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Game Data Analyst Remote 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 Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

CSAA

$39.50 - $54.50/hr

  • Retirement

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 ...

CSAA

  • Retirement

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 ...

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 ...

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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Game Data Analyst Remote information

What does a remote game data analyst do?

A remote Game Data Analyst collects, processes, and interprets large sets of data generated by players in video games. They use statistical techniques and data visualization tools to identify player behaviors, trends, and areas for game improvement. Working remotely, they collaborate with game designers, developers, and marketing teams to provide insights that inform game development, monetization strategies, and player engagement. Their work helps ensure the game remains fun, fair, and profitable.

How does a remote game data analyst typically collaborate with development and design teams?

As a remote Game Data Analyst, collaboration with development and design teams usually happens through regular virtual meetings, shared dashboards, and project management tools. Analysts provide actionable insights from player data, helping designers refine game features and developers optimize gameplay mechanics. Effective communication and clear data visualizations are key, as you'll often translate complex metrics into recommendations that drive game improvements. Building strong remote relationships and maintaining open channels for feedback are essential for success in this role.

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

To thrive as a Game Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field, often supported by a relevant degree. Experience with data analysis tools like SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, problem-solving abilities, and a passion for gaming help analysts convey insights and collaborate effectively with game development teams. These skills ensure data-driven decisions that enhance player experience and drive business growth in the gaming industry.

What is the difference between Game Data Analyst Remote vs Game Data Scientist?

AspectGame Data Analyst RemoteGame Data Scientist
Required CredentialsBachelor's in Data Science, Analytics, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentRemote, collaborative with game development teamsRemote or on-site, often more research-focused
Industry UsageCommon in gaming companies for analytics rolesLess common, more specialized in data modeling and AI
Search & Comparison IntentOften compared for analytics roles in gamingCompared for advanced data modeling roles in gaming

Game Data Analyst Remote and Game Data Scientist roles share similarities in industry and remote work settings but differ in complexity and focus. Data analysts primarily interpret game data to improve user experience, while data scientists develop predictive models and advanced analytics. Understanding these differences helps candidates choose roles aligned with their skills and career goals.

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

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

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

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

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

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

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

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

Game Data Analyst Remote jobs near you

Director of Data Intelligence

Vervint

Grand Rapids, MI • On-site, Remote

Full-time

Posted 14 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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