improvements. Research and recommend alternatives for solutions to business problems with minimal direction.
Build analytical data lake, warehouses, and marts and build/maintain the underlying data platforms and ETL processes
Develop SQL Databases, write SQL Queries, DAX, ySQL (Yardi), and YSR (Yardi).
Assist with administering the company SharePoint environment.
Support a series of data governance activities for the enterprise.
Create ad-hoc or routine queries and reports. Understand business reporting requirements, and assist with the design and development requirements for reports.
Performs other duties as reasonably requested.
Qualitative Skills
Able to translate strategic business requirements into specific detailed technical requirements and tasks.
Can solve problems/balance constraints/communicate clearly and effectively. Demonstrated aptitude for logical thinking and the ability to see the larger, strategic picture.
Capable of multitasking and dealing with a variety of constituencies and conflicting/competing demands.
Able to project manage, prioritize activities, and diligently adhere to project deadlines
Strong communication / organization skills, research capabilities, and experience working with cross-functional teams.
Curious learner who loves a challenge and stays on top of current and emerging industry trends to add value to the operation.
Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations
Fanatical attention to detail and is process-oriented, methodical, and systematic.
Experience in an investment management or real estate organization is strongly preferred.
Quantitative Skills
Must have significant experience within the Microsoft technology stack (ie O365, Azure, PowerBI / PowerApps / Flow, Sharepoint, etc) sufficient to understand physical design and performance to be able to participate actively in data platform design/implementation efforts
Must have knowledge of industry best practices in information/data management techniques and platforms (Data Warehousing Design, ETL Process, Data Modeling).
Experience in IT controls and data governance practices desired.
Familiarity with Enterprise Resource Planning (ERP) systems and ERP based report writing tools, experience with Yardi a plus.
One (1) to Three (3) years of business application experience or Information Technology and familiarity with current business analysis principles and practices; or any equivalent combination of acceptable training and experience.
Quantitative educational background with professional data analytics experience.
Advanced skills in visualization, with experience in various front-end frameworks, such as D3.js, matplotlib, and Power BI
Proficiency with a statistical analysis tool such as R and/or Python
Machine Learning experience strongly desired
Education
Required Education
Bachelor's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Analytics, Econometrics or related field.
Preferred Education
Master's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Science, Econometrics or related field
Merchandise Revenue Management Analyst Internship, Spring 2020 - Orlando, FL The Revenue Management and Analytics (RM&A) team supports clients across Walt Disney Parks & Resorts including Ticketing, Resorts, Merchandise and Food & Beverage in the core competencies of yield management, revenue planning, forecasting, pricing, promotions and optimization. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results oriented, be able to prioritize and be a team player in a collaborative environment. Responsibilities :
A Day in the Life:
Leverage technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value at local and domestic theme park and resort businesses
Build complex financial models/analysis to identify trends, patterns and irregularities in key business metrics in order to drive pricing and other business decisions
Consolidate inputs from multiple areas and analyzing historical data to better understand Guest behavior, optimize pricing, and influence forecasts, plans and strategic growth initiatives
Develop automated analytical solutions to analyze pricing decisions and determine the elasticity of products
Design analytical tools and dashboards to guide team in making pricing decisions based on historical demand and forecasts
Basic Qualifications :
What You Bring to the Role:
Creative problem solving and analytical skills
Strong oral and written communication skills
Experience gathering, analyzing, and interpreting data and reporting on the results
Database knowledge and understanding of SQL
Strong proficiency in Microsoft Excel
Knowledge of statistical modeling and related concepts (e.g. regression, ANOVA)
Strong organizational skills and attention to detail
Strong sense of responsibility, ownership, and pride in delivering quality results for the Merchandise line of business
Preferred Qualifications:
Experience with Python, R, and/or VBA
Experience using machine learning algorithms
Familiarity with Tableau or similar data visualization tools
