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Remote Safety Data Analyst Jobs in Michigan (NOW HIRING)

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice: Stand ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

CSAA

$39.50 - $54.50/hr

Job Title Business Solutions Analyst III (Guidewire) - Remote Requisition Number R7695 Business ... Partner with data experts in center of excellence to validate feasibility of proposals. * With ...

Pyrovio

Project Controls Analyst

Ann Arbor, MI · Remote

This remote role may require occasional travel to client sites located in Ohio, Pennsylvania ... Experience using Excel for data analysis, including vlookups, xlookups and pivot tables * Ability ...

CSAA

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

WilsonCTS

Lead Analyst, ERP Workstream

Portage, MI · Remote

$40 - $46/hr

Strong attention to detail and ability to organize and analyze data accurately. * Ability to work effectively in a fully remote environment. Preferred Qualifications * Experience supporting ERP ...

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Remote Safety Data Analyst information

What is a remote safety data analyst?

A Remote Safety Data Analyst is a professional who works primarily from a location outside of a traditional office, such as their home, to collect, analyze, and interpret safety-related data. Their main goal is to identify trends, assess risks, and help organizations improve safety protocols and compliance. They use statistical tools and databases to evaluate workplace incidents, product safety information, or regulatory compliance data, depending on the industry. By working remotely, they use digital communication and data management tools to collaborate with teams and stakeholders.

What are some common challenges faced by remote safety data analysts when working with distributed teams?

Remote Safety Data Analysts often collaborate with global teams, which can present challenges such as coordinating across different time zones, ensuring clear communication, and accessing secure data remotely. Building strong relationships through regular virtual meetings and using collaborative tools is essential for effective teamwork. Additionally, maintaining data privacy and adhering to industry regulations while working remotely requires diligence and familiarity with secure data platforms.

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

To thrive as a Remote Safety Data Analyst, you need strong statistical analysis skills, attention to detail, and a background in public health, life sciences, or a related field. Proficiency in data analysis tools such as SQL, SAS, R, or Python, as well as familiarity with pharmacovigilance databases and safety reporting systems, is typically required. Excellent communication, critical thinking, and problem-solving abilities help you interpret data and present findings clearly to stakeholders. These skills and qualifications are crucial for ensuring accurate safety evaluations and compliance with regulatory standards in a remote work environment.

Is it possible to work remotely as a remote safety data analyst?

Yes, remote safety data analysts can often work from home, especially if their employer offers remote or flexible work options. The role typically involves analyzing safety data using tools like Excel, SQL, or data visualization software, and may require strong communication skills for remote collaboration.

What are the most commonly searched types of Safety Data Analyst jobs in Michigan?

The most popular types of Safety Data Analyst jobs in Michigan are:

What are popular job titles related to Remote Safety Data Analyst jobs in Michigan?

For Remote Safety Data Analyst jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Safety Data Analyst jobs in Michigan look for?

The top searched job categories for Remote Safety Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Remote Safety Data Analyst jobs?

Cities in Michigan with the most Remote Safety Data Analyst job openings:

Remote Safety Data Analyst jobs near you
Infographic showing various Remote Safety Data Analyst job openings in Michigan as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 6% In-person, and 94% Remote job distribution.

Director of Data Intelligence

Vervint

Grand Rapids, MI • On-site, Remote

Full-time

Posted 16 days ago

Job description

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred
Role Snapshot:
  • Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice.
  • Build the Practice: Stand up and scale offerings, capabilities, and team from the ground up.
  • Drive Growth: Deliver revenue expansion and measurable client impact.
  • Lead in the Market: Establish Vervint's presence and thought leadership in Data amp; AI.
  • Bring a Network: Leverage existing client relationships and/or a strong market presence to accelerate growth.
As the Director of Data Intelligence (AI), you will lead the development and execution of Vervint’s Data, Analytics amp; AI Practice. This is a builder role—responsible for defining service offerings, forming strategic partnerships, and driving both new business and client expansion.
Reporting to the President amp; Chief Consulting Officer, this leader is accountable for positioning Data amp; AI as a core growth engine for the firm. You’ll bring a mix of strategic vision, hands-on leadership, and technical expertise to deliver meaningful outcomes for clients while building a differentiated, scalable practice.
What You'll Accomplish:
Strategy amp; Leadership
  • Define and own the firm’s data, analytics, and AI vision, strategy, and roadmap.
  • Define and execute the vision, strategy, and roadmap for the Data and AI Practice, including service offerings, go-to-market strategies, and operational capabilities.
  • Represent Vervint at industry events, conferences, and webinars to showcase expertise in Data and AI.
  • Advise ELT on data-driven decision-making and AI opportunities that align with our business objectives.
  • Lead cross-functional alignment on data and AI initiatives across Sales, Practices, Finance, and Talent.
Client-Facing Innovation
  • Identify, engage, and acquire new customers by leveraging industry relationships, market insights, and sales strategies to drive revenue growth.
  • Serve as a strategic advisor and thought leader to clients on data and AI solutions.
  • Lead development and delivery of innovative Data and AI solutions, frameworks, and methodologies that address market demands and customer needs.
  • Establish and maintain relationships with key technology providers, vendors, and industry stakeholders to enhance the practice’s capabilities.
  • Partner with Sales and Practices to embed data/AI into client offerings, proposals, and go-to-market strategies.
Team Building amp; Capability Development
  • Build and lead a high-performing team of data scientists, analysts, and engineers.
  • Promote a culture of innovation, experimentation, and continuous learning in data and AI.
  • Drive upskilling and data literacy across the organization.
AI IP amp; Emerging Technologies
  • Lead development of reusable frameworks, models, and IP that can be leveraged across client engagements.
  • Evaluate and recommend emerging tools and technologies for AI, data engineering, and analytics.
Governance amp; Ethical AI
  • Ensure responsible, ethical, and compliant use of data and AI.
  • Develop internal policies and frameworks for fairness, transparency, and risk mitigation in partnership with the internal IS team.
What You'll Bring:
  • A balance of strategic thinking and hands-on leadership.
  • Experience in business development, sales, and revenue growth strategies.
  • Ability to craft compelling proposals and present Data and AI solutions to executive-level stakeholders.
  • Passion for innovation and measurable impact.
  • Ability to bridge business strategy and technical execution.
  • A collaborative, entrepreneurial mindset aligned with a fast-paced, high-growth environment.
  • Proven success developing, executing, and selling enterprise data and AI strategies.
  • Deep expertise in data architecture, advanced analytics, machine learning, and emerging AI technologies.
  • Track record of building high-performing technical teams and scaling capabilities.
  • Strong executive presence and ability to communicate complex concepts to both technical and non-technical stakeholders.
Education/Experience:
  • 8+ years of experience in data, analytics, or AI leadership roles, preferably in a consulting or professional services environment.
  • Bachelor's degree in a related field required; Master’s in Data Science, Computer Science, Engineering, or related field strongly preferred.
You Belong. At Vervint, we embrace all facets of identity that make you - you. From race, gender identity, and veteran status to disabilities and more, your lived experiences enrich everyone around you. We know when we create an environment of safety and respect for individuals and their identities, we all do our best work. That is why we celebrate our diversity, foster equity, and champion inclusion within our company, the work we do, and our communities. As we work together, we commit to continuous growth, learning from our mistakes, and expanding on our caring culture to bring our values to life.

Vervint is an equal opportunity employer that is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veterans status, familial status, membership or activity in a local human rights commission, status regarding public assistance or any other characteristic protected by federal, state, or local laws, and will not be discriminated against on the basis of disability.

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