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Data Analyst Github Jobs in Minnesota (NOW HIRING)

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · On-site

$108K - $146K/yr

Demonstrated analytical and troubleshooting skills, with the ability to diagnose pipeline failures ... experience with GitHub version control systems including code merges and cross environment ...

Augeo Affinity Marketing

QA Analyst

Saint Paul, MN · On-site

Diverse skills, including novice data querying skills such as SQL, JMeter, and Selenium familiarity ... Familiarity with AI coding assistants (GitHub Copilot, Cursor, Claude Code, or similar tools) is a ...

Augeo Affinity Marketing, Inc.

QA Analyst

Saint Paul, MN · On-site +1

Diverse skills, including novice data querying skills such as SQL, JMeter, and Selenium familiarity ... Familiarity with AI coding assistants (GitHub Copilot, Cursor, Claude Code, or similar tools) is a ...

Augeo

QA Analyst

Saint Paul, MN · On-site

$65K - $80K/yr

Diverse skills, including novice data querying skills such as SQL, JMeter, and Selenium familiarity ... Familiarity with AI coding assistants (GitHub Copilot, Cursor, Claude Code, or similar tools) is a ...

TriOptus LLC

.NET & Spark Developer

Minneapolis, MN · On-site

... GitHub Actions (CI/CD) • Docker and Kubernetes Preferred Skills: • MongoDB • Java • Data ... Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering ...

Syntricate Technologies

Java Devevloper

Minneapolis, MN · On-site

$53.25 - $69/hr

... analysis, Cross-browser testing, API testing and Test Data Management. Adhere to best practices ... GitHUB Copilot. * Good communication skills. * Work well in a team environment. * Base-level ...

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All JobsData Analyst Github JobsData Analyst Github Jobs in Minnesota

Data Analyst Github information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do data analyst github jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data analyst github in Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

How does a Data Analyst at GitHub typically collaborate with engineering and product teams?

At GitHub, Data Analysts frequently work alongside engineering and product teams to translate business questions into actionable data insights. They participate in cross-functional meetings, help define key metrics, and build dashboards or reports tailored to the needs of different stakeholders. Effective collaboration requires strong communication skills, as analysts must explain complex data findings to both technical and non-technical colleagues. This collaborative environment fosters continual learning and often provides opportunities to contribute to strategic decisions that impact the direction of products and features.

What are the key skills and qualifications needed to thrive as a Data Analyst on GitHub, and why are they important?

To thrive as a Data Analyst on GitHub, you need strong analytical skills, experience in statistics, and proficiency in data manipulation using languages like Python or SQL, often backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), Git version control, and GitHub workflows is essential, and certifications in data analysis or related fields are advantageous. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating on open-source projects and sharing insights. These competencies enable accurate data-driven decision-making, efficient project collaboration, and impactful contributions to the GitHub community.

What are Data Analysts on GitHub?

Data Analysts on GitHub are professionals or contributors who use the platform to share, collaborate, and manage data analysis projects. They leverage GitHub to store datasets, share scripts and code (often in languages like Python or R), and document their analyses using tools like Jupyter Notebooks or Markdown. GitHub enables Data Analysts to version-control their work, collaborate with others through pull requests and issues, and showcase their portfolios to potential employers or collaborators.

What is the difference between Data Analyst Github vs Data Scientist?

AspectData Analyst GithubData Scientist
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; proficiency in SQL, Excel, and visualization toolsBachelor's or Master's in Data Science, Computer Science, or related; knowledge of programming languages like Python or R, machine learning
Work EnvironmentCollaborates with teams to analyze data, create dashboards, and support decision-makingBuilds models, develops algorithms, and performs advanced statistical analysis
Employer & Industry UsageUsed across industries for reporting, data visualization, and business insightsApplied in AI, predictive modeling, and complex data analysis projects

While both roles involve working with data, Data Analyst Github focuses on data visualization, reporting, and supporting business decisions, often using tools like SQL and Excel. Data Scientists perform advanced analytics, build predictive models, and require programming skills in Python or R. The roles overlap in data handling but differ in complexity and technical depth.

What are popular job titles related to Data Analyst Github jobs in Minnesota? For Data Analyst Github jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Analyst Github jobs in Minnesota look for? The top searched job categories for Data Analyst Github jobs in Minnesota are:
What cities in Minnesota are hiring for Data Analyst Github jobs? Cities in Minnesota with the most Data Analyst Github job openings:
Data Analyst Github jobs near you
Senior Data Engineer

Senior Data Engineer

UnitedHealth Group

Eden Prairie, MN • On-site

$108K - $146K/yr

Full-time

Retirement

Posted 20 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

189th of 877 rated healthcare providers

Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale.Join us to start Caring. Connecting. Growing together.
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:
  • Collaborate closely with product owners, business users, and stakeholders to translate data product and reporting requirements into scalable, reliable data engineering solutions, incorporating feedback iteratively throughout the delivery lifecycle
  • Design, develop, and maintain end to end data pipelines across staging, integration, and consumption layers, leveraging Azure Data Factory, DBT, Snowflake SQL, and metadata driven frameworks
  • Develop and optimize high performance SQL queries, views, and stored procedures to support analytics, reporting, and provide guidance to analytics team members on effective and cost-efficient usage
  • Architect, Develop and support data integration processes including batch file ingestion and automated extracts
  • Partner with internal stakeholders to understand business objectives, study requirements, and identify appropriate technical solutions, integration patterns, and data models that balance performance, scalability, and maintainability
  • Serve as a technical subject matter expert and mentor, providing training, design guidance, and code reviews for associates on data engineering best practices, Snowflake optimization, and ADF/DBT pipeline design
  • Author and maintain detailed technical documentation, including data mappings, record layouts, file specifications, interface contracts, workflow diagrams, and operational runbooks for data loads and extracts
  • Continuously evaluate and improve data quality, monitoring, and operational efficiencies
  • Collaborate with business and technical partners to support data acquisition initiatives, including onboarding new data sources, developing business justifications, and executing secure, compliant data transfers
  • Communicate complex technical concepts clearly through written documentation, presentations, and discussions with audiences ranging from technical teams to senior leadership
  • Foster a collaborative, inclusive environment that promotes knowledge sharing, continuous improvement, and professional development across the team
  • Demonstrated ability to work independently, manage multiple priorities, and adapt to evolving business and technology requirements
  • Demonstrated analytical and troubleshooting skills, with the ability to diagnose pipeline failures, data anomalies, and performance bottlenecks

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • High School Diploma/GED OR equivalent experience
  • 8+ years of hands-on data engineering experience, with an emphasis on enterprise data warehousing and ETL architecture
  • 8+ years of ETL development experience designing and building pipelines, dataflows using Azure Data Factory and/or Snowflake, including parameterized and metadata driven designs
  • 8+ years of experience using Snowflake database including creating data ingestion and extraction through stored procedures and leveraging Snowflake native utilities
  • 8+ years of experience with GitHub version control systems including code merges and cross environment deployments using CD/CI pipelines
  • 8+ years of Python experience, particularly for data processing, orchestration, or validation workflows
  • 8+ years of experience designing or consuming APIs and service based integrations (REST) within Snowflake or ADF based workflows
  • 5+ years of scripting experience (Batch, PowerShell, or similar) to support automation and operational tasks specifically on Azure platform
  • Experience processing both structured and semi structured data (e.g., fixed width files, delimited files, JSON, XML)

Preferred Qualifications:
  • Hands-on expertise in Power BI, including:
    • DAX
    • Semantic model design
    • Performance tuning
    • .Net development experience

*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 - $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
#RPO #GREEN

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