Product Delivery
About the position
The Product Delivery role focuses on managing cross-channel data feeds and collaborating with data owners and development teams to ensure the successful delivery of data solutions. This position involves creating business requirements documents, validating data feeds, and providing analytical support to various teams. The role also includes training on analytical solutions and maintaining data compliance and accuracy.
Responsibilities
Partner with Data Owners to create Business Requirements Document (BRD) for each data feed owned.
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Manage 38 Cross-channel Data Feeds - ETL, Requirements, Code Changes, Source Updates.
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Partner with the Development team to deliver data feed(s), following requirements outlined in BRD.
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Ensure Data Use Approvals, Protective Group Classification and Data Registration tasks are complete and maintained for each feed.
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Validate new data feeds and complete quarterly checks of feeds for accuracy and completeness.
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Provide use case support to Analysis and Modeling teams.
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Perform customer segmentation analysis, contact center analysis, utilize marketing analytics and web analytics to provide user solutions.
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Perform data training/enablement for Snowflake and AWS Analytical solutions.
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Document data feed requirements, validations, and data lineage to satisfy internal controls.
Requirements
Master's degree in Information Systems, Data Science, Machine Learning, Data Analytics, Data Mining, or related field of study plus 3 years of experience in the job offered or as a Product Delivery, Analytic Solutions, Data Analyst/Engineer, Software Engineer, Programmer Analyst, or related occupation.
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Alternatively, a Bachelor's degree in the same fields plus 5 years of experience in the job offered or related occupations.
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Experience with SQL, Agile, SDLC, Python, MS Excel, developing and running API calls for data analysis, utilizing AWS concepts for data connections, file download/transfer, and SQL querying, Snowflake, JIRA, Confluence, Shell Scripting, Tableau.
Nice-to-haves
Experience in customer experience analysis and presenting fact-based recommendations.
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Ability to utilize data to 'tell a story'.
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Knowledge of data architecture, databases, and data structures.
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Experience in developing complex queries to join multiple data tables together into a single dataset.
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Strong relationship management skills with business partners in various divisions, operations, and IT partners.
Benefits
Comprehensive health care coverage
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On-site health and wellness centers
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Retirement savings plan
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Backup childcare
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Tuition reimbursement
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Mental health support
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Financial coaching
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