1

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

The Software Engineer is an individual contributor within a team, responsible for analysis, design ... Java, Python, SQL * Experience with data modeling tools such as ERWin and XMLSpy. * Knowledge of ...

The Software Engineer is an individual contributor within a team, responsible for analysis, design ... Java, Python, SQL * Experience with data modeling tools such as ERWin and XMLSpy. * Knowledge of ...

Deputy Data Director

Madison, WI · On-site

$80K - $90K/yr

You have advanced skills in SQL, Python, and Google BigQuery, and you love creating automated ... You thrive when providing rapid-turnaround analysis and adapting to shifting electoral priorities.

Data Solution Architect

Madison, WI · On-site

$123.84K - $234.77K/yr

Leverage tools such as Python, dbt, and SQL to develop advanced data transformation and integration processes. * Optimize data storage and retrieval mechanisms to support high-performance analytics ...

New

SQL Tutor

Madison, WI · Remote

$40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

Data Engineer

Madison, WI · On-site +1

$82.13K - $102.60K/yr

... analytical solutions using Tableau, pivot tables, or other data visualization tools. 10) Experience managing and transforming large data sets with programming languages such as Python or PL/SQL. 11 ...

New

Provide business users the data required for metrics and analysis. * Develop new SQL Server Integration Services (SSIS) packages to meet business needs. * Design and develop SQL databases and write ...

Tech Lead/Data Engineer III

Madison, WI · On-site

$100.30K - $172K/yr

Write complex SQL queries to support analytics needs. Evaluate and recommend tools and technologies ... Automating data workflows using scripting languages such as Python or R. * Supporting business ...

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Strong proficiently in data analysis tools (e.g., SQL, Python, R, Excel) and visualization techniques/software (e.g. Power BI, Tableau) * Proven experience in developing and implementing data ...

Provides data, analysis and recommendations to support multiple technical operations and ensure ... SQL / PL -SQL, Perl, Shell Scripting, Campaign Management Tools, Business Intelligence Tools, ETL ...

Life Science Data Engineer

Madison, WI · On-site

$115.50K - $138.60K/yr

... SQL Server, PostgreSQL, or Oracle • Proficiency in Python, R, or Spark for data processing and analysis • Experience working with biological or experimental datasets with complex metadata ...

New

Data Engineer II

Madison, WI

$78.70K - $134.90K/yr

Write complex SQL queries to support analytics needs. Evaluate and recommend tools and technologies ... Proficiency writing complex SQL and Python queries. Preferred Qualifications * Understanding of ...

next page

Showing results 1-20

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 30, 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.
Marketing Operations Analyst

Marketing Operations Analyst

FocusKPI

Whitewater, WI

Full-time

Posted 7 days ago


Job description

FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company.

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack.

Responsibilities:

  • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns.
  • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility.
  • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA.
  • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.
  • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour.
  • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes.

Requirements:

  • Bachelor’s degree in Data Science, Computer Science, or a related field
  • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment
  • Proficiency in SQL for data manipulation and analysis. Comfortable with Python.
  • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights.
  • Exceptional attention to detail and a commitment to maintaining high data quality standards.
  • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes

No C2C resumes are considered


FocusKPI logo

About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010