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Exl Service Data Analyst Jobs in Rochester Hills, MI

Masco Corporation

Enterprise Data Architect

Livonia, MI · On-site

Contribute to budgeting and investment decisions for enterprise data platforms, services, and tools ... BU Analytics, HQ data stewards, and governance forums: Act as design authority in attribution and ...

Ford Motor Company

Data Governance Analyst

Dearborn, MI · On-site

  • Medical

  • Dental

  • Life

  • PTO

Strong analytical, problem-solving, customer-service, written, and verbal communication skills ... Knowledge of data management tools, data standards, and enterprise data governance practices

Pwc

Data Strategy-Manager

Detroit, MI

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... client service - Maintain the delivery of quality work while adhering to ethical standards - Collaborate on innovative projects that advance data management and analytics - Utilize advanced ...

Pwc

Data Governance- Manager

Detroit, MI

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... As a Manager, you will supervise, develop, and coach teams while managing client service accounts ...

Masco Corporation

Data Engineering Leader

Livonia, MI · On-site

Advanced hands-on expertise with Databricks and the Azure data stack (Data Factory, Data Lake, Synapse, Analysis Services). * Deep working knowledge of the medallion architecture (bronze / silver ...

Munich Re

Technical Architect - Data, Analytics & AI

Detroit, MI · Hybrid

$63 - $81/hr

  • Medical

  • Life

  • Retirement

  • PTO

Azure AI Studio, Azure Data Services and tools) * AWS (e.g.; Amazon Bedrock, Sagemaker, Data ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

Munich Re

Technical Architect - Data, Analytics & AI

Livonia, MI · Hybrid

$59.75 - $76.75/hr

  • Medical

  • Life

  • Retirement

  • PTO

Azure AI Studio, Azure Data Services and tools) * AWS (e.g.; Amazon Bedrock, Sagemaker, Data ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

Munich Re

Technical Architect - Data, Analytics & AI

Dearborn, MI · Hybrid

$58.75 - $75.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

Azure AI Studio, Azure Data Services and tools) * AWS (e.g.; Amazon Bedrock, Sagemaker, Data ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

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Showing results 41-60

All JobsExl Service Data Analyst JobsExl Service Data Analyst Jobs in Rochester Hills, MI

Exl Service Data Analyst information

See Rochester Hills, MI salary details

$31.3K

$76.1K

$125.2K

How much do exl service data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for exl service data analyst in Rochester Hills, MI is $76,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $89,300.00 per year, depending on experience, location, and employer.

What is an EXL Service data analyst?

Exl Service Data Analysts are professionals who work at EXL Service, a global analytics and digital solutions company. They are responsible for collecting, analyzing, and interpreting large sets of data to help organizations make informed business decisions. Their role typically involves data cleaning, data visualization, preparing reports, and providing actionable insights for clients across various industries. Data Analysts at EXL often use tools like SQL, Excel, Python, and visualization platforms such as Power BI or Tableau. They collaborate closely with business teams to solve complex problems and drive efficiency using data-driven approaches.

What is the difference between Exl Service Data Analyst vs Exl Service Business Analyst?

AspectExl Service Data AnalystExl Service Business Analyst
Primary FocusData collection, analysis, and reportingBusiness process improvement and requirements gathering
Skills & CertificationsData analysis tools, SQL, Excel, certifications like Microsoft Excel or TableauBusiness analysis, process modeling, stakeholder communication
Work EnvironmentData-driven projects within finance, healthcare, or insurance sectorsBusiness process and project management within similar industries

While both roles work within the same industry and often share skills like analytical thinking, the Exl Service Data Analyst primarily focuses on analyzing data sets to support decision-making. In contrast, the Exl Service Business Analyst concentrates on understanding business needs and improving processes. Both roles are essential but serve different functions within organizations.

Is it still worth it to become a data analyst in 2026?

Data analysts remain in demand in 2026 due to the ongoing growth of data-driven decision making across industries. Skills in SQL, Excel, and data visualization tools like Tableau or Power BI are valuable, and certifications can enhance job prospects. The role offers opportunities for career advancement and specialization in areas such as data science or analytics management.

What are some common challenges faced by data analysts at EXL Service, and how can they be addressed?

