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Remote Data Analyst Jobs in Michigan (NOW HIRING)

Stefanini is looking for Epic Data Engineer-Remote For quick apply, please contact Sudhanshu ... Excellent analytical skills to troubleshoot and resolve systems problems * Must have: Cogito ...

We are seeking an experienced Remote B2B Collections Analyst to manage a portfolio of commercial ... Advanced Excel skills including reporting and data analysis. Pay Details: $26.00 to $31.00 per hour ...

We are seeking an experienced Remote B2B Collections Analyst to manage a portfolio of commercial ... Advanced Excel skills including reporting and data analysis. Pay Details: $26.00 to $31.00 per hour ...

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 ...

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 ...

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Remote Data Analyst information

See Michigan salary details

$29.6K

$72K

$118.5K

How much do remote data analyst jobs pay per year?

As of Jul 24, 2026, the average yearly pay for remote data analyst in Michigan is $72,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,500.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Michigan? The most popular types of Data Analyst jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Analyst jobs? Cities in Michigan with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Michigan as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $72,029 per year, or $34.6 per hour.
Epic Data Engineer

Epic Data Engineer

Stefanini Group

Grand Rapids, MI • Remote

Contractor

Posted 26 days ago


Job description

Stefanini Group is hiring!
Stefanini is looking for Epic Data Engineer-Remote
For quick apply, please contact Sudhanshu Shrivastava; Ph: 248 582 6510
Sudhanshu.shrivastava@stefanini.com
 
W2 Candidates Only!
 
 
Job Summary:
Data Engineers work collaboratively with architects, business intelligence developers, data analysts and data scientists to build and maintain analytic solutions utilizing both traditional on-premises and cloud-based platforms. The Senior Data Engineer is an experienced data pipeline builder and data wrangler with an aptitude for identifying nuances and patterns within complex datasets with the goal of transforming raw data into timely, reliable data sets. This role is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection to support business needs.
 
Essential Functions:
  • Develops, tests, and deploys ELT / ETL processes across multiple sources, targets and tools with no supervision.
  • Provides support and recommendations to intermediary level engineers to enhance their technical skills. Collaborates with data consumers of varying skill levels on available data sources and potential biases within datasets.
  • Provides operational and ad-hoc support for systems and applications troubleshooting and maintenance for incidents related to data warehouses, datasets and data pipelines.
  • Participates in the design, development, and implementation of conceptual, logical, and physical data models.
  • Adheres to the team's application of best practices and organizational standards of the Software Development Lifecycle to ensure high quality and reliable data assets.  Follows the organizational standards and laws governing use of sensitive data relating to Protected Health Information (PHI) and Personally Identifiable Information (PII).
  • Develops Continuous Integration and Continuous Development (CI/CD) processes focused on acceleration of value delivery and minimizing manual touchpoints.
  • Participates in enterprise-wide Agile ceremonies determining and recommending technical programming approaches and solutions to complex applications.  Works independently or collaboratively to capture, document, and groom features and stories for planning and execution.
 
 
#LI-SS3
#LI-REMOTE

Must have epic certifications:
  • Cogito
  • Clarity Data
  • Caboodle Data Model
 
Must Have
  • Atleast five years of relevant experience developing and supporting applications, and or system development lifecycle including coding, testing, and implementation required
  • Effective and self-sufficient in working within a diverse technology portfolio
  • Excellent analytical skills to troubleshoot and resolve systems problems
  • Must have: Cogito, Clarity Data model, Caboodle Data Model
  • Strong Experience in Programming; Well-versed with concepts and techniques of Business Intelligence and Data Warehousing
  • Strong written and oral communication skills with ability to interpret technical requirements
 
Nice To Have
  • Epic certifications in Cogito Tools Administration or Caboodle Development for Clarity Data or Caboodle Development for Non-Epic Data
  • Experience in Facets
  • Snowflake Experience
 
Qualifications:
  • Bachelor's Degree or equivalent Preferred Master's Degree
  • 5 years of relevant experience Required
 
 
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.
 
About Stefanini Group:
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMM Level 5 company
Education:Bachelor (BA, BS...)Employment Type: CONTRACTOR