Eden Prairie, MN

Data Jobs in Eden Prairie, MN

11 jobs found

Include remote jobs

9d ago

Senior Data Analyst

Eden Prairie Schools Eden Prairie, MN

Eden Prairie, MN

9d ago

$101k - $112k/yr Full time Senior Analytics Business Analytics

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Job Description

Eden Prairie Schools is hiring a Senior Data Analyst to support districtwide reporting, analysis, forecasting, and decision support aimed at improving student outcomes and strengthening operational effectiveness. In this onsite role in Eden Prairie, Minnesota, you will turn complex data into clear insights that district and school leaders can use for strategic planning across academics, operations, and student services.

What you’ll do

Lead districtwide data analysis, reporting, forecasting, and decision-supported efforts.
Transform data into actionable insights that improve student outcomes, operational efficiency, and organizational effectiveness.
Support team members through project management.
Serve as a thought partner to district leadership by developing dashboards.
Conduct advanced analyses and identify trends.
Support data-informed decision-making across academics, operations, and student services.
Translate complex information into practical recommendations for school and district leaders.

Requirements

Bachelor’s degree in Data Analytics, Statistics, Information Systems, Computer Science, Business Analytics, or a related field (required).
Scrum, Kanban, or other Agile certification (preferred).
Minimum of five (5) years of progressively responsible experience in data analysis, business intelligence, strategic analytics, and facilitating a small team.
Advanced proficiency with SQL, Excel, Python, and data visualization tools.
Experience with predictive analytics or statistical modeling.
Strong written, presentation, and interpersonal communication skills.
Strong analytical and problem-solving abilities.
Ability to communicate technical information clearly to non-technical audiences.
High attention to detail and commitment to data accuracy.
Strong organizational and project management skills.
Ability to build trust and collaborative relationships with leaders and staff.

Tools & technologies

SQL
Excel
Python
Data visualization tools

Salary & benefits

Salary: USD 101,127 - 111,627 per year (AST Level L), based on experience and qualifications.
Vacation: 25 days per year.
Holidays: 12 paid holidays each year.
Life insurance: Fully paid by the employer for an amount equal to twice the employee’s annual salary.
Long term disability: Fully paid by the employer.
Medical/hospitalization insurance: Available per AST agreement.
Family medical contribution: District contribution up to $1,673 per month for family coverage.
Dental insurance: Fully paid by the employer for family coverage.
Sick leave: 14 days per year cumulative to 254 days.
Tuition reimbursement: 50% tuition for up to 9 credits per fiscal year for pre-approved coursework.

Salary and benefits package note: This is an unofficial summary of benefits. All items are conditioned by more extensive qualifying provisions as detailed in the agreement between the Administrative Supervisory Technical Employees (AST) and Eden Prairie School District.

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17d ago

Data Analyst 2

Optum Eden Prairie, MN 📍 United States Remote

Eden Prairie, MN

17d ago

$73k - $130k/yr Full time 3d Design Tools Alteryx Analytics

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Job Description

Optum is hiring a Data Analyst 2 to help drive outcomes of studies through rigorous analysis, review, forecasting, trend identification, and clear presentation of insights for operational and business planning. This role will also take ownership of savings logic governance for Provider Education, partnering across internal teams and external collaborators to keep logic, reporting, and performance communication consistent.

The position is based in Eden Prairie, MN with remote work available. The target salary range is USD 72,800 - 130,000 per year, and the minimum experience requirement is 3 years.

What you’ll do

Own the savings logic for Provider Education as the central point of responsibility
Align methodologies between Matrix Partners
Provide transparency and consistency of savings logic to internal and external stakeholders
Support Provider Education programs with data integrity, reporting, and logic-related issue resolution
Serve as a liaison between Matrix Partners and ensure alignment with PE operational leadership
Translate savings logic and explain program methodology to internal matrix partners for consistent understanding of performance metrics
Communicate savings methodology, identification logic, and program performance to external clients, including Coding, Finance, and Audit leadership
Ideate and support the development of dashboards and reporting solutions to improve visibility into PE performance, leveraging AI capabilities
Partner with PE Operations and development resources to intake new coding modules and perform savings estimation
Execute ad-hoc scripts that support invoicing and report values to Finance

Minimum qualifications

3+ years of Microsoft SQL coding experience, including writing queries and creating schemas or maintaining tables (or similar)
3+ years of SQL Server Management Studio experience (or similar)
3+ years of Microsoft Excel
3+ years of Tableau (or similar data visualization tools)
3+ years of Alteryx (or similar ETL and transformation tools)

Tools and technologies

Microsoft SQL
SQL Server Management Studio
Microsoft Excel
Tableau
Alteryx
Amazon Redshift

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

Preferred qualification

Amazon Redshift

Application deadline

This role will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. The job posting may come down early due to volume of applicants.

