Job Description

About Us

Target is an iconic brand, a Fortune 50 company and one of America’s leading retailers.

Be a part of a team as a Guest Data Platform Product Data Analyst working to set direction for the enterprise to maximize strategic value of our guest data, while simultaneously upholding rigorous standards for data privacy and ensuring compliance with current and future data privacy laws.

A data analyst will turn data into information, information into insight and insight into business decisions. Business decisions could include, but are not limited to, product feature prioritization, data strategy, use case business impact assessment, and/or A/B test rollout decisions.

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, profiling and design. Product Data analysts will develop analysis, ad-hoc, and operating reporting and dashboard capabilities. They will also monitor performance and quality control plans to identify improvements to guest data quality.

As a steward of guest data, a Data Analyst is accountable to engage with business owners, product owners, engineering, and architecture to create data definitions, data quality rules, and exception guidelines. Classify data based on Personally Identifiable Information (“PII”) and other parameters that helps manage data as an enterprise asset.

Responsibilities

Interpret data, analyze results and provide ongoing reports, analysis, and/or dashboards that measure guest data health and product OKRs.
Identify, analyze, and interpret trends or patterns in complex data sets to inform GDP roadmap.
Work with product management to inform use case prioritization by using data to make decisions on size, scope, and expected business impact of use case implementation.
Set-up & measure results from A/B tests using enterprise testing tools
Responsible for understanding end-to-end guest data flows and identifying data dependencies in support of delivery, release, and change management.
Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the definition and maintenance of guest data landscape including overlays with the technology landscape, end-to-end data flows/transformations and data lineage.

Job duties may change at any time due to business needs.

About You

BS in Mathematics, Economics, Computer Science, Information Management or Statistics
4 + years of proven working experience as a data analyst or business data analyst
Technical expertise regarding data models, database design development, data mining and data integration techniques
Strong knowledge of and experience with reporting tools, database programming language (e.g. SQL, etc.). Experience with big data programming (e.g. spark, hive, python, etc.) nice to have
Very good analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings