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Big Data Analyst Jobs in Michigan (NOW HIRING)

Four or more years of test development experience in BI/DW Expertise in Data analysis, Data ... Datawarehouse, Big Data and BI Analytics concepts Strong experience in SQL, PL/SQL Oracle ...

Role: Jr. IT Data Analyst Location: Warren, MI Duration: Long term Rate: Market Required ... Experience working with big data in a cloud environment , particularly Azure and Databricks

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Big Query, Azure, AWS S3, etc.) • Familiarity with time series database, data streaming ...

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Develop and implement solutions using GCP, Python, Big Data technologies to enhance data analysis capabilities. * Collaborate with cross-functional teams to design and optimize data models in ...

... with big data engineering tools - Proficiency in SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel ...

... with big data engineering tools - Proficiency in SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel ...

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Big Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do big data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for big data analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

How does a big data analyst typically collaborate with data engineers and business stakeholders on projects?

A Big Data Analyst often works closely with data engineers to ensure data pipelines are properly structured and that the necessary data is accessible and clean for analysis. Collaboration with business stakeholders is also key, as analysts translate business goals into analytical questions and present insights in a way that supports decision-making. Frequent communication and iterative feedback cycles are common, with analysts acting as a bridge between technical teams and business units to ensure data-driven solutions align with organizational objectives.

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

To thrive as a Big Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with big data tools like Hadoop, Spark, SQL, and certifications in data analytics platforms are highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and share findings with stakeholders. These skills ensure accurate data-driven decision-making and enable organizations to extract meaningful value from large and complex data sets.

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

AspectBig Data AnalystData Scientist
CredentialsBachelor's in Data Analysis, Statistics, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentData analysis teams, business units, IT departmentsResearch teams, data science departments, R&D divisions
Employer & IndustryTech, finance, healthcare, retailTech, finance, healthcare, research institutions
Common Search & ComparisonYesYes

Big Data Analysts focus on processing and analyzing large datasets to extract actionable insights, often using tools like SQL and Hadoop. Data Scientists build predictive models and develop algorithms, requiring advanced statistical and programming skills. While both roles work with big data, Data Scientists typically engage in more complex modeling and research tasks, whereas Big Data Analysts concentrate on data interpretation for business decisions.

How much does a Big Data Analyst make?

The average salary for a Big Data Analyst typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, Hadoop, Spark, and data visualization tools tend to earn higher salaries, especially with certifications and advanced expertise.

What does a Big Data Analyst do?

A Big Data Analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like SQL, Hadoop, or Spark and often require strong analytical skills and knowledge of data visualization. Their work helps organizations optimize operations and develop data-driven strategies.
Infographic showing various Big Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.

Contractor

Re-posted 16 days ago


Job description

Company Description

Thanks

Vignesh

KRG Technologies Inc

661 367 8000 * 405


Job Description

Create test plans, test data , data validation SQL scripts and analyze test results

setup and maintain test environments

Design and test ETL processes in Oracle and Hadoop platforms

Write and troubleshoot SQL queries and stored procedures

Collaborate with Data Analysts, ETL developers, and other stakeholders on requirements and design

Develop scalable and reusable processes and automation frameworks for analyzing data and delivering ongoing quality metrics (leveraging SQL, PL SQL, UNIX, PYTHON, HIVE and other tools)

Qualifications:

Four or more years of test development experience in BI/DW

Expertise in Data analysis, Data migration, and Business intelligence solutions

Hands-on experience with Hadoop and tools such as Hive, Sqoop, Pig, Impala and Spark is required

Experience with Informatica is a plus

Experience working on an Agile team using test driven development

Strong understanding of Datawarehouse, Big Data and BI Analytics concepts

Strong experience in SQL, PL/SQL Oracle, Informatica & Tableau

Demonstrated experience implementing automation frameworks using scripting languages/tools like Shell, Java, Python

Experience with Jenkins CI platform

Deep knowledge and hands-on experience with iterative (Agile/Scrum) and waterfall development methodologies

Additional Information

All your information will be kept confidential according to EEO guidelines.


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About KRG Technologies

Sourced by ZipRecruiter

KRG Technologies was founded with a simple motive of offering the clients exactly what they want, how they want and when they want. By leveraging for its clients its technological edge and right-sourcing advantage, KRG in a short period of time has grown to become one of the most trusted strategic technology partners. Treating every client as the top priority, we customize our solutions and services to align with the unique needs of each client. Headquartered in Valencia, California, KRG employs a unique global delivery platform to minister its offerings spanning from application development and maintenance to business process reengineering. With years of hands-on domain experience and international presence, we offer state-of-the-art solutions backed by our follow-the-sun service model in the most cost effective manner. We value our clientele for the trust reposed in us and our clientele admire us for our personalized approach and deep commitment to their success. Our biggest strength lies in technical expertise of our team and individual competency of our employees, which enables us to be the most befitting solution provider.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Valencia, CA, US

Year founded

2003

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