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Software Engineer Data Analyst Jobs in Warren, MI

FDSP is a collection of cloud-based Java microservices and data repositories that interfaces with ... Strong communication, interpersonal, analytical, troubleshooting, and problem-solving skills ...

Bachelors Degree in Computer Science, Software Engineering, Computer Engineering, Electrictrical ... data extraction, transformation, reporting, or analytics use cases. * 5+ years of experience ...

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

Data Analyst Farmington Hills, Michigan (Onsite) Working Hours and Time zone: 8:30 AM to 5 PM EST ... digital, engineering, cloud and AI, powered by a broad portfolio of technology services and ...

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

Maintain high code quality, lead by example in reviews, conduct root-cause analysis on agent ... Work with Product, Data Engineering, and Platform teams; mentor others, support sprint planning ...

... Cloud-based analytics backend. This is a hands-on role for an engineer who is passionate about ... Data Architecture: Design and manage data pipelines using Google Cloud tools (BigQuery, Postgres ...

Data Engineer

Warren, MI ยท On-site

$45 - $50/hr

As a Data Engineer, you will build industrialized data assets and data pipelines in support of ... Analyze and review enhancement requests and specifications * Implement system software and ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and ... Software Development * Big Data * Data/Analytics * ETL * Application Development * Google Cloud ...

Senior Software Engineer I

Birmingham, MI ยท On-site

$116K - $154K/yr

... and analytical needs of large enterprises. OneStream operates at enterprise scale, supporting ... Ensure JSON and XML data contracts, schemas, and integrations are well designed, documented, and ...

Senior Software Engineer I

Rochester, MI ยท On-site

$112K - $148K/yr

... and analytical needs of large enterprises. OneStream operates at enterprise scale, supporting ... Ensure JSON and XML data contracts, schemas, and integrations are well designed, documented, and ...

Data Engineer

Warren, MI ยท On-site

$45 - $50/hr

As a Data Engineer, you will build industrialized data assets and data pipelines in support of ... Analyze and review enhancement requests and specifications * Implement system software and ...

Senior Software Engineer I

Rochester, MI ยท On-site

$112K - $148K/yr

... and analytical needs of large enterprises. OneStream operates at enterprise scale, supporting ... Ensure JSON and XML data contracts, schemas, and integrations are well designed, documented, and ...

Showing results 41-60

Software Engineer Data Analyst information

See Warren, MI salary details

$41.8K

$121.8K

$166.7K

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

As of Sep 1, 2026, the average yearly pay for software engineer data analyst in Warren, MI is $121,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $129,100.00 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 Warren, MI are hiring for Software Engineer Data Analyst jobs?

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

BI Data Analyst With GCP (W2 Position)

Megan soft Inc

Dearborn Heights, MI โ€ข On-site

Other

Re-posted 12 days ago


Job description

Hi We have a job opportunity of a Role BI Data Analyst With GCP with given job description on W2. Please forward updated profile to Koti@megansoft.com or +1  (248) 671-4750.

Role: BI Data Analyst With GCP (W2 Position)

Location: Dearborn, MI (Hybrid)

Duration: 12+ Months

Experience: 6+ Years

JD:

Skills Required:

  • Data Mining, Data Analysis, Data Warehousing, Data/Analytics dashboards, Data Model, Data Integrity, Visual Design, Analytical skills, Analyst, Artificial Intelligence & Expert Systems

Skills Preferred:

  • GCP, Big Query, Data/Analytics dashboards, SonarQube, Business Intelligence, Artificial Intelligence & Expert Systems

Experience Required:

  • Senior Associate Exp: 3 to 5 years experience in relevant field

Key Responsibilities

  • Create strong business partnership for intelligent solutions through stakeholder interviews and solution designs
  • Own the design, implementation and maintenance of ongoing metrics, reports, analyses and end-user tools to drive key business decisions. Use advanced visualization tools like Qlik, Dash Enterprise, Tableau, PowerBI etc.
  • Conduct deep-dive analysis of business problems and data issues to formulate recommendations for business improvement and technical efficiency. Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc.
  • Identify and implement avenues to optimize and enhance data analysis, interpretation and visualization tools, techniques and methodologies for functional analysts
  • Design and implement new metrics, techniques and strategies to improve business KPI, metrics unity and end-user adoption
  • Partner with Data Engineering, Data Science and Data Management teams to improve data completeness, usability, and performance
Thanks & Regards
Azmeera koti
Megan Soft, Inc.
17177 N. Laurel Park Dr;
Suite #337, Livonia, MI - 48152.
Direct No: +1  (248) 671-4750
E Mail : Koti@megansoft.com
Website : www.megansoft.com
Linked In ID : www.linkedin.com/in/koti-azmeera-104253335