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Remote Data Analysis Jobs in Warren, MI (NOW HIRING)

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 ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Senior Data Analyst

Detroit, MI · Remote

$96K - $132K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 5+ years of experience in data science, with a strong background in statistical analysis, machine ...

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 5+ years of experience in data science, with a strong background in statistical analysis, machine ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

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Remote Data Analysis information

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.
What are the most commonly searched types of Data Analysis jobs in Warren, MI? The most popular types of Data Analysis jobs in Warren, MI are:
What are popular job titles related to Remote Data Analysis jobs in Warren, MI? For Remote Data Analysis jobs in Warren, MI, the most frequently searched job titles are:
What job categories do people searching Remote Data Analysis jobs in Warren, MI look for? The top searched job categories for Remote Data Analysis jobs in Warren, MI are:
What cities near Warren, MI are hiring for Remote Data Analysis jobs? Cities near Warren, MI with the most Remote Data Analysis job openings:
Infographic showing various Remote Data Analysis job openings in Warren, MI as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 10% Part Time, 7% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Analyst 2, Data Analytics & Business Intelligence

Comcast

Plymouth, MI • On-site, Remote

Full-time

Posted 14 days ago


Job description

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

This job works closely with stakeholders to define data needs, develop models, and extract actionable insights for informed decision-making. It leverages advanced analytics and big data platforms to predict trends and measure business performance. The role also upholds data governance standards to ensure quality and compliance in analytics.

Job Description

This position is an in-office role 4 days a week and 1 day remote.

Responsibilities:

AI-Driven Forecasting & Planning

  • Lead the development and implementation of AI-enabled forecasting solutions.
  • Apply machine learning, predictive analytics, and scenario modeling to improve forecast accuracy and business planning.
  • Design and maintain rolling forecast frameworks that automatically incorporate changing business conditions.
  • Drive automation of forecast updates, assumptions management, variance analysis, and reporting.

Budget & Financial Performance Optimization

  • Modernize budget development and forecasting processes through automation and AI.
  • Develop intelligent models that identify risks, opportunities, and performance drivers.
  • Create automated budget allocation and investment optimization frameworks.
  • Support long-range planning through advanced business and financial modeling.
  • Improve planning cycle speed while enhancing transparency and accountability.

Performance Management Transformation

  • Build AI-driven performance management capabilities that identify trends, opportunities, and operational risks.
  • Create automated scorecard generation and target-setting processes.
  • Develop predictive performance indicators to proactively identify areas requiring intervention.
  • Leverage AI to generate actionable insights, coaching recommendations, and operational guidance.
  • Design frameworks that connect operational metrics, incentive programs, and financial outcomes.

Process Automation & Efficiency

  • Evaluate and redesign complex business processes to eliminate manual activities.
  • Deploy AI agents, workflow automation, and self-service analytics solutions.
  • Reduce cycle times for forecasting, budgeting, reporting, and business reviews.
  • Standardize tools, methodologies, and operating procedures.
  • Establish measurable efficiency targets and track realized value.

Advanced Analytics & Modeling

  • Develop predictive, prescriptive, and scenario-based models to support strategic decisions.
  • Create simulations and sensitivity analyses to evaluate business opportunities and risks.
  • Translate complex analytics into executive-ready recommendations.

Strategic Leadership

  • Partner with Finance, Operations, Technology, and Executive Leadership to identify high-value AI opportunities.
  • Collaborating with business leaders to discern data requirements and crafting technical specifications for analytics
  • Evaluating data relevance, sourcing alternatives, and ensuring robust analytics for stakeholder inquiries
  • Employing self-service tools to analyze complex datasets, extracting actionable business insights
  • Querying diverse big data platforms, including Teradata, SQL Server, Hadoop, and AWS, for comprehensive analysis
  • Merging datasets from varied sources to support thorough business analysis
  • Conducting exploratory data analysis, hypothesis testing, and pinpointing key business drivers
  • Developing predictive models for sales, demand, and other vital business metrics
  • Assessing campaign outcomes, measuring effectiveness, and pinpointing enhancement opportunities
  • Ensuring compliance with data governance policies and standards across analytics practices
  • Consistent exercise of independent judgment and discretion in matters of significance.
  • Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
  • Other duties and responsibilities as assigned.

Employees at all levels are expected to:

  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
  • Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
  • Win as a team make big things happen by working together and being open to new ideas.
  • Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
  • Drive results and growth.
  • Support a culture of inclusion in how you work and lead.
  • Do what's right for each other, our customers, investors and our communities.

Skills

Actionable Insights, Analytics, Business Operations, Data Forecasting

Compensation

This job can be performed in Colorado, Illinois, and Minnesota with a Pay Range of $66,115.55 - $109,090.66Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

2-5 YearsComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.