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1mo ago

Data Analytics Engineer

Josh Pros Eden Prairie, MN

Eden Prairie, MN

1mo ago Closed

Full time Analytics Big Data Business Intelligence

This position is no longer accepting applications (closed Sep 4, 2026).

Job Description

At Josh Pros, this onsite role focuses on end-to-end analytics for complex problem spaces, turning ambiguous business requests into structured analysis, KPIs, and decisions. You will design scalable SQL and Python transformations, create analytics-ready data models, and deliver executive-ready dashboards and data products. The work also includes data quality and governance, mentoring support for junior analysts, and participation in additional Capital Data Engineering initiatives.

Based in Eden Prairie, MN, you will partner across teams to communicate insights through data storytelling and to help improve team standards over time.

What you’ll do

Own end-to-end analytics by translating ambiguous business needs into structured analyses, KPIs, and actionable insights.
Design and develop scalable data queries and transformations using SQL, Python, and Databricks on large, distributed datasets.
Build and optimize data models to support high-performance analytics and reporting at scale.
Create executive-ready dashboards and data products that support self-service and decision support.
Collaborate cross-functionally to drive decisions through data storytelling.
Ensure data quality, governance, and analytics best practices, while mentoring junior analysts and elevating team standards.

What you bring

Must have: SQL
Must have: Python
Must have: Big Data
Must have: Databricks
Good to have: Snowflake
Good to have: Machine Learning (ML)
Strong data modeling for high-performance analytics and reporting at scale.
Experience building dashboards and data products for self-service and decision support.
Strong data storytelling and cross-functional collaboration skills.
Mandatory for all contractors: maintain 90%+ weekly usage of enterprise-approved AI tools such as GitHub Copilot and Microsoft 365 Copilot.
Use AI tools to enhance coding, documentation, data analysis, and decision-making workflows.
Stay current with evolving AI capabilities to improve delivery quality and velocity.

Technologies

SQL
Python
Databricks
Snowflake
Machine Learning (ML)
GitHub Copilot
Microsoft 365 Copilot

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1mo ago

Principal Data Scientist

UnitedHealth Group Eden Prairie, MN 🇺🇸 Remote

Eden Prairie, MN

1mo ago Closed

$113k - $193k/yr Full time Senior Artificial Intelligence Big Data

This position is no longer accepting applications (closed Aug 22, 2026).

Job Description

As a Principal Data Scientist at UnitedHealth Group, based in Eden Prairie, MN with remote work flexibility across the United States, you will lead the design and delivery of advanced AI, ML, and Generative AI systems within Optum AI. The role offers a salary range of USD 112,700 to 193,200 per year and requires a four days per week in-office commitment for hires located in Minneapolis or Washington DC.

Responsibilities

Guide the design and deployment of cutting edge AI and ML systems employing deep learning, representation learning, time-series modeling, survival analysis, and probabilistic modeling to tackle complex healthcare challenges
Develop Generative AI and LLM driven solutions, including retrieval augmented generation pipelines, domain adapted LLMs, and AI copilots to optimize enterprise workflows
Architect scalable AI and ML architectures, covering feature engineering pipelines, feature stores, model training workflows, serving infrastructure, monitoring capabilities, and automated retraining pipelines
Develop agentic AI and autonomous workflows using agent frameworks, agentic skills, Model Context Protocol MCP integrations, and agent-to-agent communication patterns
Advance model evaluation, reliability, and monitoring strategies including offline metrics, LLM benchmarking, safety testing, measures to mitigate hallucinations, and drift detection
Promote responsible AI practices with a focus on explainability, interpretability, bias detection, fairness assessments, and governance aligned to corporate and regulatory standards
Serve as a senior technical authority in AI and ML, mentoring data scientists and reviewing advanced modeling approaches and architectures
Collaborate with engineering, platform, and product teams to operationalize scalable AI, ML, and GenAI solutions within enterprise platforms

Requirements

More than 10 years of experience in machine learning, artificial intelligence, or applied data science, with at least 7 years designing and deploying production ML systems
At least 8 years of Python based ML development using frameworks such as PyTorch, TensorFlow, or equivalent, complemented by strong SQL skills
Minimum 5 years deploying production ML systems including model serving, monitoring, lifecycle management, and collaboration with engineering teams
At least 3 years building Generative AI or LLM driven applications, including prompt engineering, RAG pipelines, LLM evaluation, and safety guardrails
At least 1 year building or evaluating agentic AI systems including AI agents, agentic skills, Model Context Protocol MCP, agent-to-agent interactions, or autonomous workflows

Technologies

Python
PyTorch
TensorFlow
Spark
Databricks
Ray
Kubernetes
AWS
Azure
GCP

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

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1mo ago

Senior Data Engineer

Optum Eden Prairie, MN 🇺🇸 Remote

Eden Prairie, MN

1mo ago Closed

$92k - $164k/yr Full time Senior Azure Data Factory Big Data

This position is no longer accepting applications (closed Aug 14, 2026).

