2

Remote Applied Data Analytics Jobs in Detroit, MI

Analytics Scientist

Dearborn, MI ยท On-site +1

$140K - $182K/yr

... applied data governance practices aligned with data privacy regulations including CCPA and GDPR for large-scale rollouts to internal teams. We are offering a salary of $140,629.00 - $182,996.64/yr.

... applied analytics to enable data-driven decision-making across complex business workflows. Key ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

Data Architect (Remote)

Auburn Hills, MI ยท Remote

$65.25 - $84/hr

Demonstrated analytical ability and creativity in developing and implementing solutions for complex problems on medium-sized projects. Strong SQL skills. Functions Performed This individual may be ...

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 ...

next page

Showing results 1-20

Remote Applied Data Analytics information

See Detroit, MI salary details

$24

$54

$93

How much do remote applied data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote applied data analytics in Detroit, MI is $54.20, according to ZipRecruiter salary data. Most workers in this role earn between $43.56 and $61.39 per hour, depending on experience, location, and employer.

What is remote applied data analytics?

A Remote Applied Data Analytics job involves analyzing data to extract insights and help organizations make data-driven decisions, all while working from a location outside of a traditional office. Professionals in this role use statistical methods, programming, and data visualization tools to interpret complex datasets. They often collaborate with cross-functional teams to solve business problems, optimize processes, and present actionable findings. Remote positions in this field require strong technical skills, good communication, and the ability to work independently using digital collaboration tools.

What are the key skills and qualifications needed to thrive as a remote applied data analytics professional?

To thrive as a Remote Applied Data Analytics professional, you need a strong background in statistics, data analysis, and problem-solving, typically supported by a degree in a quantitative field. Proficiency with data analytics tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, as well as familiarity with data management systems, is essential. Strong communication, self-motivation, and the ability to work independently are key soft skills for succeeding remotely and translating data insights into actionable recommendations. These skills ensure effective analysis, clear communication of findings, and the ability to drive data-informed decisions in a remote work environment.

What are some common challenges faced by professionals in remote applied data analytics roles, and how can they be addressed?

Remote applied data analytics professionals often encounter challenges such as effective communication with cross-functional teams, maintaining data security, and managing time across different time zones. To address these issues, it's important to leverage collaborative tools for clear communication, establish regular check-ins, and follow best practices for data privacy. Additionally, setting structured work hours and proactively aligning with teammates can help ensure smooth project workflows and successful outcomes.

What is the difference between Remote Applied Data Analytics vs Remote Data Analyst?

AspectRemote Applied Data AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; experience with data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, often cross-functionalData-focused tasks, reporting, and data interpretation within organizations
Employer & Industry UsageTech, finance, healthcare, consulting firmsBusiness, marketing, finance, and healthcare sectors

Remote Applied Data Analytics involves applying advanced analytics techniques to solve complex problems, often requiring knowledge of data science tools. Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles require analytical skills, Applied Data Analytics emphasizes modeling and predictive analytics, whereas Data Analysts concentrate on data interpretation and visualization.

Can a remote applied data analytics get a remote job?

Yes, remote applied data analytics professionals can find remote job opportunities, especially as many companies offer remote positions for data analysis roles. Success often depends on skills in data tools like SQL, Python, or R, and the ability to work independently in a virtual environment.

Can you work remotely in remote applied data analytics?

Remote applied data analytics roles are commonly available, allowing professionals to work from home or other locations. These jobs often require skills in data analysis tools like Python, R, or SQL, and may involve collaboration via online platforms. Many companies offer flexible schedules for remote data analysts, depending on project needs and company policies.
What job categories do people searching Remote Applied Data Analytics jobs in Detroit, MI look for? The top searched job categories for Remote Applied Data Analytics jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Remote Applied Data Analytics jobs? Cities near Detroit, MI with the most Remote Applied Data Analytics job openings:

Analyst 2, Data Analytics & Business Intelligence

Comcast

Plymouth, MI โ€ข 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.