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

Shine United

Data Analyst

Madison, WI · On-site

Experience with SQL and/or Python for data analysis, including implementation of Meridian * Familiarity with CRM data integration and customer journey analysis. COMPENSATION & BENEFITS: Competitive ...

Shine United

Data Analyst

Madison, WI · On-site

Experience with SQL and/or Python for data analysis, including implementation of Meridian * Familiarity with CRM data integration and customer journey analysis. COMPENSATION & BENEFITS: Competitive ...

Shine United

Data Analyst

Madison, WI

Experience with SQL and/or Python for data analysis, including implementation of Meridian * Familiarity with CRM data integration and customer journey analysis. COMPENSATION & BENEFITS: Competitive ...

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$115K/yr

Proficiency in SQL for data extraction, transformation, and analysis. * Working knowledge of data warehousing concepts, including ETL/ELT processes, data pipelines, and layered data architectures.

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$115K/yr

Proficiency in SQL for data extraction, transformation, and analysis. * Working knowledge of data warehousing concepts, including ETL/ELT processes, data pipelines, and layered data architectures.

Danaher

Digital Analyst Internships

Whitewater, WI · On-site

$97K - $114K/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 ...

Danaher

Digital Analyst Internships

Madison, WI · On-site

$99K - $117K/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 ...

Urus Group LP

Sr. Data Engineer

Madison, WI

$115K - $138K/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 ...

Urus

Sr. Data Engineer

Madison, WI

$114K - $137K/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 ...

AgSource

Sr. Data Engineer

Madison, WI

$114K - $137K/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 ...

Trans Ova Genetics

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/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 ...

Farm Systems

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/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 ...

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/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 ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Madison, WI

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 Jul 27, 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.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 are popular job titles related to Data Analyst Python Sql jobs in Madison, WI? For Data Analyst Python Sql jobs in Madison, WI, the most frequently searched job titles are:
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:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Madison, WI as of July 2026, with employment types broken down into 2% Internship, 70% Full Time, 5% Part Time, and 23% Contract. Highlights an 86% In-person, 2% Hybrid, and 12% Remote job distribution, with an average salary of $83,270 per year, or $40 per hour.
Data Analyst

Data Analyst

Shine United

Madison, WI • On-site

Full-time

Medical, Dental, Life, Retirement

Posted 21 days ago

Job description

POSITION OVERVIEW: You're a Data Analyst who loves building insightful dashboards as much as you do finding the story buried within them.
You're comfortable in the numbers, but you don't live there. You live in the "what does it mean" - the insights that turn performance data into a recommendation clients can actually act on. You're as fluent in measurement frameworks as you are in a strategy conversation, and you know how to make complex analysis feel clear without making it simple.
As a Data Analyst, you'll work within our Media department as a key partner to the Director of Digital Media, Account Service, and creative teams. You'll analyze cross-channel performance data, identify trends and opportunities, guide measurement frameworks, and support the tracking and reporting solutions that give clients a smarter picture of what's working - and why.
If you're an analytical mind with strategic instincts who wants to put them to work somewhere that values both, let's talk.
KEY RESPONSIBILITIES:
Data Analysis, Reporting & Insights
  • Collaborate with media team members to design and maintain automated dashboards (e.g., TapClicks, NinjaCat, Google Data Studio) that clearly communicate performance, insights and opportunities to internal teams and clients.
  • Analyze performance data across paid media channels (search, social, programmatic, etc.), owned channels (email, social, etc.), and web analytics platforms.
  • Develop insights that drive campaign optimization, budget allocation, audience strategy, and creative testing strategy.
  • Identify trends, performance anomalies, and growth opportunities.

Measurement & Tracking Implementation
  • Collaborate with Shine's in-house web development team and client teams to implement and validate tracking solutions (GA4, GTM, media platform pixels, conversion APIs, server-side analytics platforms, etc.).
  • Ensure proper data collection architecture across client websites and landing pages.
  • Troubleshoot data discrepancies and tracking issues.
  • Maintain documentation of measurement frameworks and tagging structures.

Strategic Collaboration
  • Partner with account service to align data insights with client KPIs and business objectives.
  • Support development of test-and-learn agendas, measurement plans, and quarterly business reviews.

QUALIFICATIONS:
Required:
  • 3-5+ years of experience in digital marketing analytics, media analytics, or a similar role (agency experience preferred).
  • Strong proficiency in web analytics platforms (GA4 required).
  • Experience with tag management systems (Google Tag Manager preferred).
  • Experience with data visualization tools (TapClicks preferred).
  • Working knowledge of paid media platforms (Google Ads, Meta, LinkedIn, programmatic DSPs) and corresponding conversion APIs where applicable.
  • Ability to synthesize data into clear, actionable insights for non-technical audiences.
  • Understanding of attribution models and incrementality testing.
  • Experience with server-side analytics platforms.
  • Exposure to marketing mix modeling or advanced analytics frameworks.

Preferred:
  • Experience with SQL and/or Python for data analysis, including implementation of Meridian
  • Familiarity with CRM data integration and customer journey analysis.

COMPENSATION & BENEFITS: Competitive salary based on experience. Benefits package includes: fully paid health, dental, life and disability insurance (for individuals and families), 401k program, paid downtown parking, paid home internet access, and more.
ABOUT SHINE UNITED: Shine United is a $51 million advertising, design and digital agency located in America's Heartland - Madison, Wisconsin. Best known for its innovative brand positioning and creative firepower, Shine has been tapped by brands like Harley-Davidson, Mizuno Running, Discover Card, Amazon, Kohler, Festival Foods, Toppers Pizza, Winston Fly Rods, Carver Yachts and UW Health. Shine was named one of the best small agencies in the country by One.A.Magazine, and one of the best places to work in the country by Outside Magazine. Shine's work has been featured in Communication Arts, Print, Graphis, AdAge and The New York Times. Learn more at ShineUnited.com.
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Shine United is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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