Minneapolis, MN

Data Jobs in Minneapolis, MN

7 jobs found

Include remote jobs

5d ago

Senior Data Analyst - Finance

M. A. Mortenson Company Minneapolis, MN

Minneapolis, MN

5d 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.

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6d ago

Data Analyst

Emergent Staffing Minneapolis, MN

Minneapolis, MN

6d ago

$45 - $55/hr Contract Analyst Analytics Business Analytics

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Job Description

12-month contract Data Analyst role onsite in West Minneapolis focused on BI reporting, dashboards, and analytics in collaboration with technology and business stakeholders, and candidates must be authorized to work in the U.S. without sponsorship.

Responsibilities

Design, sustain, and optimize BI dashboards and reports using Sigma Computing to inform decision making
Create and manage data models; collaborate with stakeholders to capture and document data needs
Collaborate on data infrastructure, visualization, and analytics roadmap initiatives
Conduct ad hoc analyses and deep dives to generate actionable insights
Automate internal and external reporting while maintaining data quality and timeliness
Enhance report performance and streamline data visuals through advanced modeling techniques
Ensure data accuracy, governance, and documentation; assist with validation processes

Requirements

Solid quantitative background with strong analytical, written, and verbal communication skills
Self-starter with strong organizational abilities; capable of managing multiple priorities independently and in a team
At least 2 years of professional experience in analytics or BI development
Proficiency with SQL
Experience with Sigma, Looker, Power BI, or similar BI tools
Willingness to learn and integrate AI into the current technology stack
Experience with data modeling, visualization, and ad hoc analysis
Experience with system integrations, APIs, and performance optimization

Technologies

Sigma
Looker
Power BI
SQL
Python
dbt
LookML
SSRS
Snowflake
DAX

Nice-to-have Skills

Familiarity with DAX, Python, dbt, LookML, SSRS, and Snowflake
Knowledge of financial concepts, investment management, or capital markets
Exposure to commercial real estate concepts
Strong project management capabilities and ability to thrive in a fast-paced, collaborative environment
High attention to detail, accountability, and clear, concise communication

Our Vetting Process

Application submission (about 5 minutes)
Online assessment (approximately 40–60 minutes)
Initial video interview (about 30–45 minutes)
Client video interview (around 45 minutes)
Client onsite interview
Job offer

Work Location

Onsite in West Minneapolis, MN

Compensation

$45 - $55 per hour (USD)

Job Details

Job Type: Contract
Duration: 12 months
Schedule: Onsite four days per week

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8d ago

Senior Data Engineer - AI & Analytics Platform - Hybrid

Allianz Minneapolis, MN

Minneapolis, MN

8d ago

$110k - $151k/yr Full time Senior Analytics Azure Databricks

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Job Description

Allianz Life offers a comprehensive benefits package and a hybrid work arrangement in Minneapolis for the Senior Data Engineer - AI Analytics Platform. The role carries a salary range of USD 110,000 to 151,000 per year and centers on building and maintaining data pipelines and platform components on the Azure and Databricks stack to power AI analytics solutions, with a focus on ingestion, data architecture, security, and performance.

Benefits

A full medical, dental, and vision coverage package
Flexible spending accounts and health savings accounts
Tuition reimbursement
Student loan repayment program
Generous annual leave
Competitive 401(k) with company match
Life insurance
Onsite health center
On-site child development center
On-site fitness facility
On-site convenience store
Two cafeterias
Employee Resource Groups

