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Analytics Jobs in Madison, WI (NOW HIRING)

CUNA Mutual Group

Senior Analyst, Analytics

Madison, WI · On-site

$88K - $117K/yr

Communicate the analytics and/or data plan and insights with expert storytelling ability. * Define and size business opportunities/problem that can solved through analytics and/or data. Assess and ...

Trustage

Senior Analyst, Analytics

Madison, WI

$88K - $117K/yr

Communicate the analytics and/or data plan and insights with expert storytelling ability. * Define and size business opportunities/problem that can solved through analytics and/or data. Assess and ...

6AM City

Data & Analytics Engineer

Madison, WI · Hybrid

We are seeking a Data Analytics Engineer for a 6 month contract-to-hire role with a financial services company renowned for being ranked as one of the best companies to work for. The role requires a ...

Shine United

Data Analyst

Madison, WI · On-site

Strong proficiency in web analytics platforms (GA4 required). * Experience with tag management systems (Google Tag Manager preferred). * Experience with data visualization tools (TapClicks preferred)

Shine United

Data Analyst

Madison, WI

Strong proficiency in web analytics platforms (GA4 required). * Experience with tag management systems (Google Tag Manager preferred). * Experience with data visualization tools (TapClicks preferred)

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See Madison, WI salary details

$65K

$126.3K

$180.4K

How much do analytics jobs pay per year?

As of Jul 29, 2026, the average yearly pay for analytics in Madison, WI is $126,301.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,800.00 and $150,200.00 per year, depending on experience, location, and employer.

What is analytics and what do analytics professionals do?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but overall, data analysts and related roles tend to offer competitive salaries.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types based on their focus: business analysts, who interpret data to inform business decisions; operations analysts, who optimize processes; financial analysts, who analyze financial data; and marketing analysts, who evaluate marketing campaigns and customer data. Each type requires specific skills and tools, such as SQL, Excel, and data visualization software, to perform their roles effectively.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What are the key skills and qualifications needed to thrive in Analytics, and why are they important?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, providing insights, and making strategic decisions. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human judgment still vital in the analytics field.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

Is 40 too late for data science?

The analytics field, including data science, values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with statistical knowledge and relevant certifications, can help late entrants succeed. Age is less a barrier than acquiring the necessary technical skills and building a strong portfolio.
What are the most commonly searched types of Analytics jobs in Madison, WI? The most popular types of Analytics jobs in Madison, WI are:
What are popular job titles related to Analytics jobs in Madison, WI? For Analytics jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Analytics jobs in Madison, WI look for? The top searched job categories for Analytics jobs in Madison, WI are:
What cities near Madison, WI are hiring for Analytics jobs? Cities near Madison, WI with the most Analytics job openings:
Analytics jobs near you
Infographic showing various Analytics job openings in Madison, WI as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $126,301 per year, or $60.7 per hour.

Senior Analyst, Analytics

CUNA Mutual Group

Madison, WI • On-site

$88K - $117K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Job description

At TruStage, we're on a mission to make a brighter financial future accessible to everyone. We put people first, and work hand in hand with employees and customers to create a diverse and inclusive environment. Passionate about building insurance and financial services solutions, we push the boundaries of what's possible. We need you to help us shape what's next. You'll be encouraged to share your experiences, ideas and skills to help others take control of their financial future.
Join a team that has received numerous awards for being a top place to work: TruStage awards and recognition
Job Responsibilities: List of general activities, duties and/or tasks typically performed within the job.
Business Domain Analysis:
  • Manage business relationship, understand business strategy and needs with an aim to create a trusted partnership. Participate in business planning discussions and provide guidance and recommendations.
  • Communicate the analytics and/or data plan and insights with expert storytelling ability.
  • Define and size business opportunities/problem that can solved through analytics and/or data. Assess and priortize the opportunity to bring forward a value based, business outcome analytics and/or data solution.
  • Design analytical and/or data solutions from a broad array of descriptive, diagnostic, predictive, and prescriptive techniques. Develop analytics and/or data roadmaps to support business strategy.
  • Plan, prioritize, and translate needs of the business and initiatives to deliver analytics and/or data solutions through cross functional execution across teams
  • Utilizes expert level knowledge across business area(s) and industry to:
    • Lead the analytics structure and analytics priorities for a specific business area(s)
    • Provide data driven insights impacting one or more business area(s)
    • Help establish and achieve the business area(s) objectives and key results
    • Responsible for the oversight of core metrics and key performance indicators for specific business area(s), leading and lagging indicators, forecasts, and related historical performance.
    • Solves complex, business area(s) problems; taking a broad perspective to identify innovative solutions where change is needed. Utilizes strong conceptual understanding of predictive analytics and data to partner with data analysts and data scientists to solve problems.
    • Acts as a resource for colleagues with less experience; may guide other analysts and or prioritize work. Often leads small cross-departmental projects with moderate level of risk and resource requirements.

