Senior Data Analyst, Digital and Ecommerce

Target

Closes in 6 days Remote Hybrid

Quick summary

Work type: Remote
Location: Remote
Salary: $88,000–$158,000 / yr
Posted: 1 day ago
Closes: Jul 8, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $157k

This role $123k

$76k most similar roles pay here $199k

This role pays less than 80% of similar roles. Most pay $126,800–$187,400 — the shaded band above. At the midpoint, this role pays about $123k versus about $157k for comparable roles.

Based on 240 similar postings.

Employer

About Target

Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail

Target currently has 56 open roles on FindRole.

Listed pay typically runs $106,500–$208,500 across 56 roles with salary data.

Most-posted roles

View all roles at Target

At a glance

TL;DR · Senior Data Analyst, Digital and Ecommerce

Role Posting Log in to save

As a Senior Data Analyst in Target’s Digital Analytics and Insights group, you will work with a team of data experts to create actionable insights that drive business performance. Your day-to-day responsibilities include leveraging advanced SQL queries, Python or R for complex data analysis, and tools like Power BI and Adobe Analytics to build scalable reports and dashboards. You will collaborate closely with cross-functional teams to optimize digital strategies, identify trends through A/B testing and time series forecasting, and ensure the accuracy of data across all analyses. Ideal candidates have 3+ years of experience in a quantitative field, proficiency in Hadoop, Hive, Spark, and AI-driven approaches such as predictive modeling and machine learning, and strong communication skills to bridge business and technical teams effectively.

Skills

SQL Python R Hadoop Hive Spark Power BI Adobe Analytics Google Analytics A/B Testing Time Series Forecasting Predictive Modeling Machine Learning Data Visualization Data Mining CI/CD

What you'll do

Develop actionable insights from complex datasets using advanced analytics tools.
Write complex SQL queries and build scalable reports for business functions.
Design data visualizations to communicate trends and patterns clearly to stakeholders.
Collaborate with cross-functional teams to optimize digital strategies and performance.
Implement A/B testing methods and time series forecasting models for decision-making.

What we're looking for

3+ years of experience as a Data Analyst or equivalent quantitative field expertise
Proficient in SQL for complex queries and Python/R for data analysis
Experience with analytics tools like Hadoop, Hive, Spark, Power BI, Adobe Analytics
Knowledge of A/B testing methods and time series forecasting models
Builds detailed reports and dashboards to communicate complex data effectively
Leverages advanced analytics and AI-driven approaches for decision-making
Collaborates closely with cross-functional teams to ensure data integrity and accuracy

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