Sr Data Analyst/Data Science Analytics (Full-Time Remote /Hybrid)

Key Skills

Apache Hadoop, Apache Hive, Java Programming, Python Programming, SPARK Programming, SQL

Job Description

As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.

Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. It’s how we care, grow, and win together.

One of the world’s leading and most recognized brands requires an industry-leading Assets Protection team who ensures the safety and security of our teams, guests, Target locations, and merchandise. Behind Target’s best loved brands is a uniquely capable and brilliant team of data scientists, engineers, and analysts. Target’s analytic team members create the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target.

Primary Function:

As a Senior Data Analyst in Assets Protection Data Insights, you’ll be part of an analytical team responsible for data discovery, design, delivery, science, reporting, and analysis for our Assets Protection organization supporting our HQ, Stores, Supply Chain and Investigations Center partners. In this role, you’ll serve as an advocate and architect of our data-driven culture, build and maintain an effective data ecosystem, and apply advanced analytical and scientific techniques directly to business problems, iterating on both the delivery and the deliverable of end-to-end analytics. You’ll partner closely with not just Assets Protection’s, but all of Target’s technology, data science, and business partners to develop curated and scalable insights that democratize data, mature analytical approaches, and drive actionable insights to our end users.

Principal Duties and Responsibilities:

• Developing and maintaining prototype to large-scale datasets, analytical insights, and reporting
• Actively exploring data for specific use cases
• Working directly with business leaders and partners with varying levels of analytical and technical experience to develop testable hypotheses and analytical applications
• Applying statistical techniques and rigor to develop analytical metrics, models, and feedback loops
• Documenting calculations, code, and adhering to data management principles
• Active participant in enterprise analytics community, trainings, and routines
• Active participant and contributor in team meetings, agile ceremonies, scoping, and demos

Reporting/Working Relationships:

Works directly with product owners, process owners, other analysts, data scientists, and engineers to gain and share insights, techniques, and applications of relevant data. Engages with product owners and users to iterate on and deliver completed work in a collaborative environment. Active participant in Data and Analytics functions and training.

Job Requirements:

• BA/BS in a quantitative degree – Math, Statistics, Econometrics, Computer Science or equivalent work experience
• 3+ years relevant experience in statistical analysis, metric development, and visualization
• Experience with programming languages like SQL, Python, R, etc.
• Exposure to Big Data tools and Hadoop ecosystem (Hive, Spark, etc.)
• Experience in business partner collaboration within own area and across other pyramids/areas Strong problem solving and analytical skills
• Stays current with new and evolving technologies via formal training and self-directed education

Preferred:

• Experience using machine learning to solve complex business problems
• Experience in or exposure to Assets Protection business domain