Target offers a collaborative environment within the Digital Analytics and Insights group, focusing on experimentation, machine learning, and math and statistics to guide data-driven decisions across digital and e-commerce initiatives. This hybrid role is based in Minneapolis, MN, with a compensation range of USD 69,800 to 125,700 per year. The company provides a comprehensive benefits package, including medical, vision, and dental coverage, life insurance, a 401(k) plan, employee discounts, short- and long-term disability, paid sick leave, paid holidays, and paid vacation.
Responsibilities
- Leverage leading tools, data automation, and analytic methodologies to support reporting and performance measurement.
- Collaborate with cross-functional teams to analyze trends, optimize digital strategies, and deliver clear recommendations for growth.
- Apply hands-on experience in data extraction, transformation, and visualization to inform decision making.
- Work with large datasets, build scalable reports, and translate complex data into accessible insights for timely decisions.
- Combine independent work with teamwork to identify opportunities through data and contribute to the team’s success.
Requirements
- Four-year degree or equivalent experience.
- At least 1 year as a Data Analyst with strong quantitative coursework or solid equivalent experience.
- Intermediate SQL skills with the ability to write complex queries.
- Strong problem solving and analytical abilities, data curiosity, and experience with data mining, creation, and consolidation.
- Ability to support conclusions with clear narratives using descriptive statistics, basic inferential statistics, and data visualizations.
- Willingness to clarify business objectives and measurement needs, and to define and measure objectives and key results.
- Excellent communication skills with the ability to speak to both business and technical teams and translate ideas between them.
- Kno wledge of AB Testing methods, time series analysis, S&OP planning, and forecasting models including statistical analysis.
- Experience with analytics tools such as SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies.
- Ability to build detailed reports and dashboards, design and implement data visualizations, and prepare data models to identify trends and opportunities.
- Experience applying advanced analytics and AI-driven approaches, such as predictive modeling or machine learning, to support decision making.
- Collaborates with cross-functional teams to understand data needs and delivers solutions in partnership with digital technology and data engineering to ensure data integrity and accuracy.
- Ensures data accuracy, consistency, and security across reports and analyses.
- Builds and maintains positive partner relationships to understand data needs, provide insights, and ensure reporting solutions meet key objectives.
Technologies
- SQL
- Excel
- Hadoop
- Hive
- Spark
- Python
- R
- Domo
- Adobe Analytics
- Google Analytics
Benefits
- Comprehensive health benefits and programs (medical, vision, dental, life insurance)
- 401(k)
- Employee discount
- Short-term disability
- Long-term disability
- Paid sick leave
- Paid national holidays
- Paid vacation
Benefits eligibility
https://tgt.biz/BenefitsForYou_D
Americans with Disabilities Act (ADA) accommodations
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
