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

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 ...

Hearst

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... SQL Analytics) Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod ...

Hearst

Senior Data Engineer

Troy, MI · Hybrid

$100K - $136K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... SQL Analytics) Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod ...

Hearst

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... SQL Analytics) Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod ...

Hearst Newspapers

Senior Data Engineer

Troy, MI · Hybrid

$100K - $136K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... SQL Analytics) Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod ...

Hearst

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... SQL Analytics) Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod ...

MOTOR Information Systems

Senior Data Engineer

Troy, MI · Hybrid

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... SQL Analytics) Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod ...

Hearst Transportation

Senior Data Engineer

Troy, MI · On-site

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... Analytics) • Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod ...

Goldfish Swim School

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 ...

Hearst

Senior Data Engineer

Troy, MI · On-site

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... Analytics) • Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod ...

MOTOR Information Systems

Senior Data Engineer

Troy, MI · On-site

$100K - $137K/yr

Senior DATA ENGINEER at MOTOR INFORMATION SYSTEMS About MOTOR Information Systems (Hearst) MOTOR is ... Analytics) • Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod ...

3B Staffing LLC

Sr. Data Engineer / Developer

Troy, MI · On-site

$107K - $128K/yr

... analyzing data. * The Sr data engineer will work closely with various customers including their ... immediate project teams, business domain experts and other technical staff members. * Work daily ...

3B Staffing LLC

Sr. Data Engineer / Developer

Troy, MI · On-site

$107K - $128K/yr

... analyzing data. * The Sr data engineer will work closely with various customers including their ... immediate project teams, business domain experts and other technical staff members. * Work daily ...

Stellantis

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

About the Role Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into ... and analytics use cases * Promote maintainable structures, reusable components and clear lineage ...

K Anand Corporation

Senior Data Engineer

Detroit, MI · On-site

$97K - $131K/yr

Senior Data Engineer Location: Detroit, MI (Onsite) 12 Months Contract W2 Role Summary We are ... You will collaborate across engineering, analytics, and business teams in an Agile delivery model.

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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 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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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.

Senior Data Engineer

Coric Industries LLC

Southfield, MI • On-site

$145K - $155K/yr

Full-time

Posted 17 days ago

Job description

About
  • The Senior Data Engineer is responsible for the design, construction, and operation of the company’s enterprise data warehouse, consolidating data from multiple ERP platforms and supporting business systems across a nationwide, multi-site organization. This position establishes the data architecture, ingestion pipelines, and governed data models that support executive reporting, financial reconciliation, self-service business intelligence, and emerging AI-assisted analytics. As the organization’s first dedicated data engineering hire, the Senior Data Engineer partners closely with finance, sales, and operations leadership to standardize business definitions across acquired companies and to replace manual consolidation processes with reliable, auditable, automated datasets.
Reporting
  • Reports to Senior Director of Technology.
Essential Responsibilities
  • Design and implement a layered enterprise data warehouse consolidating multiple ERP systems and supporting business applications, including payroll, field service, expense management, and CRM.
  • Build and operate reliable nightly ingestion pipelines across heterogeneous sources, including relational databases, vendor data exports, REST APIs, and file-based feeds.
  • Analyze and document legacy ERP database schemas and map them to a canonical, company-wide dimensional model.
  • Develop and maintain conformed dimensions and fact tables governed by an enterprise data dictionary; participate in structured workshops with business stakeholders to capture and formalize definitions.
  • Implement automated reconciliation between the data warehouse and existing financial reporting systems, validating accuracy through successive monthly closes to an audit-ready standard.
  • Design and administer role-based access to warehouse data, including row- and column-level security for sensitive datasets such as payroll and financial records; conduct periodic user access reviews.
  • Implement and maintain internal controls over the data platform consistent with SOX-aligned IT general controls, including change management, segregation of duties, activity logging, and documented data lineage.
  • Support internal and external audit activities, responding to inquiries regarding data controls, lineage, access, and reporting accuracy.
  • Establish and enforce engineering standards, including version-controlled transformations, separate development and production environments, automated data-quality checks, and monitoring and alerting.
  • Support the business intelligence visualization layer built on the data warehouse, partnering with report developers and business users on semantic models, curated datasets, and dashboard data requirements.