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Digital Analytics Developer Jobs in Michigan (NOW HIRING)

Define and execute the enterprise data analytics and AI vision aligned with DENSO's digital ... Build and lead high-performing teams of data scientists, analytics engineers, and AI product ...

General Summary of Job Responsibilities The Applications and Analytics team is at the heart of ... engineering, data, design, configuration); able to connect technology and process effectively.

Define and execute the enterprise data analytics and AI vision aligned with DENSO's digital ... Build and lead high-performing teams of data scientists, analytics engineers, and AI product ...

As the Digital Product Analyst, you will be the bridge between raw digital data and actionable ... Collaborate with engineering and product teams to ensure robust data collection by defining tagging ...

As the Digital Product Analyst, you will be the bridge between raw digital data and actionable ... Collaborate with engineering and product teams to ensure robust data collection by defining tagging ...

As the Digital Product Analyst, you will be the bridge between raw digital data and actionable ... Collaborate with engineering and product teams to ensure robust data collection by defining tagging ...

General Summary of Job Responsibilities The Applications and Analytics team is at the heart of ... Demonstrated ability to influence and align stakeholders across Product, Engineering, Architecture ...

Senior Product Manager, GenAI (Operations)

Ann Arbor, MI · On-site

$123K - $163K/yr

... engineering teams to deliver AI-powered products. Responsibilities : • Partner with Global ... OR equivalent experience. • Experience leading or managing digital, analytics, or AI‑driven ...

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Digital Analytics Developer information

What is a Digital Analytics Developer?

A Digital Analytics Developer is a professional who implements, manages, and optimizes analytics solutions on digital platforms, such as websites and mobile apps. They work with tools like Google Analytics, Adobe Analytics, and tag management systems to collect and analyze user data. Their role involves creating and maintaining tracking codes, ensuring accurate data capture, and providing insights that support business decisions. Digital Analytics Developers often collaborate with marketing, design, and engineering teams to improve digital performance and user experience.

What are the key skills and qualifications needed to thrive as a Digital Analytics Developer, and why are they important?

To thrive as a Digital Analytics Developer, you need a strong background in web development, JavaScript, data analysis, and a relevant degree in computer science, statistics, or a related field. Familiarity with tools like Google Analytics, Adobe Analytics, Tag Management Systems (e.g., Google Tag Manager), and data visualization platforms is crucial. Attention to detail, problem-solving abilities, and effective communication set high performers apart in this role. These skills and qualities are essential for ensuring accurate data collection, insightful analysis, and clear reporting that drive data-driven decision-making for organizations.

What is the difference between Digital Analytics Developer vs Data Analyst?

AspectDigital Analytics DeveloperData Analyst
Required CredentialsBachelor's in Computer Science, Analytics, or related field; knowledge of analytics tools and programmingBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentDevelops and implements analytics solutions, often within marketing or IT teamsAnalyzes data sets to generate insights, typically across various departments
Employer & Industry UsageUsed in digital marketing, e-commerce, and tech companies for tracking user behaviorCommon across finance, healthcare, and business sectors for decision support

While both roles involve working with data, a Digital Analytics Developer primarily focuses on creating and maintaining analytics tools and tracking systems, whereas a Data Analyst interprets data to provide actionable insights. The roles often overlap but serve different functions within data-driven organizations.

How does a Digital Analytics Developer typically collaborate with marketing and IT teams?

Digital Analytics Developers often act as a bridge between marketing and IT teams, ensuring that web analytics tools are properly implemented and data is accurately captured across digital platforms. They work closely with marketers to understand campaign goals and reporting needs, translating those requirements into technical specifications. At the same time, they coordinate with IT or web development teams to integrate tracking codes, troubleshoot data discrepancies, and maintain data integrity. Strong communication skills and a collaborative mindset are essential, as this role frequently involves explaining technical concepts to non-technical stakeholders.
What job categories do people searching Digital Analytics Developer jobs in Michigan look for? The top searched job categories for Digital Analytics Developer jobs in Michigan are:
What cities in Michigan are hiring for Digital Analytics Developer jobs? Cities in Michigan with the most Digital Analytics Developer job openings:
Director- Data Analytics and AI

Director- Data Analytics and AI

Denso

Southfield, MI • On-site

$181K - $226K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


DENSO rating

7.6

Company rating: 7.6 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

10th of 44 rated automakers


Job description

Job Description
Role Overview:
The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO North America's IT Digital Center (ITDC), responsible for defining the enterprise wide strategy for data, analytics, and AI and executing to deliver scalable, high-impact AI solutions across North American operations. This role serves as a key enabler of DENSO's AI first, data driven operating model. This role partners closely with technology and business leaders to translate data and AI capabilities into measurable business value while ensuring strong governance, security, and ethical AI practices.
Essential duties and responsibilities:
  • Define and execute the enterprise data analytics and AI vision aligned with DENSO's digital transformation strategy.
  • Lead development and deployment of advanced analytics, machine learning, and AI use cases.
  • Establish scalable data platforms, analytics products, and AI pipelines in collaboration with cloud, data engineering, and cybersecurity teams.
  • Partner with business and functional leaders to identify high-impact use cases and drive measurable ROI from analytics and AI investments.
  • Build and lead high-performing teams of data scientists, analytics engineers, and AI product leaders.
  • Define data governance, model lifecycle management, and responsible AI standards to ensure compliance, security, and trust.
  • Oversee external partnerships with technology vendors, system integrators, and research institutions.
  • Champion data literacy and analytics adoption across the organization through change management and enablement.

Qualifications:
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; Master's degree preferred.
  • 10+ years of experience in data analytics, AI, or advanced analytics, with at least 5 years in a leadership role.
  • Proven experience delivering Analytics and AI solutions at enterprise scale, preferably in manufacturing, automotive, or industrial environments.
  • Strong understanding of data architecture, cloud platforms, advanced analytics, and AI/ML lifecycle management.
  • Demonstrated ability to translate complex technical concepts into business outcomes for senior executives.
  • Experience leading global or cross-functional teams in a matrixed organization.
  • Strong leadership, communication, and stakeholder management skills.

Preferred Experience:
  • Experience with AI applications in manufacturing, quality inspection, predictive maintenance, or mobility systems.
  • Hands-on familiarity with modern data and AI platforms (cloud-native analytics, AI platforms, and data governance tools).
  • Experience establishing responsible AI, model risk management, and data ethics frameworks.

Benefits Summary:
  • Medical, Dental, Vision, Prescription Drug plans
  • 401K with 4% Company Match
  • Vacation/PTO and 13 paid Holidays
  • Bonus Program
  • FSA/HSA and Dependent Care Programs
  • Company provided Life, Disability, ADD and Business Travel Insurance
  • Various No Cost Wellness & Chronic Condition Management Programs
  • Various Optional Insurance programs such as legal, identity theft, critical illness, etc.
  • Tuition Reimbursement
  • Career Development and Ongoing Training
  • Employee Assistance Program
  • Employee Spotlight and Recognition Program
  • Volunteer Opportunities
  • Onsite Fitness Center (vary by location)
  • Cafeteria and food markets (vary by location)
  • Onsite Health Clinic and Pharmacy (vary by location)

Annual Salary: $181,000 - $226,000

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