Job Description

The Senior Data Engineer role at Optum focuses on designing, developing, and maintaining enterprise ETL pipelines for Medicaid analytics and the enterprise data warehouse, leveraging Azure, Python, Spark, and cloud data technologies.

Location and Compensation

Location: Eden Prairie, MN (remote). Salary: USD 91,700 - 163,700 per year.

Responsibilities

Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory, Informatica PowerCenter, and Python-based frameworks
Build and optimize scalable data processing solutions with Python, Spark, and Databricks
Support Medicaid analytics and federal reporting initiatives (T MSIS, PERM, MARS, Quality of Care)
Develop robust data validation, reconciliation, and auditable data pipelines
Write and optimize SQL and stored procedures across relational platforms such as Snowflake, Oracle, and SQL Server
Participate in cloud migration and modernization initiatives within Azure-based architectures
Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness
Follow data engineering best practices for performance, reliability, reusability, and security
Support production operations, incident resolution, and root cause analysis
Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub

Requirements

5+ years of data engineering experience with a focus on enterprise data warehousing
5+ years of hands-on ETL development using Informatica PowerCenter, Azure Data Factory, or similar tools
5+ years of Python development for data engineering and automation
5+ years of Teradata experience
3+ years of experience with Spark based processing frameworks (Databricks or equivalent)
Solid SQL expertise and experience with relational databases (such as Snowflake, Oracle, SQL Server)
Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)
Proven solid analytical, problem solving, and troubleshooting skills
Ability to travel periodically based on project or customer needs

Technologies

Python
Azure Data Factory
Informatica PowerCenter
Spark
Databricks
Azure
Snowflake
Oracle
SQL Server
Teradata
Azure DevOps
GitHub
CI/CD
PowerShell
Bash
REST API

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase
401k contribution

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2mo ago

Principal AI / Machine Learning Data Engineer

UnitedHealth Group Eden Prairie, MN 🇺🇸 Remote

Eden Prairie, MN

2mo ago Closed

$113k - $193k/yr Full time Ai Ml Analytics Artificial Intelligence

This position is no longer accepting applications (closed Aug 1, 2026).

Job Description

The Principal AI / Machine Learning Data Engineer role at UnitedHealth Group focuses on designing and building end-to-end AI pipelines for large-scale unstructured data to enable advanced analytics and Generative AI. Located in Eden Prairie, MN with remote work options, this position sits at the crossroads of data engineering and AI, delivering production-grade data platforms and scalable AI capabilities.

Responsibilities

Design, implement, and sustain scalable data pipelines and platforms that support analytics, machine learning, and AI initiatives
Develop and optimize ingestion frameworks for both structured and unstructured data, including streaming and event-driven sources
Collaborate with cross-functional partners to understand evolving data and AI needs and define long-term technical roadmaps
Support and enable ML and AI workflows, including feature engineering, data preparation, and model deployment assistance
Lead strategic programs around Generative AI, data quality, observability, lineage, and governance
Create and maintain frameworks that enable rapid experimentation and deployment of AI/ML solutions
Promote and evolve best practices in data modeling, orchestration, testing, and monitoring
Identify opportunities to improve platform scalability, performance, and cost efficiency
Partner with product, analytics, and infrastructure teams to deliver impactful data and AI solutions
Develop reusable parsing, enrichment, analytics, and service libraries to accelerate delivery across teams
Operate effectively under time-sensitive conditions while ensuring thoroughness and accuracy
Maintain high ethical standards, objectivity, and confidentiality in all work
Build and operate production data platforms and pipelines across batch and streaming workloads
Hands-on engineering in Python and SQL, with experience in JVM languages (Java/Scala) within Spark ecosystems
Work with distributed processing and lakehouse/warehouse patterns (for example Spark/PySpark, Databricks, Snowflake)
Develop pipelines for OCR, document parsing, and text extraction from image-based or scanned data
Enable production Generative AI solutions, including retrieval patterns and evaluation/monitoring practices
Adopt knowledge-centric data approaches (metadata-driven systems, entity resolution, graph concepts) to improve discoverability
Maintain a data quality, observability, and monitoring mindset with profiling, validation, alerting, and reliability improvements
Orchestrate, implement CI/CD, containerization, and infrastructure-as-code with tools such as Airflow, GitHub Actions, Docker, Terraform, and Kubernetes
Work in cloud environments (AWS, Azure, or GCP), ensuring secure handling of sensitive data (PII/PHI) and collaboration with compliance teams
Provide leadership through influence, mentor engineers, and translate ambiguous problems into scalable technical roadmaps

