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Senior Data Analyst Developer Jobs in Minnesota (NOW HIRING)

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $145K/yr

Sr. Data Engineer, Microsoft Fabric & Power BI Location: Vadnais Heights, MN (Hybrid) What is IP ... This role combines data engineering, analytics, and business intelligence development to transform ...

Sr. Data Engineer

North Saint Paul, MN · On-site

$125 - $150/hr

The Sr. Data Engineer, Microsoft Fabric & Power BI is responsible for designing, building, and ... This role combines data engineering, analytics, and business intelligence development to transform ...

Senior Data Engineer

Virginia, MN · On-site

$150 - $200/hr

The core mission of the Senior Data Engineer: You will own and evolve our data pipelines on GCP ... You will be part of the Data, Analytics & AI team, collaborating closely with Infrastructure ...

Senior Databricks

Chanhassen, MN · On-site

$124K - $164K/yr

We are seeking a Senior Databricks Analytics Engineer to help design and build a new Databricks-based analytics platform from the ground up. * This individual will work closely with Data & AI ...

Position : Sr. Data Quality Analyst Location : Minneapolis MN Duration : 6+ months Interview format, phone screen followed by F2F Skype is possible Rate As per the market The candidate should have ...

Collaborate with business stakeholders, analysts, and technical teams to gather requirements and ... Utilize source control and DevOps tools such as GitHub, Azure DevOps, and SVN to manage code ...

Senior Data Engineer

Eden Prairie, MN · On-site

$80 - $100/hr

Collaborate with business stakeholders, analysts, and technical teams to gather requirements and ... Utilize source control and DevOps tools such as GitHub, Azure DevOps, and SVN to manage code ...

Senior Data Science Analyst

Rochester, MN · On-site

$87K - $110K/yr

We are seeking a Senior Data Science Analyst (1.0 FTE). This individual will support the Clinical ... A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, health ...

We are seeking a Senior Data Science Analyst (1.0 FTE). This individual will support the Clinical and Economic Evaluation Program within the Kern Center by leveraging statistical, econometric, and ...

New

Senior Data Science Analyst

Rochester, MN · On-site

$87K - $110K/yr

We are seeking a Senior Data Science Analyst (1.0 FTE). This individual will support the Clinical ... A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, health ...

Senior Data Architect

Minneapolis, MN · On-site

$70.25 - $94/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... developers, Business Analysts, and Project Management - to plan and execute PM2PA data-related ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Senior Data Engineer Location: Minneapolis, MN or Madison, WI Duration: 6+ Months Note :Only W2 no ... Build data ingestion, transformation, and analytics-ready datasets * Develop data models and ...

Showing results 21-40

Senior Data Analyst Developer information

What does a senior data analyst developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

What are the key skills and qualifications needed to thrive as a senior data analyst developer?

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.

How does a senior data analyst developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

What are popular job titles related to Senior Data Analyst Developer jobs in Minnesota?

For Senior Data Analyst Developer jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Senior Data Analyst Developer jobs?

Cities in Minnesota with the most Senior Data Analyst Developer job openings:

Infographic showing various Senior Data Analyst Developer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Sr Data Analyst - Planning & Inventory Management

Target

Minneapolis, MN • On-site

$88K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Target rating

6.6

Company rating: 6.6 out of 10

Based on 7,054 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers


Job description

The pay range is $88,000.00 - $158,000.00

Pay is based on several factors which vary based on position.These include labor markets and in some instancesmay include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

About us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision tolife through our values and culture.Learn more about Target here.

As a Sr Data Analyst for Target's Planning & Inventory Management, Data Analytics team you'll leverage data, analytics, and insights to support critical business capabilities including Assortment & Inventory Planning, Forecast Management, In-Season Management, Key Event Management, and Strategy & Enablement. This role partners across planning, inventory, merchandising, and technology teams to transform data into actionable insights and provides recommendations that improve inventory availability, enhance forecasting accuracy, optimize inventory investments, and support profitable growth. Through advanced analytics, reporting, and performance measurement, you will help deliver a joyful Guest experience while enabling efficient inventory management and enterprise decision-making.

Core responsibilities of this job are described within this job description. Job duties maychange at any time due to business needs.

Key Responsibilities:

  • Translate business problems into well-defined analytical questions and structured approaches

  • Support scenario, decision, and action modelling to evaluate business trade-offs and inform recommended actions

  • Partner with Target business stakeholders to understand priorities and roadmaps, validate analytical requirements, and present insights and recommendations with clarity and impact

  • Develop and deliver analytical and AI-driven solutions (including GenAI, Agent, and Agentic approaches) that enable decision support, forecasting, optimization, and automation

  • Apply advanced analytics techniques, including causal, predictive, and prescriptive analytics, to drive deeper understanding of business levers and inform optimal actions

  • Work with large-scale datasets using platforms such as GCP BigQuery, Spark, and SQL-based data warehouses; build and maintain reliable data pipelines using Airflow or similar orchestration tools

  • Contribute to AI-driven analytical workflows, defining quality metrics (e.g., accuracy, relevance), assessing reliability, and measuring tangible business impact

  • Ensure analytical outputs are accurate, scalable, and aligned with business context

  • Develop strong data storytelling skills to communicate insights and recommendations to non-technical audiences

  • Document analytical methodologies, assumptions, and outputs to support reuse and knowledge sharing

  • Adhere to corporate data protection standards and responsible AI practices

About You:

  • BA/BS or equivalent experience (Math, Statistics, Econometrics, Data Sciences, Computer Science, etc.) or equivalent work experience

  • 3+ years of work experience in data analysis or masters level education in business analytics, data science, etc.

  • Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts

  • Proven hands-on experience in BI Visualization tool (i.e. Power BI, Looker, Tableau) with ability to learn additional vendor and proprietary visualizations tools

  • Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets

  • Experience in R, Python, Hive or other open-source languages/database

  • Experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above

  • Git source code management & experience working in an agile environment

  • Strong attention to detail, excellent diagnostic, and problem-solving skills

  • Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines

  • Competent and curious to ask questions and learn to fill gaps, desire to teach and learn

  • Excellent communication, service orientation and strong relationship building skills

  • Experience in Retail, Merchandising, Marketing preferred

  • Experience leveraging Generative AI (GenAI) and LLM-based solutions (e.g., prompt engineering, Retrieval-Augmented Generation - RAG) to enhance data analysis, automate insight generation, and support business decision-making

  • Ability to integrate AI-driven tools and AI-agent workflows into end-to-end analytical processes, enabling automation, improving productivity, and scaling analytics use cases.

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.


What Target employees say

Pay

Benefits

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Workplace

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Target logo

About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US