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Full Time Retail Data Analyst Jobs in Rochester Hills, MI

Analyze customer, product, market, cost, and competitive data to identify pricing opportunities ... retail automotive, or related industrial channels. * Knowledge of U.S. and Canadian aftermarket ...

Analyze customer, product, market, cost, and competitive data to identify pricing opportunities ... retail automotive, or related industrial channels. * Knowledge of U.S. and Canadian aftermarket ...

Data Engineer

Detroit, MI · On-site

$112K - $152K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

You'll also contribute to building the analytics capabilities OneMagnify delivers at scale. That ... The work spans industries and problem types (automotive, retail, financial services, and more) so ...

You'll also contribute to building the analytics capabilities OneMagnify delivers at scale. That ... The work spans industries and problem types (automotive, retail, financial services, and more) so ...

We are seeking a highly analytical and results-oriented Senior Data Scientist to drive ... Employees are eligible for a variety of health and welfare benefits based on their Full-time or ...

New

We are seeking a highly analytical and results-oriented Senior Data Scientist to drive ... Employees are eligible for a variety of health and welfare benefits based on their Full-time or ...

New

Showing results 21-40

Full Time Retail Data Analyst information

See Rochester Hills, MI salary details

$10.1K

$63.8K

$87K

How much do full time retail data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for full time retail data analyst in Rochester Hills, MI is $63,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,200.00 and $72,300.00 per year, depending on experience, location, and employer.

What does a full time retail data analyst do?

A Full Time Retail Data Analyst is responsible for collecting, analyzing, and interpreting data related to retail sales, inventory, customer behavior, and market trends. They use statistical tools and software to identify patterns and insights that help improve business decisions, optimize inventory, and enhance customer experience. Their work supports strategic planning, marketing efforts, and overall business performance in a retail environment.

What are some common challenges a full time retail data analyst faces when interpreting sales data from multiple store locations?

A Full Time Retail Data Analyst often encounters challenges such as data inconsistencies between locations, integrating data from various point-of-sale systems, and accounting for regional differences in customer behavior. Effective analysts must ensure data accuracy and standardization while also contextualizing trends that may be influenced by local events or promotions. Collaborating closely with store managers and IT teams is key to resolving discrepancies and gaining actionable insights that drive business decisions.

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

To thrive as a Full Time Retail Data Analyst, you need strong analytical abilities, proficiency in statistics, and a relevant degree such as in mathematics, business, or data science. Expertise with data analysis tools like Excel, SQL, Power BI, and often Python or R, as well as experience with retail management systems, is typically required. Attention to detail, problem-solving, and effective communication are standout soft skills for interpreting data and sharing insights with stakeholders. These competencies enable analysts to make informed recommendations that drive sales, optimize inventory, and improve overall business performance.

What is the difference between Full Time Retail Data Analyst vs Part Time Retail Data Analyst?

AspectFull Time Retail Data AnalystPart Time Retail Data Analyst
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
CredentialsRelevant degree in data analysis, statistics, or related fieldSame as full-time, but may require less experience
Work EnvironmentFull-time retail stores, corporate offices, or warehousesSimilar environments, often with flexible scheduling
Employer UsageCommonly employed by retail chains for ongoing data analysisUsed for specific projects or seasonal analysis

Full Time Retail Data Analysts work regular hours and are employed on a permanent basis, focusing on ongoing data insights. Part Time Retail Data Analysts work fewer hours, often on a temporary or flexible basis, suitable for seasonal or project-specific needs. Both roles require similar skills and credentials but differ mainly in hours and employment stability.

What job categories do people searching Full Time Retail Data Analyst jobs in Rochester Hills, MI look for?

The top searched job categories for Full Time Retail Data Analyst jobs in Rochester Hills, MI are:

What cities near Rochester Hills, MI are hiring for Full Time Retail Data Analyst jobs?

Cities near Rochester Hills, MI with the most Full Time Retail Data Analyst job openings:

Infographic showing various Full Time Retail Data Analyst job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $63,845 per year, or $30.7 per hour.

Senior Data Scientist Location:- Auburn Hills,MI Duration:- Full Time

Siri InfoSolutions Inc

Troy, MI • On-site

Full-time

Re-posted 18 days ago


Job description

Senior Data Scientist

Location:- Auburn Hills,MI

Duration:- Full Time

Job Description

  • Proficiency in Python or R for data analysis and modeling.
  • Strong knowledge of SQL and working with relational databases.
  • Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, XGBoost etc). 
  • Experience in Forecasting will be added advantage"
  • Solid understanding of statistics, probability, and hypothesis testing.
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI).
  • Experience with big data tools (e.g., Spark, Hadoop).
  • Knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow).
  • Familiarity with cloud platforms like AWS, GCP, or Azure.
  • Experience in MLOP's and CI/CD work flow
  • Expeirence in developing end to end pipeline in any of cloud platform (AWS,Azure etc.) 

 

Siri Infosolutions logo

About Siri Infosolutions

Sourced by ZipRecruiter

Our team of experts first gather each and every requirement of yours. Our research and development team then sit around those requirements and come up with a plan. Our implementation team then executes that plan for optimal results. After that our support team remains in constant touch with you during and after the entire process.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Edison, NJ, US

Year founded

2005