Responsibilities

Design, implement, and operate platform components such as data connections, pipelines, Databricks Lakeflow jobs, and related CI/CD pipelines using GitHub Actions and the Databricks Declarative Automation Bundle (DABs)
Develop templated data engineering project repositories with a custom CLI to streamline usage by the internal platform team; create and manage Databricks DAB infrastructure-as-code repositories as needed
Ensure high availability, performance, observability, data quality, and cost monitoring through proactive oversight and incident response
Maintain documentation for the internal platform and for external developers using the platform
Mentor junior data engineers, review pull requests, and standardize code quality across the platform
Collaborate with IT, data science, and analytics engineering teams to deliver end-to-end solutions, including provisioning Databricks DAB infrastructure for ingestion and transformation, and supporting DevOps pipelines
Provide SDLC guidance across CI/CD, release management, and environment promotion processes
Offer ad hoc deployment support for Databricks Apps space and Azure App Services; Kubernetes experience is preferred
Evaluate emerging Azure and Databricks services and AI/ML capabilities to drive innovation and continuous improvement
Contribute to data engineering platform governance, including data ethics, compliance, and security best practices
Mentor technical teams and promote architectural standards and reusable patterns
Utilize AI tools and resources, including generative AI, to enhance platform capabilities

Requirements

6+ years of experience in a mix of data engineering, DevOps, and application development roles
Hands-on experience configuring and maintaining Databricks workspaces, ACLs, and related workspace artifacts
Proficiency with Databricks Lakehouse, Spark, Unity Catalog, and Delta tables
Experience with DevOps and SDLC practices in a regulated enterprise environment
Proven ability to create GitHub Actions workflows for promoting code across environments
Experience building data ingestion and transformation pipelines in PySpark, preferably within Databricks
Legal authorization to work in the United States without sponsorship now or in the future

Technologies

Azure
Databricks
Databricks Lakeflow
GitHub Actions
Databricks Declarative Automation Bundle (DABs)
Databricks DAB Infrastructure as Code
Unity Catalog
Delta tables
Spark
PySpark
Databricks Workspaces
ACLs
Azure App Services
Kubernetes

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17d ago

Sr Financial Analyst FP&A, Strategy Finance - LRP & Analytics

Target Minneapolis, MN

Minneapolis, MN

17d ago

$73k - $132k/yr Full time Budgeting Data Analysis Finance

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Job Description

Target offers a compelling compensation package for a Senior Financial Analyst FP&A in Strategy Finance, with a focus on long-range planning and analytics. This onsite role in Minneapolis, MN carries a salary range of USD 73,000 to 132,000 per year. The position also includes a comprehensive benefits slate and a chance to inform enterprise strategy through data-driven insights.

Responsibilities

Manage long-range planning data, models, and tools to support the enterprise long-range plan.
Develop financial insights and analytics that inform strategic decisions at the enterprise level.
Collaborate with senior managers to analyze and model key strategic initiatives, competitive dynamics, growth opportunities, and macro trends.

Requirements

3-5 years of experience in financial planning and analysis, business analytics, or planning.
Strong analytical capabilities with a foundational understanding of income statements, cash flow, and balance sheets.
Experience with financial modeling, budgeting, and reporting.
Curiosity to leverage datasets to uncover insights and tell data-driven business stories.
Ability to distill complex information into clear, actionable recommendations and persuasive presentation materials.
Excellent communication, interpersonal, and relationship-building skills with the ability to collaborate across teams.
Strong organizational, planning, and project-management skills with meticulous attention to detail.

Benefits

Health benefits (medical, vision, dental, life insurance)
401(k)
Employee discount
Short-term disability
Long-term disability
Paid sick leave
Paid national holidays
Paid vacation

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1mo ago

Sr Data Analyst - Digital Ecommerce (Math/Stats, A/B testing, ML)

Target Minneapolis, MN

Minneapolis, MN

1mo ago Closed

$88k - $190k/yr Full time Senior Analyst Analytics

This position is no longer accepting applications (closed Jun 21, 2026).

Job Description

Target’s Digital Analytics & Insights team is seeking a Senior Data Analyst to guide data-driven decisions across its digital ecommerce landscape. Based in Minneapolis with a hybrid work setup, you will blend statistical rigor, A/B testing, and AI-enabled analytics to optimize online performance and propel growth. The role offers a salary range of USD 88,000 to 190,000 per year and requires a bachelor’s degree with at least three years of experience in a quantitative field.