Data Modeling, Reporting, and Business Intelligence:
  • Proficient level understanding of the relationships in specific business area data sets and how they change and trend over time and the key business drivers; uses this understanding to accomplish own work and guide the work of other analysts.
  • Analyze datasets pertaining to business area(s); utilizes standard formulas, methods, and BI tools common in the industry and relevant to the current data.
  • Defines reporting data sets, core metrics, and key performance indicators for specific business area(s). Utilizes BI/Reporting tools to explore data and produce outputs.
  • Leads others to help solve multifaceted problems; uses sophisticated analytical thought to exercise judgment and identify innovative solutions; Works with data & engineering teams to translate complex business data requirements into data model relationships.
  • Impacts a range of customer, operational, project or service activities within own team and other related teams; works within broad guidelines, best practices, and policies to meet deadlines. Helps in establishing analytic best practices.

Business Data Communications:
  • Communicates difficult concepts and negotiates with others to persuade a different point of view. Contributes to change initiatives by actively soliciting and listening to feedback to determine need for change or improvement.
  • Prepares professional presentations, reports, or visualizations and presents this information various cross-departmental teams, including leadership groups, while tailoring the presentation and insights to a level appropriate for the audience.
  • Adapts to new situations such as teams, projects, or work processes.
  • Maintains a high-level awareness of industry, competitor, and market trends; interprets internal/external business challenges pertaining to business area(s) and recommends changes to improve products, processes, or services.
  • Champions relevant data to appropriate users in an organization and monitor the published data sources for usage/relevance/quality feedback. Works as part of a team dedicated to maintaining and enhancing the overall usefulness, integrity, and security of data across the enterprise.

The above statement of duties is not intended to be all inclusive and other duties will be assigned from time to time.
Job Requirements:
List of general education, background and experience, knowledge, skills, and abilities typically required to effectively perform the responsibilities of the job. Also include any required licenses and/or designations.
  • Bachelor's degree in mathematics, economics, computer science, information management, statistics, or related field, or equivalent combination of education and/or related professional work experience.
  • 7+ years' data analytics experience.
  • Business Domain Skills:
    • Expert business acumen and analysis skills to understand and quantify the steps required, impacts, and benefits associated with implementing or changing business process, rules, policy, etc. to impact performance.
    • Expert understanding of products/services in own area and knowledge of those in other areas; is aware of the competition and the factors that differentiate TruStage in the market.
    • Strong understanding of applicable business concepts, metrics, processes, and systems for business area(s).
    • Ability to independently manage multiple priorities in a time sensitive, production environment, for self and others.
    • Knowledge of leading practices and how own area integrates with others.
  • Data Skills:
    • Skilled in data mining technologies such as: Alteryx, R, Python, SQL, SAS.
    • Ability to interpret data models in conjunction with exploratory analysis of a database.
  • Data Knowledge:
    • In-depth knowledge of key data across multiple data domains and or business units, Expert knowledge on multiple source systems and the data they generate.
    • Ability to tutor co-workers (within and outside of organizational department) on various data domains.
    • Routinely validates how data elements are structured and confirms alignment with business definitions.
  • Data Modeling:
    • In-depth knowledge of multiple data models leveraged across the enterprise (either multiple business units or multiple data domains) and data storage tools such as Snowflake
    • Advanced ability to translate complex business requirements into logical data model.
    • Aligns closely with the data and engineering teams in the construction of the physical data model.
    • Ability to provides basic datasets to analyst teams for exploratory analysis.
  • Reporting and BI:
    • Skilled in BI applications such as PowerBI.
    • Advanced ability to construct dynamic reports / scorecards vs static reports and ability to visualize the data in the best representation given the data or analytics required.
    • Advanced ability to represent multivariate data within a single comprehensive visual.
    • Ability to incorporate aesthetic principles into report / scorecard development.
  • Communications:
    • Ability to communicate analytics in layperson's terms.
    • Ability to communicate ideas at every level of detail, from the most detailed business discussion to a leadership forum.
    • Skilled at leading development of presentation logic and strong presentation skills.
    • Ability to communicate (verbally and in writing) up and down organizational structure regarding all tasks and assignments.

If you're ready to help make a difference, apply today. A resume is required to apply. TruStage may process applicant information using an Artificial Intelligence (AI) tool. This tool automatically generates a screening score based on how well applicant information matches the requirements and qualifications for the position. TruStage recruiters use the screening score as a guide to further evaluate candidates; the score is one component of an application review and does not automatically determine whether a candidate moves forward. Candidates may choose to opt out of this process.
Compensation may vary based on the job level, your geographic work location, position incentive plan and exemption status.
Base Salary Range:
$102,400.00 - $153,600.00
At TruStage, we believe a sound, inclusive benefits program is of vital importance, along with a flexible workplace that allows for work-life balance, career growth and retirement assistance. In addition to your base pay, your position may be eligible for an annual incentive (bonus) plan. Additional benefits available to eligible employees include medical, dental, vision, employee assistance program, life insurance, disability plans, parental leave, paid time off, 401k, and tuition reimbursement, just to name a few. Beyond pay and benefits, we also recognize that flexibility, including working in a place you prefer, is essential to caring for our employees. We will continue to strive to offer flexibility and invest in technology and other tools that will make hybrid working normal rather than an exception, so that when "life happens," you can focus on what's most important.
Accommodation request
TruStage is a place where everyone can bring their best self and thrive. If you need application or interview process accommodations, please contact the accessibility department.

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