Data Analyst, Digital & E-commerce

Target

Hybrid

Quick summary

Work type: Hybrid
Location: Minneapolis, MN
Salary: $69,800–$125,700 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $150k

This role $98k

$57k most similar roles pay here $189k

This role pays less than 97% of similar roles. Most pay $126,800–$173,137 — the shaded band above. At the midpoint, this role pays about $98k versus about $150k 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 · Data Analyst, Digital & E-commerce

Role Posting Log in to save

As a Data Analyst in the Digital Analytics and Insights group at Target, you will join a team of data professionals dedicated to driving business performance through data-driven decision-making. You will utilize advanced tools like SQL, Python, R, and Domo to extract, transform, and visualize large datasets, creating actionable insights that optimize digital strategies and support reporting and performance measurement. Your day-to-day responsibilities include collaborating with cross-functional teams to analyze trends, build scalable reports, and implement data visualizations that simplify complex data for efficient decision-making. Ideal candidates possess strong analytical skills, intermediate SQL experience, and knowledge of AB testing methods and forecasting models. You will work closely with digital technology and data engineering teams to ensure data integrity and accuracy while cultivating positive relationships with partners to understand their needs and deliver tailored solutions.

Skills

SQL Python R Excel Hadoop Hive Spark Domo Adobe Analytics Google Analytics AB Testing Time Series Analysis Forecasting Models Predictive Modeling Machine Learning

What you'll do

Analyze large datasets to identify trends and patterns.
Develop scalable reports and dashboards using data visualization tools.
Collaborate with cross-functional teams to optimize digital strategies.
Support business decision-making by providing actionable insights from data.
Implement advanced analytics techniques, including predictive modeling and AI.

What we're looking for

1+ year experience as a Data Analyst or equivalent strong quantitative background
Proficient in SQL with ability to write complex queries and handle large datasets
Strong problem-solving skills, data mining expertise, and statistical analysis knowledge
Experience with analytics tools like Excel, Python, R, Domo, Adobe Analytics, and Hadoop
Ability to create detailed reports, dashboards, and visualizations for clear communication
Familiarity with AB Testing methods, time series analysis, forecasting models, and S&OP planning
Works closely with cross-functional teams to ensure data integrity and accuracy in reporting

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