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

Strategic Staffing Solutions

Sr. Data Analyst

Detroit, MI · Hybrid

$85K - $107K/yr

Senior Data Analyst Location: Detroit, MI (Hybrid) Duration: 12 Month Contract Job Summary The Senior Data Analyst will lead the identification, evaluation, and development of analytics, AI ...

Rock Connections

Senior Data Analyst - Product

Detroit, MI

$85K - $107K/yr

As a Senior Data Analyst for Rocket Loans, you'll be a strategic partner to our leadership, collecting, analyzing, and reporting on data that drives operational excellence. You'll work closely with ...

Stantec

Senior Data Architect

Detroit, MI · On-site

$66.50 - $89/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Experience: 10+ years of experience in data architecture, data analysis, or related IT roles, with ...

Stantec

Senior Data Architect

Detroit, MI · On-site

$61.50 - $82.25/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Experience: 10+ years of experience in data architecture, data analysis, or related IT roles, with ...

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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 Aug 16, 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.
More about Senior Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Rochester Hills, MI?

The most popular types of Data Analyst jobs in Rochester Hills, MI are:

What are popular job titles related to Senior Data Analyst jobs in Rochester Hills, MI?

For Senior Data Analyst jobs in Rochester Hills, MI, the most frequently searched job titles are:

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

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

What cities near Rochester Hills, MI are hiring for Senior Data Analyst jobs?

Cities near Rochester Hills, MI with the most Senior Data Analyst job openings:

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 2% Internship, 81% Full Time, 2% Part Time, 2% Temporary, and 13% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $91,337 per year, or $43.9 per hour.

Sr. Data Analyst

Strategic Staffing Solutions

Detroit, MI • Hybrid

$85K - $107K/yr

Contractor

Posted 4 days ago

Job description

Job Description Senior Data Analyst Location: Detroit, MI (Hybrid) Duration: 12 Month Contract Job Summary The Senior Data Analyst will lead the identification, evaluation, and development of analytics, AI, automation, and digital transformation use cases that deliver measurable business value. This role works closely with business stakeholders to understand strategic priorities, define product requirements, assess opportunities, and develop business cases and implementation roadmaps. The consultant will serve as a bridge between business, analytics, and technology teams to drive successful delivery and value realization.

Key Skills & Experience Strong business acumen and stakeholder management skills Experience with AI, analytics, automation, and digital transformation initiatives Product Requirement Document (PRD) development and business case creation Use case evaluation, prioritization, and feasibility analysis SQL and Python proficiency Statistics, forecasting, experimentation, and decision analytics Knowledge of data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality Executive-level communication and presentation skills Experience translating business requirements into actionable technical requirements Core Competencies Business Acumen Product Strategy & Product Management Use Case Vetting & Prioritization PRD Development Feasibility & Viability Analysis Statistics & Decision Analytics SQL & Python Proficiency Data & Solution Architecture Awareness Executive Communication Value Realization Stakeholder Management Strategic Road mapping

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