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About the Role

As a Senior Data Analyst within the Digital Analytics and Insights group, you will leverage data, statistics, and visualization to generate actionable insights that drive value across multiple business functions. You will 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.

Responsibilities

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.
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.
Leverage advanced analytics and AI-driven approaches (e.g., predictive modeling, machine learning, or AI-enabled tools) to enhance decision-making.
Works closely with cross functional teams to understand data needs, value opportunities and delivers solutions in partnership with digital technology and data engineering teams to ensure data integrity and accuracy.
Ensures the accuracy, consistency, and security of data across all reports and analysis.
Cultivates and maintains positive partners relationships to understand their data needs, provides insights and finds improvement opportunities, and ensures reporting solutions address key objectives.

Requirements

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.
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.
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.

Skills

SQL
Python
R
Hadoop
Hive
Spark
Power BI
Adobe Analytics
Google Analytics
A/B Testing
Time series forecasting
Statistical analysis
Data visualization
Data modeling
Predictive modeling
Machine learning
AI-driven approaches

Location

Target HQ MN

Work Type

Hybrid/Flex for Your Day

Experience Level

Senior
3+ years of experience

Education Level

4-year degree or equivalent experience

Salary/Compensations

$88,000.00 - $158,000.00

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

About the Company

Working at Target means helping all families discover the joy of everyday life.
The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target.
We help develop the technology that personalizes the guest experience - from product recommendations to relevant ad content.
We’re also the source of the data and analytics behind Target’s Search applications, fraud detection, Supply Chain optimization and demand forecasting.
We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com.

Equal Opportunity

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.