Requirements

Bachelor's degree or equivalent experience
5+ years designing, building, and operating scalable data pipelines and platforms (batch and streaming)
2+ years deploying Generative AI solutions to production (for example RAG, LLM-powered pipelines, semantic search)
Strong hands-on development experience in Python and SQL, with Spark/PySpark and Databricks or similar distributed platforms
Experience building ingestion and processing frameworks for unstructured data, including OCR, documents, and images, with parsing and enrichment
Proficiency with cloud platforms (AWS, Azure, GCP), DevOps/CI/CD, and infrastructure-as-code, including secure handling of sensitive data
Proven ability to design scalable solutions, implement data quality and observability practices, and collaborate with diverse stakeholders

Technologies

Python
SQL
Spark
PySpark
Java
Scala
Databricks
Snowflake
AWS
Azure
Google Cloud Platform (GCP)
Kafka
Kinesis
Event Hubs
Airflow
GitHub Actions
Docker
Terraform
Kubernetes
Delta Lake
Plotly
Seaborn
Chartjs
Great Expectations
Deequ

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase opportunities
401k contribution

Preferred Qualifications

Experience with cloud platforms such as AWS, Azure, or Google Cloud, including managed data services
Experience with streaming and event-driven architectures (Kafka, Kinesis, Event Hubs)
Experience with data quality and validation frameworks and data observability tooling
Experience enabling MLOps practices, including feature stores, model registries, experiment tracking, and deployment automation
Experience with lakehouse architectures, Delta Lake, and Spark performance tuning
Experience with data visualization libraries such as Plotly, Seaborn, and Chartjs
Experience with machine learning and predictive analytics
Familiarity with security and privacy concepts for data platforms and collaboration with compliance partners
Strong hands-on Python and SQL skills; familiarity with Java/Scala in Spark ecosystems

Application Deadline

The posting will remain active for at least two business days or until a sufficient candidate pool is reached. The listing may be withdrawn earlier if applicant volume is high.

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2mo ago

Senior Data Analytics Engineer - Remote

Optum Eden Prairie, MN 🇺🇸 Remote

Eden Prairie, MN

2mo ago Closed

$92k - $164k/yr Full time Senior Analytics Azure

This position is no longer accepting applications (closed Jul 22, 2026).

Job Description

This is a remote Senior Data Analytics Engineer role based in Eden Prairie, MN, supporting Optum's Fraud Retrospective Product within the Optum Payment Integrity organization. The position offers an annual salary range of USD 91,700 to 163,700, with a minimum of 1 year of relevant experience.

Responsibilities

Provide realistic effort estimates and project timelines for development and support initiatives.
Translate business requirements and functional specifications into technical designs and documentation.
Build analytics processes aligned with established standard structures and macros.
Develop solutions suitable for production deployment.
Perform data extraction and research studies, including analysis, review, trend assessment, and presentation of findings to support ad hoc data requests per specifications.
Collaborate with business engagement leaders and technical analysts to create new or update existing process documentation and templates.
Analyze data elements within current source data mart schemas.
Examine healthcare claim data from multiple sources to identify data integrity issues.
Conduct unit, system, and regression testing to ensure quality.
Tune performance of existing applications and analytic workflows.
Provide guidance to developers to enhance efficiency and coding practices.
Share knowledge on technologies and serve as a technical expert within the team.
Lead and mentor both new and existing team members.
Continuously identify production process deficiencies, propose improvements, and implement enhancements to boost productivity or reduce manual effort.

Requirements

At least three years of experience with SAS.
Three or more years of relational database experience with Oracle, Teradata, MySQL, or Snowflake.
Three or more years of experience in analysis, process improvement, problem solving, and critical thinking.

Technologies

SAS
SAS Grid
UNIX
Azure
Python
Scala
Spark
Databricks
SQL
VS Code
GitHub Copilot

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase plan
401(k) contribution

Application Deadline

This job posting will remain active for a minimum of two business days or until a sufficient candidate pool has been collected. The posting may be closed earlier if there is a high volume of applicants.