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Data Analyst Github Jobs in Minnesota (NOW HIRING)

Design, train, and validate traditional predictive and analytical machine learning models ... Familiarity with containerization technologies (Docker) and version control workflows (Git, GitHub ...

Databricks Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Airflow Kubernetes /Snowflake AI/ML (model deployments) Preferred Skill and Experience Data Analytics Skill / Health Care domain Github (CI/CD) Understanding of Agile software development frameworks ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Experience using GitHub, pull requests, and CI/CD pipelines * Experience with one or more of the ... Build data ingestion, transformation, and analytics-ready datasets * Develop data models and ...

AI Engineer - AI/ML

Minnetonka, MN · On-site

$116K - $140K/yr

Apply MLOps best practices: model versioning, drift analysis, quantization, MLFlow ... using GitHub/Git * Ensure compliance with security and governance standards for healthcare data

AI Engineer - AI/ML

Minnetonka, MN · Hybrid

$116K - $140K/yr

Apply MLOps best practices: model versioning, drift analysis, quantization, MLFlow ... using GitHub/Git * Ensure compliance with security and governance standards for healthcare data

Azure Synapse Analytics (Pipelines, Spark Pool, Dedicated SQL Pool) * Azure Data Lake Storage Gen2 ... CI/CD pipelines for data engineering (Azure DevOps / GitHub Actions) * Infrastructure as Code ...

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

... GitHub Actions, DevOps, Kubernetes/AK Preferred Qualifications: * Strong analytical, communication, and leadership skills *All Telecommuters will be required to adhere to UnitedHealth Group ...

Senior Data Engineer

Eden Prairie, MN · On-site

$108K - $146K/yr

... GitHub Actions, DevOps, Kubernetes/AK Preferred Qualifications: * Strong analytical, communication, and leadership skills *All Telecommuters will be required to adhere to UnitedHealth Group ...

Showing results 41-60

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 Sep 2, 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.

What is a data analyst at 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.

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 at 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 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 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 & Software Engineer, EMRge MMM

Ovative group

Minneapolis, MN • On-site

$119K - $143K/yr

Full-time

Medical, Retirement, PTO

Re-posted 20 days ago


Job description

About Ovative Group:

Ovative Group is an independent, full-funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and UnitedHealth Group transform their media and measurement programs. The result? Profitable growth that speaks for itself.

At Ovative, we don't just track data, we redefine success. How do we do it? Our proprietary MarTech platform, EMRge helps businesses transform marketing into a driver of sustainable growth. Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying, planning, and measurement, EMRge is the first MarTech platform to measure businesses holistically. We're all about raising the bar every day, and it shows. Our work has been recognized by organizations like Digiday, Google, Inc. 5000, USA Today, and Search Engine Land.

About the Role

We are seeking a Data & Software Engineer to join our rapidly growing product and engineering development team. Our company specializes in enterprise-level media measurement and optimization across various industries.

In this role, you will be an integral part of a cross-functional team responsible for creating, optimizing, and maintaining scalable software and data solutions to enhance performance, stability, and scalability. You will work under the guidance of experienced team members and closely collaborate with stakeholders throughout the entire software development lifecycle, from concept to deployment.

The ideal candidate will have a strong foundation in iterative development practices, familiarity with version control systems like GitHub, and a passion for developing both conceptual and pragmatic problem-solving skills. You are curious about using modern AI tools as part of your daily workflow and can balance AI-assisted software development with rigorous testing, documentation, and review. Your attention to detail and communication skills, both written and oral, will enable you to work directly with a variety of users, understand their objectives, and contribute to translating them into technical requirements and solutions. As a valuable team member, you will be encouraged to learn and grow in a supportive environment, actively participate in team activities, and set the foundation for your professional development.

Responsibilities:

  • Assist in designing, developing, testing, and deploying software solutions that align with business and technical requirements.
  • Contribute to the effort of identifying opportunities for automation with a focus on the operational stability of software applications and systems
  • Collaborate with your team to support translating business goals and user requirements into detailed, actionable technical requirements
  • Contribute to documentation and technical requirements, including software designs, evaluation plans, test results, technical manuals and formal recommendations and reports
  • Contribute to the creation and maintenance of robust, performant solutions that provide high customer impact at scale
  • Leverage AI-assisted development tools (e.g., GitHub Copilot, Claude, internal LLM tooling) to explore solution options, generate scaffolding code, and improve development velocity while maintaining code quality and security
  • Provide technical assistance to teammates as needed through collaboration and by sharing your expertise
  • Follow established software and product engineering best practices, including code quality, documentation, deployment, and testing.
  • Explore new technologies and tools under guidance to enhance software development.
  • Troubleshoot tier 1 software issues with support from senior team members as needed.
  • Participate in technical knowledge sharing with other team members.
  • Stay current with emerging technology and software engineering innovations and continuously enhance skills.

Requirements:

  • 3+ years of relevant data & software engineering development experience
  • Proficient working with ETL/ELT tooling for large data sets (e.g., Airbyte)
  • Proficient utilizing SQL, Python, and command line
  • Familiarity with cloud-based platforms (i.e. GCP, AWS)

Preferred:

  • Experience working with APIs for data retrieval
  • Experience working with data warehouses and big data tools (e.g., BigQuery, Databricks)
  • Experience creating data/table architecture
  • Experience implementing QA processes and QA automation
  • Experience integrating data models within software
  • Experience working with marketing, analytics and customer data
  • Experience building lightweight internal tools, agents, skills, or workflows that orchestrate LLM calls (e.g., prompt templates, retrieval-augmented generation, or scripted helpers for teammates).

Pay Transparency

AtOvative, we offer a transparent view into three core components of your total compensation package: Base Salary, Annual Bonus, and Benefits. The salary range for this position below is inclusive of an annual bonus.Actual offers are made with consideration for relevant experience andanticipatedimpact.Additionalbenefits information is provided below.

For our Data & Software Engineer positions, our compensation ranges from$75,000 to $93,000, which is inclusive of a15% bonus.

Benefits of Working at Ovative Group:

We provide strong, competitive, holistic benefits that understand the importance of your life inside and out of work.

Culture:

Culture matters and we've been recognized as a Top Workplace for tenyears running because of it. We demand trust and transparency from each other. We believe in doing the hard and complicated work others put off. We're open in communication and floor plan. We're flat - our interns sit next to VPs, our analysts work closely with senior leaders, and our CEO interacts with every single person daily. Put together, these elements help foster an environment where smart people can support each other in performing to their highest potential.

Ovative is committed to fostering an inclusive environment where everyone can participate and thrive. We do not tolerate discrimination of any kind, including on the basis of race, sexual orientation, gender identity, or gender expression. Our policies reflect this commitment-for example, our medical leave benefits are inclusive of same-sex partners, ensuring equitable care and support for all families.

Compensation and Insurance:

We strive to hire and retain the best talent. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix.

We're rewarded fairly and when the company performs well, we all benefit.

Tangible amenities we enjoy:

  • Access to all office spaces in MSP, NYC, and CHI

  • Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teams

  • Generous paid vacation policy

  • 401k match program

  • Top-notch health insurance options, inclusive of same sex partners

  • Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs

  • Monthly stipend for your mobile phone and data plan

  • Sabbatical program

  • Charitable giving via our time and a financial match program

  • Shenanigan's Day

Working at Ovative won't be easy, but if you like getting your hands dirty, driving results, and being surrounded by the best talent, it'll be the most rewarding job you'll ever have. If you think you can make us better, we want to hear from you!