Previous experience in an analytical field, preferably in Merchandise
Required Education :
Junior or higher working towards (or recently graduated with) a degree in Statistics, Data Analytics, Economics, Mathematics, Industrial Engineering, Computer Science or other related quantitative field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Aug 20, 2019
Internship
Merchandise Revenue Management Analyst Internship, Spring 2020 - Orlando, FL The Revenue Management and Analytics (RM&A) team supports clients across Walt Disney Parks & Resorts including Ticketing, Resorts, Merchandise and Food & Beverage in the core competencies of yield management, revenue planning, forecasting, pricing, promotions and optimization. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results oriented, be able to prioritize and be a team player in a collaborative environment. Responsibilities :
A Day in the Life:
Leverage technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value at local and domestic theme park and resort businesses
Build complex financial models/analysis to identify trends, patterns and irregularities in key business metrics in order to drive pricing and other business decisions
Consolidate inputs from multiple areas and analyzing historical data to better understand Guest behavior, optimize pricing, and influence forecasts, plans and strategic growth initiatives
Develop automated analytical solutions to analyze pricing decisions and determine the elasticity of products
Design analytical tools and dashboards to guide team in making pricing decisions based on historical demand and forecasts
Basic Qualifications :
What You Bring to the Role:
Creative problem solving and analytical skills
Strong oral and written communication skills
Experience gathering, analyzing, and interpreting data and reporting on the results
Database knowledge and understanding of SQL
Strong proficiency in Microsoft Excel
Knowledge of statistical modeling and related concepts (e.g. regression, ANOVA)
Strong organizational skills and attention to detail
Strong sense of responsibility, ownership, and pride in delivering quality results for the Merchandise line of business
Preferred Qualifications:
Experience with Python, R, and/or VBA
Experience using machine learning algorithms
Familiarity with Tableau or similar data visualization tools
Previous experience in an analytical field, preferably in Merchandise
Required Education :
Junior or higher working towards (or recently graduated with) a degree in Statistics, Data Analytics, Economics, Mathematics, Industrial Engineering, Computer Science or other related quantitative field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Forecasting & Planning Internship (DLR), Spring 2020 – Anaheim, FL The Revenue Forecasting and Planning teams are responsible for financial and operational analysis supporting the strategic revenue objectives of Disney Parks, Experiences & Consumer Products (DPE&CP). Forecasting and Planning provides daily, weekly, and annual Operational and Financial forecasts and plans of attendance/admissions revenue, rooms/rooms revenue, Food & Beverage revenue, Merchandise revenue, and other driver-related revenue for the Disneyland Resort. The team also helps support pricing decisions on Tickets, Resorts, Food & Beverage, and Merchandise to grow long-term profitability. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results oriented, be able to prioritize and be a team player in a collaborative environment. Responsibilities :
A Day in the Life...
Consolidating inputs from multiple areas and analyzing historical data to better understand Guest behavior, optimize pricing, and influence forecasts, plans and strategic growth initiatives
Building complex financial models/analysis to identify trends, patterns and irregularities in key business metrics in order to drive business decisions and influence forecasts, plans and strategic growth initiatives, and better understand Guest behavior
Utilizing analytical tools and models to optimize business processes
Preparing financial metrics for weekly and monthly reporting
Basic Qualifications :
Demonstrated proficiency in Microsoft Excel and SQL
Experience collecting & analyzing data and reporting on the results
Experience with data visualization tools (e.g., Tableau, etc.)
Familiarly with one or more analytical tools (e.g., R, python, SAS, etc.)
Strong organizational skills and attention to detail
Strong oral/written communication and interpersonal skills
Creative problem solving skills
Strong sense of responsibility, independence, ownership and pride in delivering quality results, and understanding the business impacts
Preferred Qualifications:
Demonstrated experience with financial reporting
Previous experience in an analytical field, preferably in Merchandise Retail, Hotel/Resorts, Food & Beverage or Travel & Tourism
Knowledge of statistical modeling and related concepts (e.g., regression, ANOVA, ML, etc.)
