ZipRecruiter

Log In

2

Remote Google Business Intelligence Jobs in Michigan

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Advise ELT on data-driven decision-making and AI opportunities that align with our business ...

Meijer Companies Ltd

Business Analyst II

Grand Rapids, MI · On-site +1

$67K - $85K/yr

... intelligence and automation opportunities across the business. This role leads process discovery ... Monday-Wednesday in Grand Rapids MI corporate office, Thursday-Friday remote. Position is not ...

Aptar Group

Business Development Manager

Midland, MI · On-site +1

Remote position; Preferably Midwest or East Coast in US (Western Europe possible) Travel: yes ... Gather market data and competitive intelligence through customer engagement, key opinion leaders ...

Alteryx

Partner Alliance Manager

Three Rivers, MI · On-site +1

$140K - $230K/yr

... analytics tools, and business intelligence solutions. * Relationship Building: Excellent ... A monthly Connectivity Plus stipend of $150 to support remote work-related expenses * An annual ...

Cisco

Account Executive - Splunk (Remote)

Ann Arbor, MI · On-site +1

Integrates CRM data with business intelligence tools to develop scalable operational frameworks for sales process optimization and tool utilization. * Partners with other account executive resources ...

CSAA

Strategic Business Development * Identify, evaluate, and advance strategic alliances, vendor ... Conduct market research, competitive intelligence, and opportunity assessments to identify emerging ...

previous pagenext page

Showing results 21-40

All JobsGoogle Business Intelligence JobsRemote Google Business Intelligence JobsRemote Google Business Intelligence Jobs in Michigan

Remote Google Business Intelligence information

What is a remote Google Business Intelligence professional?

A Remote Google Business Intelligence professional specializes in analyzing and interpreting data using Google’s suite of business intelligence tools, such as Google Data Studio, BigQuery, and Looker, while working from a remote location. Their main responsibilities include gathering data from various sources, creating reports and dashboards, and providing actionable insights to help organizations make data-driven decisions. Working remotely, they collaborate with teams online, ensuring that stakeholders have the information they need to optimize business operations. This role requires strong analytical skills, proficiency with Google BI tools, and the ability to communicate complex data findings clearly.

How does a remote Google Business Intelligence professional typically collaborate with cross-functional teams?

As a Remote Google Business Intelligence professional, you will frequently collaborate with cross-functional teams such as marketing, product development, and engineering. Communication is primarily conducted via virtual meetings, shared dashboards, and cloud-based project management tools. Your role often involves translating complex data insights into actionable recommendations for non-technical stakeholders, so strong communication and documentation skills are essential. Building relationships and proactively seeking feedback from team members across departments helps ensure data-driven decisions align with broader business goals.

What are the key skills and qualifications needed to thrive as a remote Google Business Intelligence professional, and why are they important?

To thrive as a Remote Google Business Intelligence professional, you need strong analytical skills, experience in data modeling and visualization, and proficiency with SQL, alongside a relevant degree in computer science, information systems, or a related field. Familiarity with Google BI tools such as Looker Studio, BigQuery, and Data Studio, as well as certifications like Google Data Analytics, are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and presenting insights to stakeholders. These skills ensure accurate, actionable business insights are delivered, driving data-informed decision-making across distributed teams.

What is the difference between Remote Google Business Intelligence vs Remote Data Analyst?

AspectRemote Google Business IntelligenceRemote Data Analyst
Required CredentialsGoogle certifications, BI tools proficiencyStatistical, analytical, Excel, SQL skills
Work EnvironmentRemote, collaborative with marketing and product teamsRemote, cross-industry data interpretation
Employer & Industry UsageTech, marketing, e-commerce companiesFinance, healthcare, retail, various sectors
Common Search & ComparisonYesYes

Remote Google Business Intelligence specialists focus on analyzing data using Google tools and BI platforms to support strategic decisions, often within tech and marketing industries. Remote Data Analysts interpret data across various sectors, utilizing statistical and analytical skills. While both roles involve data analysis, Google Business Intelligence roles emphasize BI tools and Google platform expertise, whereas Data Analysts have broader industry applications and skill sets.

What are popular job titles related to Remote Google Business Intelligence jobs in Michigan?

For Remote Google Business Intelligence jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Google Business Intelligence jobs in Michigan look for?

The top searched job categories for Remote Google Business Intelligence jobs in Michigan are:

What cities in Michigan are hiring for Remote Google Business Intelligence jobs?

Cities in Michigan with the most Remote Google Business Intelligence job openings:

Remote Google Business Intelligence 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.

Apply