Senior Data Analyst, Planning & Inventory Management

Target

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Hybrid

Quick summary

Work type
Hybrid
Location
Minneapolis, MN
Employment
Full-time
Posted
85 days ago
Freshness
Confirmed live today

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How this pay compares to similar roles

Similar $162k
$118k $206k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$197,800.

Based on 240 similar postings.

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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.

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At a glance

TL;DR · Senior Data Analyst, Planning & Inventory Management

The Sr Data Analyst - Planning & Inventory Management joins the Planning & Inventory Management Data Analytics team to support critical business capabilities including Assortment & Inventory Planning, Forecast Management, and Strategy & Enablement. You will translate business problems into structured analytical questions, developing AI-driven solutions for forecasting, optimization, and automation. Daily tasks involve building reliable data pipelines, performing causal, predictive, and prescriptive analytics, and creating data stories for non-technical audiences. You will utilize technologies including GCP BigQuery, Spark, SQL, Airflow, and Python or R. Proficiency in BI visualization tools like Power BI, Looker, or Tableau is required alongside experience with HDFS and Git. This role solves complex inventory availability and forecasting accuracy problems within a retail merchandising context to drive profitable growth and efficient enterprise decision-making.

What does a Data Analyst earn?

Median $126775 from 72 postings across 23 companies.

See salary data

What you'll do

  • Translate complex business problems into structured analytical questions and modeling approaches.
  • Develop and deliver AI-driven solutions including GenAI and agentic workflows for forecasting and optimization.
  • Apply causal, predictive, and prescriptive analytics to identify business levers and inform actions.
  • Build and maintain reliable data pipelines using GCP BigQuery, Spark, and Airflow.
  • Partner with stakeholders to validate requirements and present data-driven insights to non-technical audiences.
  • Define quality metrics and measure the tangible business impact of AI-driven analytical workflows.
  • Document analytical methodologies and assumptions to ensure knowledge sharing and scalability.

What we're looking for

  • BA/BS or equivalent experience in Math, Statistics, Econometrics, Data Sciences, Computer Science, or a related field.
  • 3+ years of work experience in data analysis or a master's level education in business analytics or data science.
  • Extensive exposure to SQL, SQL optimization, and DW/BI concepts.
  • Proven hands-on experience with BI visualization tools such as Power BI, Looker, or Tableau.
  • Strong knowledge of structured and unstructured databases, including Teradata, Oracle, Hive, and HDFS.
  • Experience in R, Python, Hive, or other open-source languages and databases.
  • Experience in advanced analytical techniques such as Regression, Time-series models, and Classification Techniques.
  • Experience in Retail, Merchandising, or Marketing (preferred).
  • Experience leveraging Generative AI and LLM-based solutions (preferred).

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