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Data Engineer Data Analyst Jobs in Detroit, MI (NOW HIRING)

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 ...

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

We are seeking a strategic and hands-on Data Engineer to support Purchasing and Finance Analytics and Programs within our North America Data & AI team. Data engineering is the practice of making the ...

Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Engineer

Detroit, MI

$113K - $136K/yr

Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower ...

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

We are seeking a strategic and hands-on Data Engineer to support Purchasing and Finance Analytics and Programs within our North America Data & AI team. Data engineering is the practice of making the ...

... analyzing programs, processes, and procedures to extract, transform, integrate, and load data into ... programming languages and tools (Oracle 12c; MS SQL Server 2012) Knowledge of logical data modeling ...

Data Engineer

Dearborn, MI · Hybrid

$115K - $192K/yr

Uniquely, this role bridges the gap between traditional data engineering and DevOps, as you will ... Data Analysis & Modeling: Write advanced SQL queries and utilize Python to clean, transform, and ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks * Ensure optimum performance and identify improvement ...

Data Analyst Location: Warren, MI (Hybrid) Duration: Long term Rate: Market Key Responsibilities * Define reporting strategies and requirements through collaboration with GPSC leadership and ...

Data Analyst Location:Detroit,MI Duration:Long Term OVERVIEW * The Data Analyst must be able to lead discussions with internal and external customers. * Must be able to take charge and drive results ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for Data Engineer , Dearborn, MI For quick apply, please reach out to Adil ... Ensure data is standardized, high-quality, and optimized for analytical use.Leverage tools and ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Azure Data Engineer

Ann Arbor, MI · On-site

$55 - $57/hr

... Data & Analytics) programs Collaborate with offshore teams, as applicable, to ensure end-to-end ... Azure Data Engineering stack Azure Databricks Azure data services(ADF, Key Vault, ADLS, Blob ...

New

Data Engineer

Dearborn, MI · Hybrid

$115K - $192K/yr

Data Analysis & Modeling: Write advanced SQL queries and utilize Python to clean, transform, and ... Master's Degree in Computer Science, Data Engineering, or a related quantitative field. 5+ years of ...

Data Engineer

Dearborn, MI · On-site

$115K - $192K/yr

Data Analysis & Modeling: Write advanced SQL queries and utilize Python to clean, transform, and ... Master's Degree in Computer Science, Data Engineering, or a related quantitative field. * 5+ years ...

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Build SQL-based reports and perform advanced data analysis Skills Required: SQL, Python, SaaS Experience Required: Engineer 3 Exp: 7+ years Data Engineering work experience Education Required:

GCP Data Engineer Location : Dearborn, Michigan (Onsite) Term : C2C/W2 role Exp : 10+ Yrs : Basic ... This role will collaborate closely with product owners, analysts, and business stakeholders to ...

Showing results 41-60

Data Engineer Data Analyst information

See Detroit, MI salary details

$33.7K

$81.8K

$134.6K

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

As of Sep 1, 2026, the average yearly pay for data engineer data analyst in Detroit, MI is $81,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What job categories do people searching Data Engineer Data Analyst jobs in Detroit, MI look for?

The top searched job categories for Data Engineer Data Analyst jobs in Detroit, MI are:

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

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

Infographic showing various Data Engineer Data Analyst job openings in Detroit, MI as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution, with an average salary of $81,811 per year, or $39.3 per hour.

Full-time

Posted 14 days ago


Job description

Data Analyst

Farmington Hills, Michigan (Onsite) Working Hours and Time zone: 8:30 AM to 5 PM EST, Monday through Friday  

If interested please apply through this link: https://careers.hcltech.com/job/Analyst-%28Non-Voice%29/152865-en_US/

Job Description We are looking for a Data Analyst to support business operations through data analysis, reporting, and process automation. The ideal candidate will develop interactive dashboards, analyze large datasets, automate workflows, and provide actionable insights that drive operational efficiency and informed decision-making. This role requires close collaboration with business stakeholders to understand reporting needs and deliver scalable analytical solutions.

 Scope of the Work • Work closely with business and client stakeholders to understand objectives, challenges, and opportunities. • Gather, analyze, and interpret data from multiple sources to support decision-making. • Design, develop, and maintain Power BI dashboards and reports to monitor business performance and operational KPIs. • Clean, transform, and integrate data from multiple sources using Power Query and SQL. • Analyze productivity, quality, customer satisfaction (CSAT), SLA compliance, and workforce performance metrics to identify trends and improvement opportunities. • Build scorecards, ranking models, eligibility calculations, and executive-level reports to support business decisions. • Develop and maintain Power Apps and Power Automate workflows to streamline operational processes and reduce manual effort. • Ensure data accuracy through validation, troubleshooting, and continuous monitoring of reporting processes. • Prepare presentations and reports for leadership, providing insights and recommendations based on data analysis.

Must Have: • 2-3 years of experience in Data Analytics, Business Analytics, or a similar role. • Strong presentation and data storytelling skills, with the ability to communicate insights effectively to business and executive stakeholders. • Strong SQL skills with experience working on large and complex datasets. • Hands-on experience with Power BI, including dashboard development and data modelling. • Advanced Excel skills, including Pivot Tables, Power Query, lookups, and data analysis functions. • Proficiency in Microsoft 365 tools (SharePoint, Excel, Outlook, Teams, Word, PowerPoint, OneNote) • High attention to detail ensuring accuracy and quality of deliverables. • Strong analytical and problem-solving capabilities. • Excellent verbal and written communication skills.

Good to have: • Microsoft Power BI Certification (PL-300) or equivalent Business Intelligence certification. • Google Cloud Platform (GCP), AWS, or Azure cloud certification or Experience working with cloud-based data platforms, data warehouses, and modern analytics ecosystems. • Demonstrated ability to identify opportunities for process improvement and drive data-led innovation initiatives. • Experience working in a client-facing, consulting, or stakeholder-intensive environment.

What this role is NOT: • A dashboard maintenance role or solely data extraction and reporting role. • A purely technical role with limited business or stakeholder interaction.  


HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We re powered by our people a global, diverse, multigenerational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving.

Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

To learn more about how we can supercharge progress for you, visit our website