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Sr Data Analyst, Ecommerce & Product Analytics (Experimentation, Math/Stats, A/B testing, ML)

Target
Minneapolis, USA
Full-time
Onsite
USD 88000-158000 yearly
Discovered 1 weeks ago
SQLPythonRA/B testingStatistical analysisTime-series forecasting

Full Job Posting

Pay and benefits

  • The pay range is $88,000 to $158,000 per year; pay depends on factors including labor market, education, experience, and certifications.
  • Eligible team members may receive health and wellness benefits, 401(k), employee discounts, disability coverage, paid sick leave, holidays, and vacation.

Team overview

Target's Data and Analytics teams create data products and tools for business decisions, personalization, search, fraud detection, supply-chain optimization, and demand forecasting.

The Digital Analytics and Insights group enables data-driven decisions to improve business performance in retail.

Role overview

The Senior Data Analyst uses data, statistics, and visualization to produce actionable insights across business functions.

The role supports reporting, performance measurement, digital strategy, and business growth recommendations.

Responsibilities

  • Analyze trends and optimize digital strategies with cross-functional teams.
  • Extract, transform, and visualize data; build scalable reports, dashboards, and data models.
  • Identify and interpret trends, patterns, and opportunities in complex datasets.
  • Partner with business, digital technology, and data engineering teams to deliver solutions and maintain data integrity.
  • Ensure report and analysis data is accurate, consistent, and secure; build partner relationships and improve reporting solutions.

Qualifications

  • Four-year degree or equivalent experience.
  • At least 3 years of industry Data Analyst experience in a quantitative field or equivalent experience.
  • Advanced SQL; proficiency in Python or R.
  • Experience with analytics tools such as Hadoop, Hive, Spark, Power BI, Adobe Analytics or Google Analytics, or equivalent technologies.
  • Knowledge of A/B testing, time-series forecasting, and statistical analysis.
  • Experience with reports, dashboards, visualizations, complex datasets, advanced analytics, and AI-driven methods.
  • Strong problem-solving, analytical, communication, and cross-functional collaboration skills.

Work arrangement

  • The posting describes the position as Hybrid/Flex for Your Day.

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