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Senior Data Analyst – Digital and Ecommerce, Experimentation, Math​/Stats, A​/B Testing, ML

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-21
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 70000 - 110000 USD Yearly USD 70000.00 110000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Leverage data, statistics, and visualization to generate actionable insights that drive value across multiple business functions.
  • Utilize market-leading tools, data automation, and analytical methodologies to support reporting and performance measurement.
  • Collaborate with cross-functional teams to analyze trends, optimize digital strategies, and provide clear recommendations for business growth.
  • Ensure the accuracy, consistency, and security of data across all reports and analysis.
Qualifications
  • 4‑year degree or equivalent experience
  • 3+ years of experience as a Data Analyst in industry with strong performance in a quantitative field or equivalent experience
  • Advanced SQL experience writing complex queries and accomplished in Python or R
  • Demonstrated experience in analytics tools such as: SQL, Hadoop, Hive, Spark, Power BI, Adobe Analytics (or Google Analytics) and/or equivalent technologies
  • Knowledge of A/B Testing methods and time series forecasting models including statistical analysis
  • Builds detailed reports and dashboards using various tools, designs and implements data visualizations to communicate complex data clearly.
  • Prepare data models and analysis to identify, analyze and interpret trends or patterns in complex data sets for values and new opportunities.
  • Experience leveraging advanced analytics and AI‑driven approaches (e.g., predictive modeling, machine learning, or AI‑enabled tools) to enhance decision‑making
  • Solid problem solving, analytical skills, data curiosity, data mining, data creation and consolidation
  • Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them.
Core Competencies

Proficient in leveraging data analytics and visualization tools to generate actionable insights and drive business growth. Expertise in advanced SQL, Python or R, and experience with analytics tools to ensure data accuracy and support performance measurement.

Tools & Technologies
  • Power BI
  • Adobe Analytics
  • Google Analytics
  • Hadoop
  • Hive
  • Spark
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Position Requirements
10+ Years work experience
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