Responsibilities

Apply cutting-edge analytics platforms, automated data workflows, and formal methodologies to support reporting and performance measurement.
Partner with product, engineering, and other cross-functional teams to identify trends, refine digital strategies, and present actionable recommendations for growth.
Turn data, statistical techniques, and visualization into actionable insights that drive value across multiple business functions.
Develop detailed reports and dashboards across diverse tools, and design visualizations that clearly communicate complex data.
Prepare data models and analyses to identify patterns and opportunities within large, complex datasets.
Hands-on data extraction, transformation, and visualization; manage large datasets, build scalable reports, and simplify data to support swift decision-making.
Collaborate with digital technology and data engineering teams to understand data needs and deliver solutions that ensure data integrity and accuracy.
Maintain data accuracy, consistency, and security across all reports and analyses.
Apply advanced analytics and AI-driven approaches, including predictive modeling and machine learning, to improve decision-making.
Foster positive partner relationships to understand data needs, provide insights, and ensure reporting solutions align with key objectives.

Requirements

Bachelor’s degree or equivalent experience.
Minimum three years of data analytics experience in a business setting with a strong quantitative background.
Proficiency in SQL with the ability to write complex queries, and experience with Python or R.
Hands-on experience with analytics and data tools such as SQL, Hadoop, Hive, Spark, Power BI, and Adobe Analytics or Google Analytics, among similar technologies.
Familiarity with A/B testing methods and time-series forecasting, including statistical analysis.
Ability to create detailed reports and dashboards, and to design visualizations that clearly communicate data trends and opportunities.
Experience applying predictive modeling, machine learning, or AI-enabled tools to inform decisions.
Strong collaboration with cross-functional teams to understand data needs and deliver solutions that ensure data integrity and accuracy.
Excellent communication skills, capable of translating technical concepts to business audiences and vice versa.
Commitment to cultivating positive partner relationships and delivering reporting that addresses key objectives.

Technologies

SQL
Hadoop
Hive
Spark
Power BI
Adobe Analytics
Google Analytics
Python
R

Benefits

Comprehensive health benefits (medical, vision, dental, life insurance)
401(k) plan
Employee discount
Short term disability
Long term disability
Paid sick leave
Paid national holidays
Paid vacation

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)

Target complies with state and federal laws to provide reasonable accommodations for applicants with disabilities. If you require a reasonable accommodation to participate in the job application or interview process, please contact candidate.accommodations@HRHelp.Target.com. Non-accommodation-related inquiries, such as application follow-ups or technical issues, should not be directed to this email.

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1mo ago

Sr Data Analyst - FP&A Reporting & Analytics

Target Minneapolis, MN

Minneapolis, MN

1mo ago Closed

$88k - $158k/yr Full time Senior Analyst Analytics

This position is no longer accepting applications (closed Jun 21, 2026).

Job Description

Target seeks a Senior Data Analyst for FP&A Reporting & Analytics in Minneapolis, MN (hybrid), focused on standardized financial reporting across FP&A and the design, automation, and enhancement of reporting solutions to support scalable analytics.

Responsibilities

Produce standardized, accurate FP&A financial reporting that delivers actionable insights.
Collaborate with finance leaders and business stakeholders to design and automate reporting solutions that enable data driven decisions.
Provide scalable reporting, dashboards, and analytical insights to multiple FP&A functions including Merch Finance, Marketing, Stores, Supply Chain, Corporate Finance, and Capital.

Requirements

Four-year degree or equivalent experience
3+ years as a Data Analyst with strong quantitative coursework or equivalent experience
Advanced SQL experience with complex query writing
Proficiency in Python or R
Knowledge of forecasting models and statistical analysis
Advanced data visualization skills with the ability to build interactive, executive-ready dashboards in Power BI, Looker, Tableau, or similar tools
Strong problem solving, analytical thinking, data curiosity, data mining, data creation, and data consolidation capabilities
Ability to support conclusions with clear storytelling using descriptive statistics, basic inferential statistics, and visualizations
Willingness to ask questions about business objectives and measurement needs, and to define objectives and key results
Excellent communication skills to bridge business and technical teams
Experience with analytics tools such as SQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies

Technologies

SQL
Excel
Hadoop
Hive
Spark
Python
R
Domo
Adobe Analytics
Google Analytics
Power BI
Looker
Tableau

Benefits

Health benefits (medical, vision, dental, life insurance and more)
401(k)
Employee discount
Short-term disability
Long-term disability
Paid sick leave
Paid national holidays
Paid vacation

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.

