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

Approach all problems and projects with a high level of professionalism, objectivity and an open mind to new ideas and solutions. * Data Analysis: Participate in the collection, analysis, and ...

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Project Controls Analyst

Madison, WI · On-site

$65K - $95K/yr

Perform analytics and interpret project/program data for continuous improvement * Complete financial reconciliations as required * May train, manage, or mentor others * Administrate the use of ...

Senior Analyst, Analytics

Madison, WI · On-site

$88K - $117K/yr

... projects with moderate level of risk and resource requirements. Data Modeling, Reporting, and ... Ability to provides basic datasets to analyst teams for exploratory analysis. * Reporting and BI:

Senior Analyst, Analytics

Madison, WI

$88K - $117K/yr

... projects with moderate level of risk and resource requirements. Data Modeling, Reporting, and ... Ability to provides basic datasets to analyst teams for exploratory analysis. * Reporting and BI:

Affordability Analyst III

Madison, WI · On-site

$90K - $155K/yr

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... projects, establishing clear metrics for success and managing timelines to ensure timely delivery ...

Performs complex data analyses and reporting * Serves as a project lead for lower level IT staff providing guidance on specific project goals, outcomes, and technological components * Serves as a ...

Data Modeler

Madison, WI

$55.25 - $71.50/hr

Oracle DQ tool) What kind of large projects you have been handling? Roles? Relevant Experience ... data analysis , normalized , 3NF transient database management account management, part day on a ...

Our client is looking for an IT Project Manager to support Wastewater Permit Database Update ... Knowledge of data analysis tools and business intelligence tools for creating reports and ...

Data Engineer (Hybrid)

Cottage Grove, WI · On-site

$108K - $130K/yr

Analyze complex datasets to identify trends, answer business questions, and support informed ... Strong project management skills with the ability to prioritize work and meet deadlines. * Ability ...

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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.
Data Scientist

Full-time

Medical, Dental, Vision, Retirement

Posted yesterday

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CliftonLarsonAllen rating

7.4

Company rating: 7.4 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

15th of 17 rated bookkeepers and accountants


Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is looking to hire a Data Science Associate to join our growing Internal IT team.

About the role:

As a Data Science Associate, you will:

This role constructs complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping, and SQL/no-SQL databases. They automate business workflows while integrating stochastic/numeric algorithms in the process.

Essential Job Functions

  • Expand Knowledge/Exposure: Develop service specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training opportunities. Gain exposure to a variety of client situations to develop business skills. Retain knowledge gained and performance feedback provided to transfer into future work. Approach all problems and projects with a high level of professionalism, objectivity and an open mind to new ideas and solutions.

  • Data Analysis: Participate in the collection, analysis, and automated collection of data using a variety of data tools. Together with the Data Analytics team, support the building and implementing of models, algorithms, and simulations supporting solutions for external clients and internal projects. Assess the effectiveness and accuracy of new data sources and data gathering techniques.

  • Data Development: Working under the guidance of a variety of Data Analytics team members, gain exposure to developing custom data models and algorithms to apply to data sets. Gain experience with predictive and inferential analytics, machine learning, and artificial intelligence techniques. Use existing processes and tools to monitor and analyze solution performance and accuracy, and communicate findings to team members and end users.

  • Collaboration: With specific direction, learn to work individually as well as in collaboration with others. Interaction with others will primarily be virtual with leadership and colleagues from other offices.

What you will need:

No experience required.

  • 1 year of experience preferred

  • Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions preferred.

  • Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in a field of Statistics, Computer Science, Economics, Analytics, or Data Science (e.g., Informatics, Data Science, Health Data Science) preferred.


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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.



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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012