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Project Data Analyst Jobs in Madison, WI (NOW HIRING)

Strong ability in data interpretation and analytics. * Proficiency in project management software and tools is a plus (i.e. MS Project, Smart sheets, etc.) * Strong interpersonal and communication ...

Strong ability in data interpretation and analytics. * Proficiency in project management software and tools is a plus (i.e. MS Project, Smart sheets, etc.) * Strong interpersonal and communication ...

... developers, GIS analysts, and subject matter experts using an Agile methodology in a Scrum ... Provide input on proposals and estimates by contributing project data or lessons learned. * Ensure ...

... developers, GIS analysts, and subject matter experts using an Agile methodology in a Scrum ... Provide input on proposals and estimates by contributing project data or lessons learned. * Ensure ...

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Project Data Analyst information

See Madison, WI salary details

$34.3K

$83.3K

$137.1K

How much do project data analyst jobs pay per year?

As of Jul 17, 2026, the average yearly pay for project data analyst in Madison, WI is $83,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,800.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI is unlikely to fully replace data analysts, as their role involves interpreting complex data, making strategic decisions, and communicating insights that require human judgment. Instead, AI tools can augment their work by automating routine tasks and enhancing data processing, allowing analysts to focus on higher-level analysis and decision-making. Developing skills in data visualization, programming, and AI tools can help data analysts stay valuable in evolving workplaces.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, experienced analysts can earn above-average wages. Certifications and advanced skills can also contribute to higher compensation.

How does a Project Data Analyst typically collaborate with project managers and other stakeholders during a project lifecycle?

A Project Data Analyst works closely with project managers and cross-functional teams by providing data-driven insights that inform project planning, execution, and evaluation. They are responsible for gathering and interpreting project-related data, creating reports, and visualizing trends to support decision-making. Regular meetings and status updates are common, where analysts present findings and recommendations, ensuring alignment between data insights and project objectives. This collaboration is crucial for identifying potential risks, optimizing resource allocation, and tracking progress toward project milestones.

What is project data analysis?

Project data analysis involves collecting, examining, and interpreting data related to specific projects to assess performance, identify trends, and support decision-making. It often requires skills in data management, statistical tools, and visualization software to improve project outcomes and efficiency.

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

To thrive as a Project Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with data analysis tools such as Excel, SQL, Python, and visualization platforms like Tableau or Power BI is often required, along with knowledge of project management systems. Excellent communication, attention to detail, and problem-solving abilities are standout soft skills in this role. These skills and qualities ensure accurate data-driven decision-making and effective collaboration within project teams.

Is 40 too late for data science?

For a Project Data Analyst or data science role, starting a career at 40 is not too late. Many professionals transition into data roles later in life, and acquiring skills in programming, statistics, and tools like Python or SQL can facilitate entry regardless of age.

What is the difference between Project Data Analyst vs Data Analyst?

AspectProject Data AnalystData Analyst
Required SkillsData analysis, project management, reportingData analysis, statistical skills, visualization
Work EnvironmentProject teams, cross-functional departmentsData departments, business units
CertificationsData analysis, project management certifications often preferredData analysis, statistical certifications
Industry UsageProject-based roles across industriesData-focused roles in various sectors

The main difference is that a Project Data Analyst focuses on analyzing data within the context of specific projects, often coordinating with project teams and managing project-related data. In contrast, a Data Analyst generally handles broader data analysis tasks across ongoing business operations. Both roles require strong analytical skills, but the Project Data Analyst emphasizes project management and cross-functional collaboration.

What does a Project Data Analyst do?