Data Analysts at EXL Service often encounter challenges such as managing large and complex datasets, ensuring data accuracy, and meeting tight deadlines for deliverables. To address these, it's important to develop strong data cleaning and validation skills, utilize automated tools for data processing, and communicate proactively with team members and stakeholders to clarify requirements. Collaboration within cross-functional teams also helps in overcoming data ambiguities and aligning analyses with business objectives.

What are the key skills and qualifications needed to thrive as an EXL Service data analyst?

To thrive as an EXL Service Data Analyst, you typically need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or economics. Experience with data analysis tools such as SQL, Excel, Python, and business intelligence platforms, along with certifications like Tableau or SAS, is highly valuable. Attention to detail, effective communication, and problem-solving abilities help analysts interpret data insights and present findings to stakeholders. These skills are crucial for transforming complex data into actionable business solutions that drive decision-making and organizational success.

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

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

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

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

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

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

Exl Service Data Analyst jobs near you
Infographic showing various Exl Service Data Analyst job openings in Rochester Hills, MI as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $76,066 per year, or $36.6 per hour.

Enterprise Data Architect

Masco Corporation

Livonia, MI • On-site

Full-time

Posted 10 days ago

Masco rating

7.7

Company rating: 7.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

Enterprise Data Architect
Role Summary
The Enterprise Data Architect is the design authority for Masco's enterprise POS and adjacent commercial data assets. This role owns the enterprise data model, the governed master data foundations, and the attribution logic that connects Business Unit, HQ, and retailer data into one trusted, reusable enterprise view. The Architect sets harmonization, data-modeling, and data-quality standards that the Data Engineering team executes against, and codifies those standards into documented, governed rules. This role is central to building a scalable, AI-ready enterprise data foundation.
What You'll Own
Enterprise Data Model & Master Data Foundations
  • Own the enterprise data architecture blueprint and standardized data model, expandable across POS use cases.

  • Own the governed master data foundations - Product, Retailer, Geographic, and Calendar.

  • Establish and evolve the semantic and dimensional modeling framework used by BI and Engineering.

  • Evaluate and lead implementation of master data management tools and processes to support the governed master data foundations.

Attribution & Harmonization
  • Define and maintain the BU to HQ to retailer attribution crosswalk as the enterprise standard.

  • Codify attribution logic into governed rules with clear ownership and change-approval processes.

  • Approve hierarchy changes, mapping exceptions, and material structural changes.

  • Actively curate product hierarchies and attribution mappings as ongoing operational activities, with the Business Data Analyst supporting attribution stewardship, use case validation, and downstream impact analysis.

Data Quality, Standards & Technical Governance
  • Set harmonization, modeling, and data-quality standards, including validation guidelines.

  • Enforce policies for data engineering, integration, security, and compliance.

  • Monitor day-to-day data quality, investigate root causes, and drive resolution with Data Engineering and business stakeholders, with the Business Data Analyst supporting quality validation and consumer follow-up.

  • Curate the enterprise data catalog, including definitions, lineage, and metadata, as an ongoing discipline.

Design Integrity for Requests, Enhancements & Delivered Work
  • Serve as the design-authority checkpoint on incoming requests and enhancements, confirming work fits the enterprise model and standards.

  • Approve architectural approaches before build begins.

  • Partner with the Data Engineering Leader on delivery reviews and on escalated issues that touch the model, masters, or attribution.

  • Provide design-integrity oversight of release management for engineering enhancements, requests, and projects, confirming released work aligns with the enterprise model and standards while the Data Engineering Leader owns the operational execution.

Technical Leadership & Investment Guidance
  • Provide technical direction on masters, attribution, ingestion patterns, and modeling standards.

  • Coach engineers on modeling discipline and enterprise design principles.

  • Contribute to strategic planning, talent, tooling, and vendor evaluations.

  • Contribute to budgeting and investment decisions for enterprise data platforms, services, and tools.

Documentation & Knowledge Management
  • Own the documented definition of the enterprise data model, masters, and attribution rules.

  • Establish documentation standards for models, attribution logic, and modeling decisions, in partnership with the Data Engineering Leader.

  • Maintain the enterprise knowledge base and catalog for definitions, lineage, and material changes.

  • Champion a "documented once, reused everywhere" culture across the team.

How You'll Partner (may not need in final posting but good context)
  • Data Engineering Leader and Data Engineers: Provide specs, standards, and design authority. Partner on delivery reviews and issue resolution.

