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Data Analyst Python Sql Jobs in Madison, WI (NOW HIRING)

Intermediate SQL (preferably T-SQL) skills including but not limited to complex SQL statements ... Experience with a data science programing language such as R or Python. Proficiency with at least ...

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Intermediate SQL (preferably T-SQL) skills including but not limited to complex SQL statements ... Experience with a data science programing language such as R or Python. Proficiency with at least ...

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable ... R, Python, SAP Business Objects, SQL, Power BI, Snowflake, Databricks). * Ability to interpret ...

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable ... R, Python, SAP Business Objects, SQL, Power BI, Snowflake, Databricks). * Ability to interpret ...

Digital Analyst Internships

Whitewater, WI

$97.10K - $114.80K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Madison, WI

$99.30K - $117.40K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Sr. Data Engineer

Madison, WI

$114.10K - $137.10K/yr

... Python, Spark, and SQL. * Optimize Databricks jobs for performance and cost-effectiveness, including largescale bioinformatics and analytics workloads. * Integrate Databricks with other data sources ...

Sr. Data Engineer

Madison, WI

$115.40K - $138.50K/yr

... Python, Spark, and SQL. * Optimize Databricks jobs for performance and cost-effectiveness, including largescale bioinformatics and analytics workloads. * Integrate Databricks with other data sources ...

Sr. Data Engineer

Madison, WI

$114.10K - $137.10K/yr

... Python, Spark, and SQL. * Optimize Databricks jobs for performance and cost-effectiveness, including largescale bioinformatics and analytics workloads. * Integrate Databricks with other data sources ...

Sr. Data Engineer

Madison, WI · On-site

$114.10K - $137.10K/yr

... Python, Spark, and SQL. * Optimize Databricks jobs for performance and cost-effectiveness, including largescale bioinformatics and analytics workloads. * Integrate Databricks with other data sources ...

Sr. Data Engineer

Madison, WI

$115.40K - $138.50K/yr

... Python, Spark, and SQL. * Optimize Databricks jobs for performance and cost-effectiveness, including largescale bioinformatics and analytics workloads. * Integrate Databricks with other data sources ...

Sr. Data Engineer

Madison, WI

$114.10K - $137.10K/yr

... Python, Spark, and SQL. * Optimize Databricks jobs for performance and cost-effectiveness, including largescale bioinformatics and analytics workloads. * Integrate Databricks with other data sources ...

Python, SQL), data query tools to build test, evaluate, organize and analyze large, diverse and imperfect data sets. * Develops data structures to support the generation of business insights and ...

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Data Analyst Python Sql information

See Madison, WI salary details

$34.3K

$83.3K

$137K

How much do data analyst python sql jobs pay per year?

As of May 29, 2026, the average yearly pay for data analyst python sql in Madison, WI is $83,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $97,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Madison, WI look for? The top searched job categories for Data Analyst Python Sql jobs in Madison, WI are:
Infographic showing various Data Analyst Python Sql job openings in Madison, WI as of May 2026, with employment types broken down into 5% As Needed, 58% Full Time, 11% Part Time, 25% Contract, and 1% Nights. Highlights an 67% Physical, 11% Hybrid, and 22% Remote job distribution, with an average salary of $83,270 per year, or $40 per hour.
Data Analyst

Full-time

Retirement

Posted yesterday


Job description

Overview

The Wisconsin Foundation and Alumni Association (WFAA)*, the private fundraising and alumni relations organization for UW-Madison, is recruiting for a Data Analyst to join our Data Analytics Team. The Data Analyst position provides complex and high-quality data analysis in support of WFAA fundraising, marketing and engagement goals, translates business objectives into analytics solutions, deploys complex data mining, modeling and statistical techniques and summarizes key findings and insights to stakeholders to inform business strategy and optimize results.


Responsibilities
Data Analysis and Modeling
  • Analyze and segment suspect pools for development, as well as target audiences for engagement and marketing, to maximize business results. Leverage statistical tools and techniques including data mining, predictive modeling, geospatial analysis and multivariate regression analysis.
  • Develop quantitative analyses on the dynamics of donor behavior, using behavioral models and other statistical techniques.
  • Design complex data analyses of WFAA initiatives including responses to marketing efforts, cultivation, solicitation and stewardship activities.
  • Analyze prospect universe and movement of prospects through the pipeline, in order to inform development team assessment and strategy.
  • Deliver statistical trend analysis, including performance, forecasting and projection reports.
  • Provide campaign design support for marketing efforts.

