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Software Engineer Data Analyst Jobs in Flint, MI

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

New

QA Analyst

Frankenmuth, MI · On-site +1

$60K - $68K/yr

Understanding of DevOps practices and their role in the software development lifecycle * Detail ... Excellent analytical and communication skills * Ability to work effectively in a fast-paced, team ...

Understanding of DevOps practices and their role in the software development lifecycle * Detail ... Excellent analytical and communication skills * Ability to work effectively in a fast-paced, team ...

Industrial Engineer

Flint, MI · On-site

$68K - $91K/yr

Industrial Engineer | Flint, MI We are looking for an experienced Industrial Engineer for a 12 ... both data analysis and hands-on production floor problem solving . 📩 Interested? Send me your ...

Be Seen First

This is a highly collaborative, hands-on position that combines data analysis and engineering work with significant interaction on the production floor. Key Responsibilities: * Develop, document, and ...

Be Seen First

Industrial Engineer

Flint, MI · On-site

$53 - $58/hr

... or similar CAD software. * Analyze production processes, statistical data, and product ... Review production schedules, engineering specifications, orders, and related information to ...

Industrial Engineer 4

Flint, MI · On-site

$68K - $90K/yr

... analysis and production coordination. A typical Industrial Engineer is tasked with increasing ... Job Responsibilities: • Review statistical data and product specifications to determine standards ...

Board Certified Behavior Analyst

Waterford, MI · On-site

$73K - $90K/yr

Creates an ongoing data collection system to establish baseline and programmatic efficacy for all students and to analyze data on a frequent and ongoing basis to guide programming. * Participates in ...

... Field Data Collection, and Client Design Standards. Your greatest work is ahead! Travel: This ... Perform functional tasks, planning, and/or customer follow-up * Perform scope analysis of work ...

Industrial Engineer

Flint, MI · On-site

$68K - $92K/yr

Maintain accurate time studies through motion analysis and application of standard time data ... Maintain accurate workstation layouts using computer aided drafting software (AutoCAD). * Drive ...

Industrial Engineer

Flint, MI · On-site

$68K - $92K/yr

Maintain accurate time studies through motion analysis and application of standard time data ... Maintain accurate workstation layouts using computer aided drafting software (AutoCAD).Drive ...

Industrial Engineer

Flint, MI · On-site

$68K - $92K/yr

Maintain accurate time studies through motion analysis and application of standard time data ... Maintain accurate workstation layouts using computer aided drafting software (AutoCAD). * Drive ...

Showing results 21-40

Software Engineer Data Analyst information

See Flint, MI salary details

$43.3K

$126.2K

$172.7K

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 Flint, MI is $126,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $133,800.00 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.

What cities near Flint, MI are hiring for Software Engineer Data Analyst jobs?

Cities near Flint, MI with the most Software Engineer Data Analyst job openings:

Spring 2027 Intern - Data Analytics

Workiva

Flint, MI • On-site

$22/hr

Other

Retirement

Posted 3 days ago

New


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies


Job description

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our marketing team to identify new use cases for Wdesk and suggest product improvements related to the ESMA mandate.

What You'll Do

  • Perform market research on the European Securities and Markets Authority (ESMA) mandate
  • Collect information on companies’ current compliance with ESMA disclosure requirements and gather information comparing current state to present and potential future Wdesk functionality
  • Analyze data to drive decision-making on new features of Wdesk
  • Suggest new product development priorities for Wdesk after gathering market data
  • Analyze use of Wdesk by current customers in the EU

What You'll Need

Minimum Qualifications

  • Currently enrolled in a degree-seeking program from an accredited university

Preferred Qualifications

  • A research mentality
  • Proven ability to analyze data
  • Excellent verbal, written, and interpersonal communication skills
  • Self-motivated with strong propensity for action, results, and continuous improvement
  • The ability to work successfully in a high-energy, fast-paced, rapidly changing environment
  • Exceptional organizational skills with the ability to multi-task and manage multiple processes, programs, and procedures simultaneously while working under pressure to meet deadlines
  • Experience using Excel to collect and analyze data

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely and not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships : Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $22.00 - $22.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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