Required Education :
Junior or higher working towards (or recently graduated with) a degree in Economics, Finance, Statistics, Mathematics, Computer Science, Industrial Engineering, Marketing or other related quantitative field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Anaheim, CA based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Aug 20, 2019
Internship
Forecasting & Planning Internship (DLR), Spring 2020 – Anaheim, FL The Revenue Forecasting and Planning teams are responsible for financial and operational analysis supporting the strategic revenue objectives of Disney Parks, Experiences & Consumer Products (DPE&CP). Forecasting and Planning provides daily, weekly, and annual Operational and Financial forecasts and plans of attendance/admissions revenue, rooms/rooms revenue, Food & Beverage revenue, Merchandise revenue, and other driver-related revenue for the Disneyland Resort. The team also helps support pricing decisions on Tickets, Resorts, Food & Beverage, and Merchandise to grow long-term profitability. Candidates should have a natural curiosity to understand the "why" behind business performance, take a proactive role in problem-solving, be results oriented, be able to prioritize and be a team player in a collaborative environment. Responsibilities :
A Day in the Life...
Consolidating inputs from multiple areas and analyzing historical data to better understand Guest behavior, optimize pricing, and influence forecasts, plans and strategic growth initiatives
Building complex financial models/analysis to identify trends, patterns and irregularities in key business metrics in order to drive business decisions and influence forecasts, plans and strategic growth initiatives, and better understand Guest behavior
Utilizing analytical tools and models to optimize business processes
Preparing financial metrics for weekly and monthly reporting
Basic Qualifications :
Demonstrated proficiency in Microsoft Excel and SQL
Experience collecting & analyzing data and reporting on the results
Experience with data visualization tools (e.g., Tableau, etc.)
Familiarly with one or more analytical tools (e.g., R, python, SAS, etc.)
Strong organizational skills and attention to detail
Strong oral/written communication and interpersonal skills
Creative problem solving skills
Strong sense of responsibility, independence, ownership and pride in delivering quality results, and understanding the business impacts
Preferred Qualifications:
Demonstrated experience with financial reporting
Previous experience in an analytical field, preferably in Merchandise Retail, Hotel/Resorts, Food & Beverage or Travel & Tourism
Knowledge of statistical modeling and related concepts (e.g., regression, ANOVA, ML, etc.)
Required Education :
Junior or higher working towards (or recently graduated with) a degree in Economics, Finance, Statistics, Mathematics, Computer Science, Industrial Engineering, Marketing or other related quantitative field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Anaheim, CA based participants. Interns are able to sign up for housing once they have accepted an internship offer.
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
The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders.
We Are:
The Decision Science team creates innovative scientific models and data-driven decision support tools that are used by business units across The Walt Disney Company to make better business decisions. From establishing appropriate science methodologies to implementing continuous innovation, the Decision Science team is instrumental in determining the success of our entire global enterprise.
Responsibilities :
Make an impact by building operations research and statistical models for various revenue management and pricing systems. The interns help in this process by:
Modeling and analyzing revenue management, pricing, marketing, and other business analytics applications using various mathematical, statistical, and simulation techniques
Supporting the analysis and validation of forecasting and optimization models
Performing data collection, data cleaning, data validation, and reporting tasks for various business analytics systems and applications
Basic Qualifications :
What You Bring to the Role:
Strategic problem solving & analytical skills
Experience with statistical modeling software (e.g. R, Python, SAS) or experience with mathematical programming software (e.g. CPLEX, Gurobi, Xpress, Google OR, COIN-OR, SAS/OR)
Proficient in at least one of the following programming languages: R, Python, SAS, Java, Julia, C++, Matlab
Strong organizational and time management skills with attention to detail
Aptitude and willingness to learn new science, software applications, and tools
Experience gathering, analyzing, and interpreting data and reporting on the results
Proficiency with Excel, Word and PowerPoint
Preferred Qualifications:
Familiarity with SQL or Tableau
Experience using machine learning algorithms
Proficiency with statistical methods such as linear regression, generalized linear models, and hierarchical/mixed models
A working knowledge of deterministic optimization (e.g., linear programming, integer programming, mixed integer programming), or other optimization (nonlinear programming, dynamic programming, etc.)
Experience and expertise of using mathematical programming software and/or developing algorithms for large scale optimization problems
Proficiency with forecasting methodologies
Proficiency with Bayesian statistics
Proficiency with discrete event simulation
Prior research or industrial experience in revenue management, pricing, and/or supply chain applications
Proficiency with neural networks and/or deep learning
Proficiency with text mining methods, such as natural language processing, sentiment analysis, and topic modeling
Required Education :
Graduate Level student or recently graduated from a Graduate program (within 6 months of graduating) pursuing a Master's Degree or PhD in Statistics, Operations Research, Industrial Engineering, Math, Economics, or related field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available, full-time, 40 hours per week, from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Aug 13, 2019
Full-time
The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders.
