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Senior Data Analyst Jobs in Rochester Hills, MI (NOW HIRING)

Technomics, Inc.

Data Analyst

Troy, MI · On-site

We enable a wide range of clients across the Federal government, from senior level policy makers to ... Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ...

Goldfish-Swim-School

Sr Data Architect

Troy, MI · On-site

$150 - $200/hr

The Sr Data Architect serves as the primary hands-on owner across systems, data flows, and ... Data, Reporting & Analytics: Maintain and expand reporting across Salesforce, iClassPro, and ...

Goldfish Swim School Franchising

Sr Data Architect

Troy, MI · On-site

$64 - $85.50/hr

The Sr Data Architect serves as the primary hands-on owner across systems, data flows, and ... Data, Reporting & Analytics: Maintain and expand reporting across Salesforce, iClassPro, and ...

Goldfish Swim School

Sr Data Architect

Troy, MI · On-site

$125 - $150/hr

The Sr Data Architect serves as the primary hands-on owner across systems, data flows, and ... Data, Reporting & Analytics: Maintain and expand reporting across Salesforce, iClassPro, and ...

R3 Tek

Data Analyst

Detroit, MI · On-site

$45/hr

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 ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

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

SupportFinity™

Data Analyst

Southfield, MI · On-site

$80 - $100/hr

This is a Technical Data Analyst role. The candidate would be expected to help develop analytic reports and dashboards for existing business and new opportunities. Day‑to‑Day Responsibilities

HCLTech

Data Analyst

Farmington Hills, MI

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: -%28Non-Voice%29/152865-en_US ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Data Analyst Location: Warren, MI (Hybrid) Duration: Long tern Rate: Market Key Responsibilities * Partner with business subject matter experts to gather and document analytical requirements

Georgetown University

Data Analyst

Detroit, MI · On-site

$250/hr

Job Overview Data Analyst for Infectious Diseases Clinical Trials Unit will work with and assist the Clinical Research Coordinator, Regulatory Specialist, and Clinical Trial Manager by entering data ...

Integrated Resources INC

DATA ANALYST

Detroit, MI

... for analyzing programs, processes, and procedures to extract, transform, integrate, and load data into data systems (Interface testing, debugging and implementation) Knowledge of data system ...

Coric Industries LLC

Senior Data Engineer

Southfield, MI · On-site

$145K - $155K/yr

The Senior Data Engineer is responsible for the design, construction, and operation of the company ... Analyze and document legacy ERP database schemas and map them to a canonical, company-wide ...

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Showing results 21-40

All JobsData Analyst JobsSenior Data Analyst JobsSenior Data Analyst Jobs in Rochester Hills, MI

Senior Data Analyst information

See Rochester Hills, MI salary details

$50.6K

$91.3K

$124.7K

How much do senior data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior data analyst in Rochester Hills, MI is $91,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $99,900.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

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

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
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For Senior Data Analyst jobs in Rochester Hills, MI, the most frequently searched job titles are:

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Senior Data Analyst jobs near you
Infographic showing various Senior Data Analyst job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $91,337 per year, or $43.9 per hour.

Data Analyst

Technomics, Inc.

Troy, MI • On-site

Full-time

Posted 19 days ago

Job description

Overview
Technomics is a growing employee-owned, decision analytics company that provides professional services and management solutions to help our clients make better decisions faster . We enable a wide range of clients across the Federal government, from senior level policy makers to program managers, to choose smartly, buy effectively and operate efficiently . We deliver practical, credible and defensible results offering actionable insights by applying data-driven and analytics-based approaches in combination with multidisciplinary talent, subject matter expertise, and tangible and repeatable assets in the form of databases, models, approaches and techniques.
Analysts have the knowledge, skills, abilities and initiative to deliver timely, practical and innovative solutions to our clients as part of high-performing project teams typically composed of a mix of junior and mid-level analysts.
Our employee-owners pride themselves on their ability to apply deep analytical rigor and innovative thought that assist clients in understanding and solving a myriad of challenging resource planning and management problems.
This position is located in Troy, MI.
Position-Specific Overview
Data Analysts will support a U.S. Government client in developing data-driven solutions using Palantir Foundry and related technologies. The role will support data integration, transformation, analytics, and user-facing applications that improve access to mission and business information.
The individual will work with technical teams and end users to develop data pipelines, analytical workflows, and applications, translate requirements into practical solutions, and support testing and implementation. Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development, cloud technologies, and UX/UI design. Direct Palantir Foundry experience is preferred but not required.
Responsibilities and Qualifications
  • Develop, maintain, and improve data pipelines, transformations, analytical workflows, and user-facing data products in Palantir Foundry and related technologies.
  • Work with client stakeholders and technical teams to understand requirements, troubleshoot data issues, and translate business needs into practical analytical solutions.
  • Analyze, clean, integrate, and validate data from multiple sources to support reporting, analysis, and operational workflows.
  • Develop queries, scripts, dashboards, applications, and other analytical products using tools such as Python, SQL, JavaScript/TypeScript, and low-code applications.
  • Support data modeling, database design, testing, documentation, and deployment of new capabilities.
  • Apply UX/UI and user-centered design principles to improve the usability of dashboards, workflows, and analytical applications.
  • Use modern software development practices including Git, testing, version control, and collaborative development.

Minimum Qualifications
  • 2+ years of experience in data analytics, data engineering, software development, or a related technical field.
  • Experience with Python, SQL, and JavaScript/TypeScript.
  • Experience developing ETL/ELT pipelines and working with relational databases and structured data.
  • Experience with low-code application development, cloud technologies, or UX/UI design.
  • Ability to work directly with users to understand requirements and develop data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications
  • Experience with Palantir Foundry or comparable data and analytics platforms.
  • Experience with PySpark, Spark, or other large-scale data processing technologies.
  • Experience integrating practical AI capabilities, such as LLMs or machine learning models, into user-facing applications, workflows, or analytical products.
  • Prior experience supporting U.S. Government clients or working in regulated environments.

Technomics is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to protected status under applicable law, including disability and protected veteran status.

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