Internal Consulting

  • Collaborate with Research & Prospect Management and Development staff to understand and inform unit prospecting priorities and constituencies.
  • Collaborate with Annual Giving, Alumni Relations and Engagement staff to understand and inform marketing and audience segmentation priorities and strategies.
  • Present analytical findings to various stakeholders, advising on how to use results to inform business strategy.
  • Collaborate with Data Warehouse and Business Intelligence teams to understand data needs and priorities, identify opportunities for analytics services, and operationalize analytics tools into reports.

Data Management Duties

  • Identify and manage data acquisition projects in support of analytics, including wealth screening, demographic and behavioral profiles, discretionary spending, etc.
  • Advise on data processing and quality assurance activities. Make recommendations for opportunities for improvement through audit reporting, business process and training.
  • Manage the capacity, readiness and other modeling or rating scores. Support dynamic scoring and advise on solutions for delivering scores to stakeholders.

Qualifications
  • Bachelor’s degree (or higher) in applied quantitative discipline (e.g. statistics, mathematics, economics, or other quantitative sciences) is preferred.
  • 2 + years of demonstrated analytical experience preferred, along with experience supporting internal or external clients.
  • Solid understanding of relational database concepts. Intermediate SQL (preferably T-SQL) skills including but not limited to complex SQL statements, stored procedures, user defined functions, etc.
  • Experience with a data science programing language such as R or Python. Proficiency with at least one of these tools is preferred.

WFAA is committed to provide our employees with an environment that is inspiring, creative and respectful. The Data Analyst is a full time exempt position and reports to the Data Warehouse and Business Intelligence Technical Manager. We offer a competitive salary and an excellent benefits program, which includes a 10% 401k contribution after 1 year of service

Just as the university community benefits from differing viewpoints, perspectives, and experiences, inclusion and diversity are imperative for the success of our mission. WFAA values people and the differences that they bring to the organization, and creates an environment in which all staff members and constituents feel respected and have opportunities to thrive.  

The Wisconsin Foundation and Alumni Association is an Equal Opportunity Employer *The Wisconsin Foundation and Alumni Association is the “doing business as” name of the merged organization comprising the University of Wisconsin Foundation (supportuw.org) and the Wisconsin Alumni Association (uwalumni.com). Its legal corporate name is registered as the University of Wisconsin Foundation.

Qualifications:
  • Bachelor’s degree (or higher) in applied quantitative discipline (e.g. statistics, mathematics, economics, or other quantitative sciences) is preferred.
  • 2 + years of demonstrated analytical experience preferred, along with experience supporting internal or external clients.
  • Solid understanding of relational database concepts. Intermediate SQL (preferably T-SQL) skills including but not limited to complex SQL statements, stored procedures, user defined functions, etc.
  • Experience with a data science programing language such as R or Python. Proficiency with at least one of these tools is preferred.

WFAA is committed to provide our employees with an environment that is inspiring, creative and respectful. The Data Analyst is a full time exempt position and reports to the Data Warehouse and Business Intelligence Technical Manager. We offer a competitive salary and an excellent benefits program, which includes a 10% 401k contribution after 1 year of service

Just as the university community benefits from differing viewpoints, perspectives, and experiences, inclusion and diversity are imperative for the success of our mission. WFAA values people and the differences that they bring to the organization, and creates an environment in which all staff members and constituents feel respected and have opportunities to thrive.  

The Wisconsin Foundation and Alumni Association is an Equal Opportunity Employer *The Wisconsin Foundation and Alumni Association is the “doing business as” name of the merged organization comprising the University of Wisconsin Foundation (supportuw.org) and the Wisconsin Alumni Association (uwalumni.com). Its legal corporate name is registered as the University of Wisconsin Foundation.

Education:UNAVAILABLEEmployment Type: FULL_TIME