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

Data Analyst

Madison, WI ยท 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.

Data Analyst

Madison, WI ยท 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.

Digital Analyst Internships

Madison, WI

$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 ...

Digital Analyst Internships

Whitewater, WI ยท 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 ...

Digital Analyst Internships

Whitewater, WI

$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 ...

Digital Analyst Internships

Madison, WI ยท 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 ...

Senior Data Engineer

Madison, WI ยท On-site

$155K - $175K/yr

This role is responsible for developing scalable data pipelines, supporting enterprise analytics ... Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, Python, Spark, and SQL.

New

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 ...

Sr. Data Engineer

Madison, WI ยท 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 ...

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 ...

Sr. Data Engineer

Madison, WI ยท 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 ...

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 ...

Sr. Data Engineer

Madison, WI ยท 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 ...

Develop analytical and visualization outputs using SQL, Power BI, Python, R, and GIS platforms to support technical evaluations. * Support database management, data structuring, and creation of ...

You will be responsible for creating and maintaining optimal data pipeline architecture using Spark, Python, SQL, and other tools. * You will assemble large, complex data sets that meet functional ...

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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 Jul 5, 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:
Data Analyst

Data Analyst

Rural Mutual Insurance

Madison, WI โ€ข Remote

$115K/yr

Full-time

Posted 22 days ago


Job description

Rural Mutual Insurance, one of the top 50 property and casualty companies in the nation, has been protecting what we value in Wisconsin for over 90 years and proudly continues that mission today. We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting solutions to drive sound business decision-making. This position requires deep expertise in Power BI, data modeling, and stakeholder engagement, along with the ability to contribute to broader data architecture and engineering initiatives.

  • This is a remote position.
  • Candidates must live and work in Wisconsin.
  • Requires eligibility to work in the United States without sponsorship.


At Rural Mutual Insurance, we offer a supportive work environment, career growth opportunities, and a comprehensive compensation package that includes health, dental, and vision insurance, a matching 401(k), and generous time off. Weโ€™ve earned consistent recognition as a Madison Magazine Best Places to Work, and an A+ AM Best financial strength rating. If you're ready to be part of a team that values your expertise and encourages your professional growth, apply today!

Compensation:

$100,000 - $115,000 yearly


Responsibilities:
  • Develop and maintain high-quality reports and dashboards using Microsoft Power BI
  • Gather and analyze technical requirements from stakeholders across the organization
  • Develop and maintain data models to support analytics, reporting, and self-service BI
  • Provide ongoing administration, tuning, and support for Power BI and related tools
  • Establish and promote standards for report design, data modeling, and data visualization
  • Collaborate with cross-functional teams to ensure data integrity, quality, and alignment across systems and reporting solutions
  • Analyze complex datasets to identify trends, risks, and opportunities, delivering actionable insights to business leaders
  • Support and influence data governance, documentation, and data quality initiatives
  • Contribute to the design and evolution of data architecture, including data transformations and pipeline development using tools such as dbt or similar frameworks
  • Mentor and guide less experienced analysts, fostering best practices in BI development and data modeling
  • Stay current with emerging trends and technologies in business intelligence, data engineering, and analytics

Qualifications:
  • Bachelorโ€™s Degree in Computer Science, Information Technology, or related field, or an equivalent combination of education and experience
  • 5+ years of relevant data analyst experience
  • Advanced experience building scalable, insight-driven dashboards and reports using Microsoft Power BI or similar business intelligence tools, including performance optimization and troubleshooting
  • Strong understanding of data visualization best practices, including user experience (UX) design and storytelling with data
  • Experience developing and maintaining standards for report design, performance, and usability
  • Solid knowledge of data modeling techniques, including dimensional modeling and semantic layer design
  • Strong analytical skills with the ability to interpret complex datasets and translate findings into actionable insights
  • 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.
  • Experience with data transformation tools (e.g., dbt)
  • Familiarity with cloud-based data platforms (e.g., Azure, AWS, Snowflake)
  • Understanding of version control tools (e.g., Git) and collaborative development practices is a plus
  • Candidate must live and work in Wisconsin
  • Eligible to work in the United States without sponsorship

About Company

What You'll Love About Rural Mutual Insurance:

We are a leading property and casualty insurance company based in Wisconsin, well known for our financial strength and longevity in the insurance industry. Our reputation in the marketplace ensures stability and opens up numerous growth opportunities for our employees.

We created a welcoming place to work with friendly and professional leadership. We are known for the great care we take with our staff, our agents, and our customers. We are passionate and determined about delivering the best customer service, preserving insurance industry knowledge, and making a difference through the work that we do.

We believe in a healthy work/life balance and, to that end, offer a competitive and comprehensive compensation package including health, dental, life, LTD, and vision insurance as well as an employee bonus plan, matching 401(k) plan, and generous time off benefits.