We Are:
The Decision Science team creates innovative scientific models and data-driven decision support tools that are used by business units across The Walt Disney Company to make better business decisions. From establishing appropriate science methodologies to implementing continuous innovation, the Decision Science team is instrumental in determining the success of our entire global enterprise.
Responsibilities :
Make an impact by building operations research and statistical models for various revenue management and pricing systems. The interns help in this process by:
Modeling and analyzing revenue management, pricing, marketing, and other business analytics applications using various mathematical, statistical, and simulation techniques
Supporting the analysis and validation of forecasting and optimization models
Performing data collection, data cleaning, data validation, and reporting tasks for various business analytics systems and applications
Basic Qualifications :
What You Bring to the Role:
Strategic problem solving & analytical skills
Experience with statistical modeling software (e.g. R, Python, SAS) or experience with mathematical programming software (e.g. CPLEX, Gurobi, Xpress, Google OR, COIN-OR, SAS/OR)
Proficient in at least one of the following programming languages: R, Python, SAS, Java, Julia, C++, Matlab
Strong organizational and time management skills with attention to detail
Aptitude and willingness to learn new science, software applications, and tools
Experience gathering, analyzing, and interpreting data and reporting on the results
Proficiency with Excel, Word and PowerPoint
Preferred Qualifications:
Familiarity with SQL or Tableau
Experience using machine learning algorithms
Proficiency with statistical methods such as linear regression, generalized linear models, and hierarchical/mixed models
A working knowledge of deterministic optimization (e.g., linear programming, integer programming, mixed integer programming), or other optimization (nonlinear programming, dynamic programming, etc.)
Experience and expertise of using mathematical programming software and/or developing algorithms for large scale optimization problems
Proficiency with forecasting methodologies
Proficiency with Bayesian statistics
Proficiency with discrete event simulation
Prior research or industrial experience in revenue management, pricing, and/or supply chain applications
Proficiency with neural networks and/or deep learning
Proficiency with text mining methods, such as natural language processing, sentiment analysis, and topic modeling
Required Education :
Graduate Level student or recently graduated from a Graduate program (within 6 months of graduating) pursuing a Master's Degree or PhD in Statistics, Operations Research, Industrial Engineering, Math, Economics, or related field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available, full-time, 40 hours per week, from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
A team of high performing problem-solvers, and subject matter experts that solve complex Talent, Human Capital, and HR issues using proven scientific and mathematical techniques and communicate in ways which resonate with clients to support business decisions.
Responsibilities :
Consult with clients across the organization, translating high-level business objectives into analytical solutions that provide clear and actionable insights
Conduct analysis connecting behavioral analytics with labor economics to identify key insights and drivers to employee behavior
Construct complex data sets and measures to be used in analyses that drive business decisions
Develop sustainable statistical algorithms and machine learning processes that support HR business processes, tools, models, or products
Work collaboratively with team members to develop analytical solutions which support cross-functional needs
Develop and deliver model/forecast outputs to be leveraged by key partners, clients, and internal reporting Proactively identify analytical opportunities to solve key business issues or strategies
Synthesize analytical output and findings for storytelling and decision making
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 proven experience dealing in labor economics or behavioral analytics
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 adaptable and have high level of comfort with change and ambiguity
Basic Qualifications :
4 years at an analyst level in a data-oriented role dealing in statistics or analytics. Deep knowledge of analytical tools and processes & data infrastructures
Preferred Qualifications:
Decision Science or Workforce Planning.
Required Education :
4 year degree in Organization Psychology, Mathematics, Statistics, Economics or a related field.
Preferred Education :
Advanced Degree (Masters or above) in an Organization Psychology, Mathematics, and Statistics, Economics or a related field.
Aug 09, 2019
Full-time
A team of high performing problem-solvers, and subject matter experts that solve complex Talent, Human Capital, and HR issues using proven scientific and mathematical techniques and communicate in ways which resonate with clients to support business decisions.
