Minneapolis, MN

Data Jobs in Minneapolis, MN

13 jobs found

Include remote jobs

4d ago

Managed Services - Data Engineer - Experienced Associate

PRICE WATERHOUSE COOPERS Minneapolis, MN

Minneapolis, MN

4d ago

$63k - $140k/yr Full time Analytics Business Intelligence Cloud

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Job Description

PwC's Managed Services unit in Minneapolis invites you to join as an on-site Experienced Associate Data Engineer. This role centers on building data-driven solutions and applying analytics to deliver strategic insights for clients within the Data & Analytics practice, while actively contributing to client engagements. The position offers a salary range of USD 63,000 to 140,000 per year, requires a bachelor’s degree, and demands a minimum of one year of experience.

Responsibilities

Develop and implement data-driven solutions to optimize business performance and enhance competitive advantage, spanning data engineering and ETL processes.
Apply advanced analytics techniques to deliver strategic insights and support informed decision-making for clients, including SQL optimization.
Build and maintain data pipelines to support efficient data collection and analysis using DataStage.
Utilize business intelligence tools such as Oracle Business Intelligence and QlikView to produce comprehensive reports and dashboards (DB2, SQL Server).
Collaborate with team members to gather and analyze data from various sources to identify patterns and trends, leveraging star schemas and dimension modeling.
Apply data architecture development skills to design and maintain robust database management systems with snowflake modeling.
Engage in continuous process improvement to enhance data quality and integrity.
Support client engagement by actively listening and responding to diverse perspectives and needs in regulated environments.
Participate in developing business cases and market development strategies through data analysis and interpretation.
Adapt to a fast-paced environment and take ownership of tasks to consistently deliver high-quality work, including job scheduling and UNIX workstreams.

Requirements

Bachelor's degree required.
Minimum 1 year of relevant experience.

Technologies

DataStage
Oracle BI (Oracle Business Intelligence)
QlikView
DB2
SQL Server
SQL
UNIX
Snowflake
Python
Java
Spotfire

Benefits

Annual discretionary bonus
Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

The Opportunity

Leverage data and analytics to provide strategic insights and drive informed decision-making for clients.
Develop and implement innovative solutions to optimize business performance and enhance competitive advantage within the Data & Analytics practice.
As an Associate, focus on learning and contributing to client engagements and projects while building your skills and delivering quality work.
Engage with clients to learn how to build meaningful connections, manage and inspire others, and grow your personal brand by deepening your technical knowledge of firm services and technology resources.
Apply a learning mindset and take ownership of your development, appreciating diverse perspectives and sustaining performance.
Actively listen, ask questions to confirm understanding, and clearly express ideas.
Gather information from various sources to analyze facts and discern patterns, developing a solid understanding of how the business operates and building commercial awareness.

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9d ago

Databricks Data Engineer

Infosys Minneapolis, MN

Minneapolis, MN

9d ago

$69k - $112k/yr Full time Big Data Data Engineer Data Platform

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Job Description

Location

Minneapolis, Minnesota, onsite

Salary

USD 68,763 - 111,503 per year

Responsibilities

Contribute to the requirements elicitation process by documenting assigned parts of business requirements in line with guidance provided
Facilitate software application design discussions and document design decisions to guide the technical team toward building software solutions
Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
Conduct code reviews, implement changes to the codebase, and manage code repositories
Implement test strategies, analyze results, and coordinate bug fixes to uphold software quality standards
Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects

Requirements

A collaborative spirit and excellent communication skills
The ability to handle end to end SDLC phases from requirement gathering to implementation
A knack for translating complex requirements into actionable development tasks
A passion for design and hands-on coding experience
A proactive approach to testing, troubleshooting, and refining applications
The ability to work with cross-functional teams and perform software integration

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10d ago

Business Intelligence & Data Analyst

University of Minnesota Minneapolis, MN

Minneapolis, MN

10d ago

Full time Analyst Analytics Business Analytics

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Job Description

The University of Minnesota in Minneapolis offers a hybrid work arrangement for professionals joining the student data team as a Business Intelligence and Data Analyst. This role centers on building and maintaining reports and data warehouse solutions using OBIEE and Oracle Analytics Cloud, with a focus on data modeling, ETL, and RPD development to translate data analysis into actionable insights that support enterprise reporting for student data.

