Senior Data Analyst - AI-Driven Inventory & Forecasting

Target; Minneapolis (MN); Hybrid; USD 88,000 - 158,000; Full time

Benefits offered by this job

Health benefits

401(k)

Paid time off

Job summary

Target is seeking a Sr Data Analyst in Minnesota to transform data into actionable insights and support inventory and forecasting decisions. You will collaborate with planning, inventory, merchandising, and technology teams to deliver AI-driven analytics and improve availability and profitability.

The role emphasizes advanced analytics, data storytelling, and scalable data pipelines using platforms like BigQuery and Spark. Hybrid work arrangement applies, with on-site MN location as needed.

Qualifications

• BA/BS or equivalent in quantitative field with analytical focus.
• 3+ years of data analysis experience or masters-level education in data analytics.
• Strong SQL skills and DW/BI concepts required.
• Experience with BI tools: Power BI, Looker, Tableau.
• Knowledge of structured/unstructured data and big data platforms.
• Proficiency in Python or R and open-source tools.

Responsibilities

• Translate business problems into analytical questions and models.
• Develop AI-driven analytic solutions for forecasting and optimization.
• Partner with business stakeholders to define requirements and present insights.
• Build reliable data pipelines and ensure data quality and governance.
• Communicate findings with non-technical audiences and document methodologies.
• Support enterprise decision-making with robust analytics delivery.

Skills

SQL

Power BI

Looker/Tableau

Python

R

GenAI

LLM workflows

Data storytelling

Stakeholder communication

Education

BA/BS or equivalent (Math, Statistics, Econometrics, Data Sciences, CS)

Tools

BigQuery

Spark

Airflow

Teradata

HDFS

Job description

Target is seeking a Sr Data Analyst in Minnesota to transform data into actionable insights and support inventory and forecasting decisions. You will collaborate with planning, inventory, merchandising, and technology teams to deliver AI-driven analytics and improve availability and profitability.

The role emphasizes advanced analytics, data storytelling, and scalable data pipelines using platforms like BigQuery and Spark. Hybrid work arrangement applies, with on-site MN location as needed.