Sr Data Analyst

Job Summary:

You will support Marketplace leaders through data-driven insights and analytics. This role involves identifying key performance drivers, creating scalable self-service reporting tools, and collaborating with cross-functional teams to drive business performance. You will work with large datasets and use modern analytics tools to deliver clear, actionable findings that enhance Target’s digital capabilities and guest experience.

Responsibilities:

• Leverage technical and analytical skills (SQL, BI tools) to identify business performance opportunities.
• Create user-friendly self-service dashboards using tools like Domo, Looker, or Power BI.
• Conduct root cause analysis and communicate insights to leadership.
• Collaborate across digital teams (Marketing, Product, Item, Site Experience) to influence financial performance.
• Partner with data engineering to build and scale reporting infrastructure and capabilities.
• Simplify complex data for efficient decision-making across various business functions.

Qualifications and Experience:

• Bachelor’s degree or equivalent experience in a quantitative field.
• 3+ years of experience as a Data Analyst, preferably in digital/clickstream data environments.
• Advanced SQL proficiency and intermediate skills in Python or R.
• Strong analytical thinking, problem-solving, and data mining skills.
• Clear communication skills with ability to convey technical insights to non-technical stakeholders.
• Experience with A/B testing, forecasting models, and tools such as Hive, Hadoop, Spark, Excel, Domo, and Adobe or Google Analytics.

Benefits:

• Comprehensive health coverage (medical, dental, vision, life insurance) for eligible team members and dependents.
• 401(k) plan with company match.
• Employee discount, paid sick leave, vacation, and national holidays.
• Short-term and long-term disability options.

About Company:

Target helps families discover the joy of everyday life. Behind our iconic brand is a team of data scientists, engineers, and analysts who power innovation across all areas of the business. The Data & Analytics team plays a vital role in areas such as personalization, fraud detection, IoT, supply chain, and demand forecasting.

Work Arrangement:

This role may be eligible for Remote or Hybrid (Flex for Your Day) work arrangements depending on team and business needs. Travel to HQ may be required up to four times a year. Duties must be performed within the country of the primary work location.