Responsibilities :
Consult with clients across the organization, translating high-level business objectives into analytical solutions that provide clear and actionable insights
Conduct analysis connecting behavioral analytics with labor economics to identify key insights and drivers to employee behavior
Construct complex data sets and measures to be used in analyses that drive business decisions
Develop sustainable statistical algorithms and machine learning processes that support HR business processes, tools, models, or products
Work collaboratively with team members to develop analytical solutions which support cross-functional needs
Develop and deliver model/forecast outputs to be leveraged by key partners, clients, and internal reporting Proactively identify analytical opportunities to solve key business issues or strategies
Synthesize analytical output and findings for storytelling and decision making
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 proven experience dealing in labor economics or behavioral analytics
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 adaptable and have high level of comfort with change and ambiguity
Basic Qualifications :
4 years at an analyst level in a data-oriented role dealing in statistics or analytics. Deep knowledge of analytical tools and processes & data infrastructures
Preferred Qualifications:
Decision Science or Workforce Planning.
Required Education :
4 year degree in Organization Psychology, Mathematics, Statistics, Economics or a related field.
Preferred Education :
Advanced Degree (Masters or above) in an Organization Psychology, Mathematics, and Statistics, Economics or a related field.
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics. We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities :
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications :
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education :
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education :
Masters in Computer Science or similar is preferred
Jul 29, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics. We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities :
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications :
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education :
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education :
Masters in Computer Science or similar is preferred
The Merchandise Experience Planning & Integration team is seeking multiple highly motivated, retail analysts/seniors with strong data science backgrounds who will conduct business analysis and clearly articulate recommendations to help drive improvements to the guest experience and the overall business. They will be accountable for consulting with Disney’s Theme Park Merchandise (DTPM) business partners to assess and address information needs, and for managing, analyzing and synthesizing analytics and insights to influence decisions and action planning. They will lead analytic efforts related to demand forecasting, customer segmentation, product affinity modeling, assortment optimization, demand transference and various other areas to help drive our businesses. They will operate across a highly-matrixed, multinational organization and help drive the organization's strategic advantage through more in-depth analysis of structured and unstructured data available across DTPM. Candidates should have an inherent passion for data and data driven thinking and be adept at extracting patterns from volumes of data to drive strategy and operational efficiencies. We will be considering talent to fill Scientist and Sr. Scientist level positions. Both will report to the Manager-Merchandise Business Intelligence.
Responsibilities:
Support development of the advanced analytics practice: Develop best in class advanced analytics practice for DTPM and drive analytic culture across the planning and product development teams.
Support BI Reporting: In collaboration with leadership, support the development of Business Intelligence (BI) dashboards to highlight key performance indicators (KPI) across franchises, locations and channels. Work will include multi-source data integration and development in BI tools (Business Objects, Tableau, Teradata, MSSQL).
Data Infrastructure: In collaboration with infrastructure in IT teams, make recommendations for data architecture strategy.
Tool Assessment: Develop and deploy analytical tools and data science techniques to analyze complex data sets.
Monitor trends in data science and alternative sources to ensure that DTPM is in tune with best in class tools and techniques.
Basic Qualifications:
Demonstrated in-depth understanding of the retail industry
Three plus years of retail specific experience in analytics, insights, competitive intelligence, market research, or other similar function with demonstrated ability to manage in a complex environment with multiple constituencies
Deep expertise in complex modeling and analytical methodology including, but not exclusively, longitudinal analyses, multi-level modeling and multivariate analyses of variance
Strong knowledge of databases, database architecture, data warehouses, and ETL processes
Experience using analysis tools such as SQL, SAS, Tableau, and R
Ability to influence and work through others to effectively navigate matrixed organization while ensuring that necessary stakeholders are informed
Ability to simplify highly complex analyses and output into terms that are easily accessible and impactful in both written and verbal formats
Familiarity and experience with data visualization and executive communication
Future-oriented thinker with expertise in external practices and trends
High level of analytical and negotiating skills as evidenced by high intelligence, strong financial and analytical capabilities and the proven ability to develop, sell and drive suitable partnerships, alliances, or other transactions to closure
Strong sense of responsibility, ownership and pride in delivering quality results, and understanding the business impacts
Preferred Qualifications:
Seven plus years of experience in market research, insights, analytics, competitive intelligence or other similar function with demonstrated ability to manage in a complex environment with multiple constituencies (retail specific experience preferred)
Ability to lead small teams
Experience with Tableau
High proficiency with SQL and Microsoft SSIS Packages
Understanding of and experience with standard retail data warehouses
Machine Learning application and experience
AI assisted data analysis
Good sense of graphic / visual design
Required Education:
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, or equivalent experience
Preferred Education:
Master’s degree
Additional Information:
We strongly encourage applicants to upload a copy of their resume and to print a copy of this role description so they can refer to it in the event they are selected for an interview.