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2mo ago

Senior Data Engineer (Azure & Databricks)

Emergent Staffing Minneapolis, MN

Minneapolis, MN

2mo ago Closed

Contract Senior Azure Data Factory Azure Databricks

This position is no longer accepting applications (closed Jun 10, 2026).

Job Description

Emergent Staffing is seeking a Senior Data Engineer with Azure Databricks expertise to design, build, and optimize a medallion based data platform and pipelines. This contract role is hybrid in Minneapolis, MN, and spans 6+ months. You will work with Delta Lake, Unity Catalog, and cloud data services to deliver analytics ready datasets in collaboration with analytics teams and business stakeholders.

This position emphasizes a collaborative culture and practical impact, with a focus on scalable architecture, governed data zones, and readiness for AI and machine learning initiatives. You'll automate deployments with Azure DevOps, integrate external data sources via REST APIs and SFTP, and support data factory pipelines, shaping data services used across the organization.

Responsibilities

Design, develop, and optimize data pipelines in Azure Databricks using PySpark and SQL, applying Delta Lake and Unity Catalog best practices.
Build modular, reusable libraries and utilities within Databricks to accelerate development and standardize workflows.
Implement Medallion architecture (Bronze, Silver, Gold) for scalable, governed data zones.
Ingest external data sources via REST APIs, SFTP file delivery, and SQL Server Managed Instance, with validation, logging, and schema enforcement.
Utilize parameter driven jobs and manage compute using Spark clusters and Databricks serverless.
Collaborate with data analytics teams and business stakeholders to understand requirements and deliver analytics ready datasets.
Monitor and troubleshoot Azure Data Factory pipelines (jobs, triggers, activities, data flows) to identify and resolve failures and data issues.
Automate deployments and manage code using Azure DevOps for CI/CD, version control, and environment management.
Contribute to documentation, architectural design, and continuous improvement of data engineering best practices.
Support the design and readiness of the data platform for AI and machine learning initiatives.

Requirements

Strong expertise with Azure Databricks, including PySpark, Delta Lake, Unity Catalog, and the ability to build reusable libraries, utility notebooks, and parameterized jobs.
Advanced SQL skills with experience working in Azure SQL Database and/or SQL Server Managed Instance.
Experience designing, troubleshooting, and supporting data pipelines using Azure Data Factory.
Proven ability to integrate external data sources, including REST APIs and SFTP.
Working knowledge of Azure DevOps for CI/CD, version control, and parameterized deployments.
Demonstrated experience partnering closely with data analytics teams and business stakeholders, supported by strong communication, problem solving, and collaboration skills.
Interest or experience in preparing data platforms to support AI and machine learning initiatives.

Technologies

Azure Databricks
PySpark
Delta Lake
Unity Catalog
SQL
Azure SQL Database
SQL Server Managed Instance
Azure Data Factory
Spark
Azure DevOps
REST APIs
SFTP
Power BI

Our Vetting Process

Application (5 minutes)
Online Assessment (40 minutes)
Initial Phone Interview (30-45 minutes)
Virtual Interview with Hiring team
Onsite Interview
Job Offer

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Data Jobs in Minneapolis, MN

Senior Data Analyst - Finance

Data Analyst

Senior Data Engineer - AI & Analytics Platform - Hybrid

Sr Financial Analyst FP&A, Strategy Finance - LRP & Analytics

Sr Data Analyst - Digital Ecommerce (Math/Stats, A/B testing, ML)

Sr Data Analyst - FP&A Reporting & Analytics

Senior Data Engineer (Azure & Databricks)

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