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Data Analyst Github Jobs in Wisconsin (NOW HIRING)

Pandata Group

Data Integration Developer

Madison, WI

Pandata Group is a cloud-first data analytics services firm that builds data-driven communities ... Exposure to developer tools/ workflow (e.g. git/github, SSH) * Knowing how to get around a command ...

U.S. Venture, Inc.

Senior Data Engineer - IGEN

Appleton, WI · On-site

$103K - $140K/yr

Partners with the Director, Data & Analytics on the Center of Excellence operating model ... Uses AI development assistants - GitHub Copilot, Microsoft Copilot, Claude, and emerging agent ...

Bakertilly

Data Solution Architect

Madison, WI

$123K - $234K/yr

Develop and maintain data pipelines, ensuring efficient extraction, transformation, and loading ... GitHub for code repositories and deployment. * Familiarity with advanced analytics tools and ...

Bakertilly

Data Solution Architect

Milwaukee, WI · On-site

$123K - $234K/yr

Develop and maintain data pipelines, ensuring efficient extraction, transformation, and loading ... GitHub for code repositories and deployment. * Familiarity with advanced analytics tools and ...

U.S. Venture, Inc.

Senior BI Analyst - IGEN

Appleton, WI · On-site

... data foundation produces the inputs analytical solutions require. * Uses AI development assistants - GitHub Copilot, Microsoft Copilot, Claude, and emerging agent-based tooling - as a standard part ...

Rivi Consulting Group

Java Software emgineer

Green Bay, WI · On-site

$50.25 - $69/hr

CI/CD & DevOps: * * GitHub Actions: Proven experience in creating, managing, and optimizing CI/CD ... Data Science & Analytics: * * Experience with data analysis techniques. * Knowledge of Machine ...

Bakertilly

Associate Data Engineer

Madison, WI

$85K - $162K/yr

You'll collaborate with solution architects, analysts, and client stakeholders while sharpening ... s or GitHub. * Client Delivery: Gather requirements, demo iterative deliverables, document ...

Bakertilly

Associate Data Engineer

Milwaukee, WI · On-site

$85K - $162K/yr

You'll collaborate with solution architects, analysts, and client stakeholders while sharpening ... s or GitHub. * Client Delivery: Gather requirements, demo iterative deliverables, document ...

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All JobsData Analyst Github JobsData Analyst Github Jobs in Wisconsin

Data Analyst Github information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do data analyst github jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data analyst github in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 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 Wisconsin? For Data Analyst Github jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Analyst Github jobs in Wisconsin look for? The top searched job categories for Data Analyst Github jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Analyst Github jobs? Cities in Wisconsin with the most Data Analyst Github job openings:
Data Analyst Github jobs near you
Infographic showing various Data Analyst Github job openings in Wisconsin as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.

Data Scientist II, Anti Money Laundering Transaction Monitoring

BMO Capital Markets

Milwaukee, WI • On-site

Full-time

Medical, Life, Retirement

Posted yesterday

Job description

Application Deadline:

08/06/2026

Address:

320 S Canal Street

Job Family Group:

Data Analytics & Reporting

Data Scientist, AML Transaction Monitoring & Machine Learning

Uses advanced analytics, machine learning, and statistical techniques to design, develop, and optimize Anti-Money Laundering (AML) transaction monitoring solutions. Leverages large-scale transactional, customer, and investigative datasets to identify suspicious activity, improve detection effectiveness, and reduce false positives. Partners with Financial Intelligence Unit (FIU), AML Compliance, Model Risk Management, Data Management, and Technology teams to deliver data-driven solutions that enhance the Bank's financial crime detection capabilities while meeting regulatory and governance requirements.

The successful candidate will contribute throughout the model lifecycle, including data acquisition, feature engineering, model development, validation support, implementation, ongoing monitoring, and model optimization. The role requires translating complex analytical findings into practical business insights and recommendations that strengthen the AML program and support risk-based decision making.

Key Responsibilities
  • Design, develop, test, and deploy machine learning and analytical models used for AML transaction monitoring and suspicious activity detection.
  • Analyze large volumes of customer, transactional, payment, and alert data to identify emerging money laundering risks, typologies, and anomalous behavior patterns.
  • Develop and evaluate supervised and unsupervised machine learning approaches to improve detection effectiveness and investigator outcomes.
  • Conduct feature engineering and exploratory data analysis to identify behavioral indicators associated with financial crime risk.
  • Perform quantitative assessments of model performance, including detection effectiveness, productivity, false positive reduction, and risk coverage.
  • Support model tuning, optimization, and revalidation activities to ensure models continue to perform as intended.
  • Assess data quality and data lineage and partner with data management teams to resolve issues affecting model performance and reliability.
  • Prepare clear and comprehensive model development, testing, and governance documentation to support model validation, audit, and regulatory reviews.
  • Translate analytical findings into actionable recommendations for AML Compliance, FIU, and senior management.
  • Collaborate with business stakeholders, investigators, model governance, and technology partners to prioritize enhancements and implement solutions.
  • Research emerging financial crime typologies, machine learning techniques, and industry best practices to continuously improve monitoring capabilities.
  • Contribute to strategic initiatives involving AI, machine learning, graph analytics, network analysis, and other advanced analytical approaches applicable to financial crime detection.
  • Ensure all analysis and model development activities comply with applicable regulatory requirements, internal policies, and model risk management standards.
  • Take measured risks while protecting the bank by applying the Risk Management Framework and exercising sound risk-based judgment.
Preferred AML-Specific Qualifications
Required
  • Typically between 4 - 6 years of relevant experience and post-secondary degree in a related field of study or an equivalent combination of education and experience.
  • Experience with Python and SQL for large-scale data analysis, feature engineering, and model development.
  • Strong understanding of statistical analysis, machine learning algorithms, and model performance measurement.
  • Experience working with large structured and semi-structured datasets.
  • Experience using version control tools and code repositories (e.g., Git, GitHub, Azure DevOps) to support collaborative development and reproducible analytical workflows.
  • Familiarity with generative AI tools and AI-assisted development practices (e.g., Microsoft 365 Copilot, GitHub Copilot, LLM-based coding assistants) to improve productivity, documentation, and analytical workflows.
  • Ability to communicate technical concepts effectively to both technical and non-technical audiences.
Preferred
  • Experience in AML, transaction monitoring, fraud analytics, sanctions screening, financial crime compliance, or risk analytics.
  • Knowledge of AML regulations, suspicious activity reporting processes, financial crime typologies, and transaction monitoring methodologies.
  • Experience developing, tuning, validating, or monitoring machine learning and analytical models used for risk detection or decision support.
  • Experience with anomaly detection, clustering, graph analytics, network analysis, or other advanced analytical techniques.
  • Familiarity with model governance, model validation, regulatory examinations, audit activities, and model documentation requirements.
  • Experience working with customer, transaction, payment, alert, case, and investigative datasets.
  • Experience using Dataiku, Databricks, SAS, Spark, Hadoop, cloud-based analytics platforms, or similar technologies.
  • Demonstrated ability to leverage AI tools to improve analytical efficiency, automate repetitive tasks, accelerate code development, and enhance documentation quality.
  • Advanced degree in Statistics, Mathematics, Data Science, Computer Science, Economics, Engineering, or a related quantitative discipline.

Salary:

$69,000.00 - $127,800.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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