Jul 29, 2019
Full-time
The Merchandise Experience Planning & Integration team is seeking multiple highly motivated, retail analysts/seniors with strong data science backgrounds who will conduct business analysis and clearly articulate recommendations to help drive improvements to the guest experience and the overall business. They will be accountable for consulting with Disney’s Theme Park Merchandise (DTPM) business partners to assess and address information needs, and for managing, analyzing and synthesizing analytics and insights to influence decisions and action planning. They will lead analytic efforts related to demand forecasting, customer segmentation, product affinity modeling, assortment optimization, demand transference and various other areas to help drive our businesses. They will operate across a highly-matrixed, multinational organization and help drive the organization's strategic advantage through more in-depth analysis of structured and unstructured data available across DTPM. Candidates should have an inherent passion for data and data driven thinking and be adept at extracting patterns from volumes of data to drive strategy and operational efficiencies. We will be considering talent to fill Scientist and Sr. Scientist level positions. Both will report to the Manager-Merchandise Business Intelligence.
Responsibilities:
Support development of the advanced analytics practice: Develop best in class advanced analytics practice for DTPM and drive analytic culture across the planning and product development teams.
Support BI Reporting: In collaboration with leadership, support the development of Business Intelligence (BI) dashboards to highlight key performance indicators (KPI) across franchises, locations and channels. Work will include multi-source data integration and development in BI tools (Business Objects, Tableau, Teradata, MSSQL).
Data Infrastructure: In collaboration with infrastructure in IT teams, make recommendations for data architecture strategy.
Tool Assessment: Develop and deploy analytical tools and data science techniques to analyze complex data sets.
Monitor trends in data science and alternative sources to ensure that DTPM is in tune with best in class tools and techniques.
Basic Qualifications:
Demonstrated in-depth understanding of the retail industry
Three plus years of retail specific experience in analytics, insights, competitive intelligence, market research, or other similar function with demonstrated ability to manage in a complex environment with multiple constituencies
Deep expertise in complex modeling and analytical methodology including, but not exclusively, longitudinal analyses, multi-level modeling and multivariate analyses of variance
Strong knowledge of databases, database architecture, data warehouses, and ETL processes
Experience using analysis tools such as SQL, SAS, Tableau, and R
Ability to influence and work through others to effectively navigate matrixed organization while ensuring that necessary stakeholders are informed
Ability to simplify highly complex analyses and output into terms that are easily accessible and impactful in both written and verbal formats
Familiarity and experience with data visualization and executive communication
Future-oriented thinker with expertise in external practices and trends
High level of analytical and negotiating skills as evidenced by high intelligence, strong financial and analytical capabilities and the proven ability to develop, sell and drive suitable partnerships, alliances, or other transactions to closure
Strong sense of responsibility, ownership and pride in delivering quality results, and understanding the business impacts
Preferred Qualifications:
Seven plus years of experience in market research, insights, analytics, competitive intelligence or other similar function with demonstrated ability to manage in a complex environment with multiple constituencies (retail specific experience preferred)
Ability to lead small teams
Experience with Tableau
High proficiency with SQL and Microsoft SSIS Packages
Understanding of and experience with standard retail data warehouses
Machine Learning application and experience
AI assisted data analysis
Good sense of graphic / visual design
Required Education:
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, or equivalent experience
Preferred Education:
Master’s degree
Additional Information:
We strongly encourage applicants to upload a copy of their resume and to print a copy of this role description so they can refer to it in the event they are selected for an interview.