  • BI Delivery Leader and BI Developers: Align on semantic layer and metric definitions built on the governed model.

  • Technical Product Owner and Business Data Analyst: Partner on intake to confirm work fits the enterprise model.

  • BU Analytics, HQ data stewards, and governance forums: Act as design authority in attribution and hierarchy governance.

  • HQ IT, Security, and Architecture: Align enterprise data architecture with broader technology strategy.

Required Qualifications
Education & Experience
  • Bachelor's degree or higher in a related field, or equivalent professional experience.

  • Substantial experience as an Enterprise Data Architect, Data Architect, or comparable role, including designing and governing enterprise data models across multiple business units or domains.

  • Proven track record establishing master data, attribution, and harmonization standards in a multi-source, multi-brand environment.

  • Experience leading and coaching technical data teams toward enterprise standards.

Skills & Competencies
  • Design-authority mindset. Sets direction, holds the line on standards, and coaches others on why those standards matter.

  • Strong strategic thinker who can move from ambiguity to a modeled, governed answer.

  • Excellent communicator who can translate architecture decisions for both technical and business audiences.

  • Detail-oriented and self-directed on complex, cross-functional problems.

  • Flexible. Balances enterprise standards with pragmatic delivery.

  • Collaborative across IT, Analytics, HQ, and Business Units.

  • Continuous learner who stays current on emerging data practices.

Technical Understanding
  • Strong understanding of enterprise data architecture and dimensional/semantic modeling (Kimball, Lakehouse patterns such as bronze/silver/gold).

  • Working knowledge of modern cloud data platforms (Databricks, Azure data stack) and how to lead teams delivering against them.

  • Familiarity with SQL, Python, ETL/ELT patterns, and BI semantic models sufficient to guide and evaluate engineering work.

  • Understanding of data quality, catalog, lineage, and metadata management practices.

  • Understanding of security, access, and compliance standards as they apply to enterprise data.

Preferred Qualifications
  • Experience in retail, consumer goods, or manufacturing analytics environments where POS, sell-in, inventory, and third-party retail data are core.

  • Prior experience designing master data, attribution logic, or product hierarchies across multiple retailers or channels.

  • Familiarity with modern DataOps, Agile, or Kanban practices.

  • Exposure to AI/ML-ready data architecture patterns (feature stores, governed semantic layers for AI/agentic consumption).

Company: Masco
Full time
Hiring Range: $103,700.00 - $163,020.00 USD
Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.
Masco Corporation (the "Company") is an equal opportunity employer and we strive to employ the most qualified individuals for every position. The Company makes employment decisions only based on merit. It is the Company's policy to prohibit discrimination in any employment opportunity (including but not limited to recruitment, employment, promotion, salary increases, benefits, termination and all other terms and conditions of employment) based on race, color, sex, sexual orientation, gender, gender identity, gender expression, genetic information, pregnancy, religious creed, national origin, ancestry, age, physical/mental disability, medical condition, marital/domestic partner status, military and veteran status, height, weight or any other such characteristic protected by federal, state or local law. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all people involved in the operations of the Company regardless of where the employee is located and prohibits unlawful discrimination by any employee of the Company.
Masco Corporation is an E-Verify employer. E-Verify is an Internet based system operated by the Department of Homeland Security (DHS) in partnership with the Social Security Administration (SSA) that allows participating employers to electronically verify the employment eligibility of their newly hired employees in the United States. Please click on the following links for more information.
E-Verify Participation Poster: English & Spanish
E-verify Right to Work Poster: English, Spanish

What Masco employees say

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About Masco

Sourced by ZipRecruiter

Our founder, Alex Manoogian, arrived in the United States in 1920 with $50 in his pocket and a relentless drive to make a better life for himself and his family. Decades later, that drive continues to permeate every aspect of our business. We believe in better living possibilities—for our homes, our environment and our community. Across our businesses and geographies, we seek out these possibilities to grow ourselves, enhance our consumers’ lives, create long-term value for our shareholders and improve the world around us. As a family of companies, we share a strong ethical culture and continuous improvement mindset driven by people and backed by an operating system designed to leverage our scale.

Industry

Building materials and garden equipment dealers

Company size

10,000+ Employees

Headquarters location

Livonia, MI, US

Year founded

1929

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