Responsibilities

Develop data warehouse subject areas to enable robust business intelligence.
Support end users in the use of the data warehouse and BI platform.
Write and validate test scripts to ensure data integrity and report accuracy.
Design, document, develop, and test reports to meet stakeholder needs.
Maintain and support existing reports to ensure ongoing reliability.
Analyze and interpret data to derive meaningful conclusions.
Collaborate with team members and stakeholders to understand business needs and rules.
Serve as an ASR developer and coordinate with the Office of Information Technology on enterprise-wide student projects.
Design, build, test, document, deploy, and maintain operational and strategic reports.
Support the development of BI solutions and underlying student data warehouse subject areas.
Work with stakeholders to capture business logic and ensure its accurate representation in data analyses.
Analyze data to identify trends and develop data-driven narratives that support student success.
Communicate data findings and insights to diverse stakeholders and provide strategic recommendations.
Create and maintain user documentation and training resources for BI solutions.
Contribute to continuous improvements in the data and analytics strategy and processes.
Engage the student data user community to promote effective use of Student Data Analytics solutions.
Ensure the availability and quality of data and reports to meet service expectations.
Assist in the rapid resolution of production issues.
Develop and maintain subject matter expertise in student data.
Stay current on data, visualization, and analytics trends, topics, and technologies.
The employer reserves the right to change or add duties consistent with the job classification.

Requirements

BA/BS degree with two years of work experience or a master’s degree.
Understanding of relational databases and programming experience.
Intermediate SQL proficiency.
Experience working with complex data sets from multiple sources.

Technologies

OBIEE (Oracle Business Intelligence Enterprise Edition)
Oracle Analytics Cloud (OAC)
SQL
RPD

Preferred Qualifications

Ability to engage stakeholders in data analysis and interpretation in meaningful and effective ways.
Advanced SQL proficiency, including Common Table Expressions (CTEs), window functions, query optimization, and indexing, with a focus on data warehousing principles.
STAR data modeling experience.
Demonstrated ability to translate technical data findings into actionable insights for non-technical stakeholders.
Experience working in higher education.

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11d ago

Data Scientist

US Veterans Health Administration Minneapolis, MN 🇺🇸 Remote

Minneapolis, MN

11d ago

$116k - $151k/yr Full time Analytics Artificial Intelligence Big Data

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Job Description

Join the U.S. Veterans Health Administration as a Data Scientist within the Minneapolis VA Research and Development Service. You will support data, informatics, and technical needs for investigators and staff, helping to advance research data management, EHR integration, database development, and informatics initiatives. This role offers a remote-friendly setup in Minneapolis, MN and a competitive salary in the range of USD 116,038 to 150,852 per year.

Benefits

Comprehensive federal benefits package designed to support you and your family.
Benefits eligibility depends on the position type and whether the role is full-time, part-time, or intermittent.

Responsibilities

Plan, design, and execute programs or studies with minimal supervision under administrative direction.
Develop study designs, methodological approaches, and communicate findings through advanced written, verbal, and visual formats.
Contribute to the design of sophisticated data systems, software, and complex programming specifications.
Analyze electronic health record data to build predictive analytics and process medical imaging when applicable.
Apply high impact AI technologies, including deep learning, trustworthy AI, privacy-preserving AI, explainable AI, and multi-scale AI analysis.
Plan and implement research data strategies for monitoring, analysis, presentation, and interpretation to support study objectives.
Collaborate with biostatisticians and investigators to extract, mine, clean, analyze, and interpret research data; investigate and resolve data inconsistencies with the research team.
Work with large longitudinal medical databases and statistics software platforms (e.g., SAS); use SQL queries and visual programming tools; perform statistical analyses with specialized models or procedures.
Provide interpersonal communications, outreach, acquisitions and procurement, information technology, and financial management to support primary tasks.
Lead or consult with cross-functional teams of federal staff and contractors to develop data-driven solutions for VA programs and business challenges.

Requirements

U.S. citizenship is required to apply; non-citizens may be appointed where qualified citizens cannot be recruited per VA policy.
Selective Service Registration is required for males born after December 31, 1959.
Proficient in written and spoken English.
Subject to a background and security investigation.
Must complete online onboarding; Real ID compliant identification needed after May 7, 2025. Pre-employment documents (I-9) are required.
Participation in the seasonal influenza vaccination program is a requirement for all VA Health Care Personnel.
Submit all required documents as detailed in the application process.
Basic Citizenship requirement: United States Citizenship; non-citizens may be appointed only when no qualified citizens are available per VA policy.
Individual Occupational Requirement: Degree in Mathematics, statistics, computer science, data science, or related field at least bachelor’s level, or an equivalent combination of education and experience (30 semester hours) plus additional education or appropriate experience.
Specialized Experience: One year equivalent to the next lower grade level (GS-12 Data Scientist) for GS-13 consideration.
Selective Placement Factor: Proficiency with SQL, Python, R, or SAS to manage data from large databases.
Preferred Experience: Two years or more in informatics, data analysis, or health information systems; direct experience with research data management, EHR systems, or health IT platforms is strongly preferred.
Physical Requirements: This is primarily a sedentary role.

