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Software Engineer Data Analyst Jobs in Madison, WI

About Software Engineering Roles at Danaher Are you passionate about building real-world ... Strong analytical and debugging skills * Comfortable working independently and in cross-functional ...

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML ... Our software and information solutions help collect and connect a farm's data - from herd ...

About Software Engineering Roles at Danaher Are you passionate about building real-world ... Strong analytical and debugging skills * Comfortable working independently and in cross-functional ...

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML ... Our software and information solutions help collect and connect a farm's data - from herd ...

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML ... Our software and information solutions help collect and connect a farm's data - from herd ...

Data Engineer

Watertown, WI

$109K - $131K/yr

Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML ... Our software and information solutions help collect and connect a farm's data - from herd ...

About Software Engineering Roles at Danaher Are you passionate about building real-world ... Strong analytical and debugging skills * Comfortable working independently and in cross-functional ...

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML ... Our software and information solutions help collect and connect a farm's data - from herd ...

Showing results 41-60

Software Engineer Data Analyst information

See Madison, WI salary details

$44.8K

$130.7K

$178.9K

How much do software engineer data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for software engineer data analyst in Madison, WI is $130,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $138,600.00 per year, depending on experience, location, and employer.

What is a software engineer data analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.

How do software engineer data analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

What are the key skills and qualifications needed to thrive as a software engineer data analyst, and why are they important?

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

Lead Strategic Partnership Data Analyst (Hybrid)

American Family Mutual Insurance Company Si

Madison, WI • Hybrid

$111K - $189K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


American Family Insurance rating

7.5

Company rating: 7.5 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

226th of 315 rated insurance


Job description

The Lead Strategic Partnership Data Analyst turns data into clear, actionable insights that support National Accounts. You will identify what is driving performance and influence decisions with fact-based recommendations. You will also create advanced data visualization and executive-ready presentations, translating complex findings into clear stories and dashboards for leadership audiences. This role partners closely with account executives, data engineers and finance, so the ability to communicate credibly at both technical and business levels is essential for success. You will report to the Senior Manager, Data Analytics.
In this flex office/home role, you will be expected to work a minimum of 10 days per month from one either Madison, WI 53783 or Boston, MA 02110
Internal candidates are encouraged to apply and should review the internal mobility guidelines in the hybrid policy reference guide for more information on potential relocation. Depending on the candidate pool, this position may be filled at a lower level to maintain alignment with experience and qualifications.
We will not consider candidates who require current or future sponsorship for this position.

Position Compensation Range:

$111,000.00 - $189,000.00

Pay Rate Type:

Salary

Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

Primary Accountabilities

  • You will conduct accurate and timely business analysis and reporting to support and drive business decisions using statistical modeling and other business analysis tools.
  • You will collaborate with key stakeholders to define key financial and operational metrics to continuously monitor, track, and report performance.
  • You will collaborate with business partners in the development and delivery of key performance analysis and reporting.
  • You will build and maintain models used to project business results; enhances the model where there is business value in adjusting the models.
  • You will ensure analysis and reporting accuracy and integrity and explains performance drivers and provides insights into performance trends.
  • You will analyze and address data quality issues, tests and analyzes impact of system changes to data/reporting infrastructure.
  • You will develop, test, and deploy automated reporting solutions and automated decision analytics to replace manual business processes.
  • You may be requested to complete other assignments or participate in projects based upon skills, achievements, or experience.


Specialized Knowledge & Skills Requirements

  • Big Querry/SQL script writing experience required
  • Insurance product and pricing domain knowledge
  • Solid knowledge and understanding of forecasting techniques or statistical analysis.
  • Demonstrated strong experience utilizing data tools such as R and Python to build complex formulas and create reports.
  • Data visualization experience with BI tools such as Tableau
  • Knowledge of a variety of standard reporting software packages and best practices for report deployment processes.
  • Demonstrated experience developing data sets.
  • Demonstrated experience providing customer-driven solutions, support or service.
  • Willingness and ability to travel up to 10%.
Additional Information
  • To ensure a strong start, all employees participate in our New Employee Orientation during their first week. This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth. At times, sessions may be delivered virtually based on scheduling and availability.
  • Offer to selected candidate will be made contingent on the results of applicable background checks
  • Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
  • Sponsorship will not be considered for this position unless specified in the posting

Additional Qualifications

  • Experience analyzing the customer journey across web and digital and contact center distribution channels.
  • Experience using data to understand and optimize how channel interactions and product and price decisions influence customer outcomes.
  • Comfort efficiently working through ambiguity to produce reliable, analysis-ready outputs.
  • Experience using statistical analysis, explanatory and predictive modeling, and AI-enabled tools

#LI-Hybrid

We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.


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