A Project Data Analyst is responsible for collecting, processing, and analyzing data related to specific projects within an organization. They help project managers and teams make informed decisions by providing insights from data, identifying trends, and measuring project performance. Their work often involves creating reports, dashboards, and visualizations to communicate findings clearly to stakeholders. Additionally, they may recommend data-driven strategies to improve project outcomes and efficiency.
Lead Data Analyst

$99K - $167K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


American Family Insurance rating

7.5

Company rating: 7.5 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

202nd of 281 rated insurance


Job description

This position provides analytics services to the business, delivering insights, measurement frameworks, and data-driven recommendations that support strategic decision-making across key initiatives. You will lead analytics efforts across a diverse portfolio of business programs, including AI/ML initiatives, product enhancements, operational improvements, and customer experience efforts. Partner with Data Science, Product, Engineering, and business stakeholders to deliver interpretable analyses, governed datasets and pipelines, and actionable reporting solutions. Develop dashboards and monitoring frameworks that track business outcomes, operational performance, and, where applicable, model health, adoption, and fairness metrics. Establish analytics best practices, mentor analysts, and communicate executive-ready insights and recommendations that drive measurable business value.

Position Compensation Range:

$99,000.00 - $167,000.00

Pay Rate Type:

Salary

Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

Primary Accountabilities

  • Works with business partners in the development and delivery of key performance analysis and reporting.
  • Builds and maintains various models used to project business results; enhances the model where there is business value in adjusting the models.
  • Ensures analysis and reporting accuracy and integrity and explains performance drivers and provides insights into performance trends.
  • Creates, executes and maintains forecasting models; speaks to the underlying assumptions and inter-workings of the model used to create the forecast.
  • Communicates findings to various stakeholders and leadership with recommendations for actions to address business changes, trends, and issues.
  • Evaluates, designs, tests and maintains data/analytics systems and make recommendations for new tools and system enhancements.
  • Develops, tests, and deploys complex automated reporting solutions and automated decision analytics to replace manual business processes.
  • Develops and defines standard analytics and reporting governance and communication and ensures adherence to standards.


Specialized Knowledge & Skills Requirements

  • Demonstrated experience providing customer-driven solutions, support or service.
  • Solid knowledge and understanding of forecasting techniques or statistical analysis or data modeling or data mining.
  • Demonstrated experience utilizing software tools to query and report data.
  • Demonstrated experience with a variety of standard reporting software packages and best practices for report deployment processes.
  • Demonstrated experience communicating/presenting complex and independent concepts and unbiased fact-based decision-making and financial performance.
  • Demonstrated experience developing complex data sets for wide-spread use.
  • Lead end-to-end analytics and experimentation for AI/ML programs. This includes use-case discovery, Measurement definition, data requirements, measurement plan, and post-launch monitoring. The goal is to measure growth and model performance.

  • Partner with Data Science, Product, Engineering, and partners to translate AI problems into clear analytical questions. Define success metrics, such as/recall, drift, and fairness, and ensure solutions are interpretable and applicable.

  • Develop scalable datasets, feature/label definitions, and analytical pipelines; ensure data quality, lineage, and governance readiness for AI products.

  • Develop dashboards and recurring insights on model health and adoption (performance, stability, bias, customer outcomes), and flag risks/opportunities.

  • Establish best practices for AI analytics: documentation, reproducible analysis, experiment design, metric standards, and model monitoring/validation requirements.

  • Mentor analysts and influence standards across the team; communicate insights to executives through crisp narratives, visuals, and recommendations.

We will expect you to work 10 days per month from the office. You should reside within approximately 35-50 miles of one of the following office locations: Madison, WI 53783; Boston, MA 02110; Denver, CO; Hopkins, MN; Phoenix, AZ, St Joseph, MO & Keene, NH

#LI-Hybrid


Licenses

  • Not Applicable.


Travel Requirements

  • Up to 10%.


Physical Requirements

  • Work that primarily involves sitting/standing.


Working Conditions

  • Not Applicable.
Additional Information
  • To ensure a strong start, all employees participate in our New Employee Orientation during their first week. This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth. At times, sessions may be delivered virtually based on scheduling and availability.
  • Offer to selected candidate will be made contingent on the results of applicable background checks
  • Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
  • Sponsorship will not be considered for this position unless specified in the posting

We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.


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