Technologies

SAS
SQL
Python
R
Visual programming tools
SQL development tools

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13d ago

GENAI / MACHINE LEARNING AI / DATA Scientist

Hudson Manpower Minneapolis, MN 🇺🇸 Remote

Minneapolis, MN

13d ago

Full time AI Ai Ml Amazon Bedrock

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Job Description

Hudson Manpower is seeking a GenAI and Machine Learning Data Scientist with 10+ years of experience to design and prototype AI solutions, including proofs of concept (PoCs) and minimum viable products (MVPs). This position is fully remote, based in Minneapolis, MN, and is W2-only with no H1B sponsorship.

Responsibilities

Develop prototypes, proofs of concept (PoCs), and minimum viable products (MVPs) using AI and GenAI techniques, selecting appropriate tools and methods for each project.
Apply a solid foundation in AI, deep learning, and machine learning to design solutions for complex problems.
Program primarily in Python and leverage libraries and platforms such as Hugging Face, Langchain, and the OpenAI API.
Work with deep learning frameworks including TensorFlow, Keras, and PyTorch to build and refine models.
Leverage cloud AI services and platforms such as Google Model Garden, Amazon Bedrock, and Nvidia Nim to deploy and scale prototypes.
Handle multi-modal data and utilize intelligent agent-based tools as part of AI solutions.
Demonstrate a self-motivated, collaborative, and innovative approach to solving hard AI challenges.

Requirements

No H1B candidates; all other eligible applicants will be considered.
Only W2 employment status.
Minimum 10 years of professional experience in related fields.

Technologies

Python
Hugging Face
Langchain
OpenAI API
TensorFlow
Keras
PyTorch
Google Model Garden
Amazon Bedrock
Nvidia Nim

Benefits

100% Remote

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13d ago

Senior AI Engineer

Deloitte Minneapolis, MN

Minneapolis, MN

13d ago

$128k - $253k/yr Full time Senior Artificial Intelligence Big Data

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Job Description

Senior AI Engineer role with Deloitte in Minneapolis, MN onsite, focusing on designing, deploying, and optimizing AI infrastructure and data architectures for diverse client projects.

Responsibilities

Collaborate with clients to design, develop, and deploy architectures that enable machine learning and automation initiatives.
Apply advanced skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data across cloud or on‑prem environments.
Architect and lead development of scalable, high‑performance data solutions that support client business needs and AI or GenAI use cases.
Refine data architectures, pipelines, and database schemas (Graph, SQL, NoSQL) to enhance algorithm scalability and agile deployment.
Engage in architectural and deployment discussions to ensure solutions scale, are secure, and maintain high availability in cloud or on‑prem setups.
Advance engineering practices in automation, high‑performance computing, and AI/GenAI infrastructure design patterns.
Define and lead technology proofs of concept to validate feasibility of new data and cloud technology solutions.
Demonstrate thought leadership and practical execution toward modern data architecture and technology modernization.
Mentor and coach junior team members on technical best practices and professional development.

Requirements

Bachelor’s degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience.
4+ years in data engineering, data science, software engineering, or MLOps with a focus on AI and machine learning deployment.
4+ years designing cloud solutions and supporting production projects, with hands‑on experience in AWS (or Azure, GCP equivalents).
4+ years programming with Linux Shell/CLI, Python, SQL, PowerShell, or similar languages.
2+ years leading technical delivery teams on complex and critical projects.
2+ years of DevOps experience and working with CI/CD tools such as Puppet, Ansible, Chef, Airflow, Terraform, Jenkins.
2+ years of experience with database development and ETL/ELT pipelines across relational, NoSQL, and graph databases (including Neo4j).
2+ years deploying and optimizing environments using Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow, Kafka, and related tools.
Located within commuting distance to a Deloitte consulting office.
Ability to travel about 10% of the time depending on client engagements.
Limited immigration sponsorship may be available.

