Senior Data Analyst

Target

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Brooklyn Park, MN
Salary
$88,000–$158,000 / yr
Employment
Full-time
Posted
96 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $170k
This role $123k
$73k $224k
below market most similar roles pay here above market

This role pays less than 87% of similar roles. Most pay $135,000–$204,275 — the blue band above. At the midpoint, this role pays about $123k versus about $170k 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 92 open roles on FindRole.

Listed pay typically runs $98,000–$176,000 across 67 roles with salary data.

Most-posted roles

View all roles at Target

At a glance

TL;DR · Senior Data Analyst

The Senior Data Analyst - TES Data and Analytics joins the Data & Analytics Team to support Target Enterprise Services. This role involves identifying process gaps, prototyping statistical models, and developing scalable tools to improve operational effectiveness. You will perform deep-dive analyses on both modern and immature data sources, build dashboards, and design KPIs to measure performance across the Service Center Organization. Key responsibilities include applying AI-enabled analysis techniques, performing sentiment analysis, and mentoring team members. The position requires proficiency in SQL, Python, R, and data visualization tools like Looker and Power BI, along with experience in GCP and Git. You will translate complex analytics into actionable business insights, using large language models and prompt engineering to solve business problems and drive continuous improvement within the enterprise.

What does a Data Analyst earn?

Median $126775 from 72 postings across 23 companies.

See salary data

What you'll do

  • Identify process gaps and inefficiencies through data exploration and investigative techniques.
  • Build prototype statistical models and algorithms to improve forecasting accuracy and operational effectiveness.
  • Develop user-friendly tools and dashboards to provide actionable insights for enterprise partner teams.
  • Create and refine KPIs and metrics to measure performance and shape organizational behaviors.
  • Apply AI-enabled analysis techniques to transform unstructured data into scalable business insights.
  • Translate complex analytics into clear presentations and data visualizations for diverse stakeholders.
  • Mentor team members by sharing domain knowledge, best practices, and advanced analytical techniques.

What we're looking for

  • Bachelor’s degree in Data Science, Business Analytics, Statistics, or a related field.
  • 5+ years of experience in data analytics with a track record of solving complex business problems.
  • Advanced skills in SQL, Python, R, and data visualization tools like Looker or Power BI.
  • Practical experience leveraging large language models and AI prompt engineering to analyze and categorize data.
  • Proven experience in developing metrics, KPIs, and reporting frameworks.
  • Ability to translate complex analytics into actionable business insights and communicate findings to stakeholders.
  • Familiarity with service center analytics (preferred).
  • Experience building statistical models or algorithms to improve forecasting (preferred).

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