Technologies

AWS, Azure, GCP
Linux, Linux Shell/CLI
Python, SQL, PowerShell
Puppet, Ansible, Chef, Airflow, Terraform, Jenkins
Neo4j and graph databases, NoSQL
Kubernetes, Docker
NVIDIA TensorRT, Triton, RAPIDs, Kubeflow, MLflow
Kafka, CUDA, OpenCL

Benefits

Salary: USD 128,000 - 252,500 per year
Discretionary annual incentive program

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18d ago

Senior Data Analyst - Finance

M. A. Mortenson Company Minneapolis, MN

Minneapolis, MN

18d ago

$96k - $145k/yr Full time Senior Analyst Analytics

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Job Description

M. A. Mortenson Company offers a hybrid work arrangement in Minneapolis, MN, with a competitive compensation range and comprehensive benefits. This Senior Data Analyst - Finance role focuses on engineering trusted datasets and semantic models in Microsoft Fabric and Power BI to deliver intuitive, business-ready reporting experiences. You will partner with Finance leaders, data consumers, and cross-functional data teams to translate business questions into governed metrics, performant models, and self-service visuals.

Responsibilities

Participate in cross-functional, collaborative, team-based discussions to align on needs and solutions
Visualization and report development with Power BI: design and build intuitive reports and dashboards that support finance decision-making
Translate requirements into effective visuals, tooltips, drill paths, and narrative elements that highlight key drivers and exceptions
Apply visualization standards for layout, accessibility, and KPI definitions; optimize report performance
Analytics engineering and semantic modeling: design, build, and maintain Power BI and Fabric semantic models that support consistent, trusted reporting
Develop reusable DAX measures and KPI definitions; document metric logic and ensure alignment with Finance definitions
Build and maintain reliable data shaping pipelines (SQL, Power Query, Dataflows Gen2) with reconciliations to validate completeness and accuracy
Platform management and optimization: manage Fabric/Power BI workspaces, semantic models, and refresh processes in coordination with BI platform administrators
Leverage CI/CD practices where available; contribute to release and validation processes
Monitor model and report performance, refresh reliability, and scalability; troubleshoot and implement sustainable fixes
Implement and maintain appropriate security patterns (eg, RLS/OLS), access controls, and governance-aligned practices for Finance reporting
Collaborate with teams to understand reporting requirements and provide training, documentation, and guidance to users
Serve as a trusted resource for ongoing reporting and analytics requests; demonstrate advanced analytical and problem-solving skills
Contribute to long-term BI and data strategy; identify automation opportunities to streamline manual reporting
Support special analytics projects, data quality initiatives, and modernization efforts; stay current with Power BI features and best practices
Develop processes to consume and consolidate large data sets into centralized, sustainable measurements
Review finance data and partner with cross-functional teams to implement corrective actions and long-term solutions
Apply advanced knowledge of Microsoft toolset, data operations practices, and governance
Track and report data quality and data governance KPIs for Finance; provide peer support and informal mentoring as needed
Identify and implement strategic initiatives to enhance analytics capabilities

Requirements

Bachelor’s Degree with 3–5 years of related experience; or a high school diploma/GED with 8+ years of related experience
3–6 years delivering Power BI solutions, including semantic modeling and end-user reporting
Strong command of Power BI (Desktop/Service) and Microsoft Fabric concepts (semantic models, workspaces, refresh, security)
Advanced experience with SQL Server, T-SQL, or database design
Advanced knowledge of DAX and Power Query (M)
Proven experience with dimensional modeling (star schemas), semantic model design, and performance tuning for self-service analytics
Ability to translate business questions into actionable BI solutions
Familiarity with Fabric/Azure data services (Lakehouse/Warehouse concepts, SQL endpoints, Azure SQL, Data Factory/Synapse as applicable)
Superior attention to detail and accuracy
Professional demeanor with strong customer service and communication skills; ability to present data clearly
Ability to manage multiple stakeholder needs while delivering high-quality work on time
Experience with Agile product delivery and sprint planning
Nice to have: Python or R for analytics and data transformations
Nice to have: Git or other version control experience
Nice to have: Microsoft BI or data engineering certifications

Technologies

Microsoft Fabric
Power BI
DAX
Power Query (M)
SQL Server
T-SQL
Dataflows Gen2
Git
Python
R
Lakehouse/Warehouse concepts, SQL endpoints, Azure SQL, Data Factory, Synapse

Benefits

Medical and prescription drug plans with no additional cost vision coverage
Dental plan
401k with a generous Mortenson match
Paid time off, holidays, and other paid leaves
Employer paid Life, AD&D, and disability insurance
No-cost mental health tools and work-life resources
Tuition reimbursement
Adoption assistance
Gym membership discount program

Other items to note

Mortenson reserves the right to hire any individual without legal or financial obligation on unwanted solicitations. No agency emails, calls, or solicitations are accepted without a valid agreement.
Must be legally authorized to work in the United States without sponsorship for employment visa status. Mortenson cannot sponsor or take over sponsorship for an employment visa at this time.