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From Home Data Analytics Jobs in Michigan (NOW HIRING)

Hart

Junior Data Analyst

Detroit, MI · On-site

... from home on Monday and Friday). THE ORGANIZATION Hart is a full-service, independent brand ... This is a great opportunity for someone early in their analytics career who's eager to grow their ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Develop and deliver standardized and ad hoc dashboards, reports, and performance analytics (budget-focused) * Analyze structured and unstructured data to extract insights for business decision-making

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Design and implement analytics solutions that support decision-making and performance tracking * Analyze structured and unstructured data to uncover patterns, trends, and inconsistencies * Deliver ...

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All JobsData Analytics JobsFrom Home Data Analytics JobsFrom Home Data Analytics Jobs in Michigan

From Home Data Analytics information

What is a work from home data analyst?

A work from home data analyst is a professional who collects, processes, and interprets data to help organizations make informed decisions—all while working remotely. They use statistical tools and software to analyze large datasets, identify trends, and create reports or visualizations. These analysts often collaborate with teams through digital communication platforms and can work in a variety of industries, such as finance, healthcare, or marketing. The flexibility of remote work allows them to perform their tasks from any location with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a work from home data analyst?

To thrive as a Work-From-Home Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or data science. Experience with technical tools like SQL, Excel, Python, R, and data visualization platforms (e.g., Tableau or Power BI) is typically required. Excellent communication, self-motivation, and time management skills help remote analysts collaborate effectively and deliver insights independently. These competencies ensure accurate data interpretation, effective remote teamwork, and impactful business decision-making.

How do remote data analytics professionals typically collaborate with team members and stakeholders while working from home?

Remote data analytics professionals often use a combination of video meetings, instant messaging, and collaborative platforms to stay connected with their teams and stakeholders. Regular virtual stand-ups, shared dashboards, and cloud-based project management tools help ensure transparency and real-time updates on projects. Effective communication and proactive sharing of insights are important for building trust and ensuring that data-driven recommendations are clearly understood and implemented by business partners. While remote, you'll need to be comfortable with both asynchronous and synchronous collaboration to keep projects on track.

What is the difference between From Home Data Analytics vs From Home Data Analyst?

AspectFrom Home Data AnalyticsFrom Home Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Data Science, Analytics, or related field; proficiency in analytics tools
Work EnvironmentRemote, often project-based or consulting rolesRemote, typically in corporate or consulting settings
Employer & Industry UsageTech companies, consulting firms, finance, healthcareTech companies, finance, marketing, healthcare
Common Search & ComparisonYesYes

From Home Data Analytics involves analyzing data remotely across various industries, often focusing on strategic insights. From Home Data Analyst typically performs data analysis tasks remotely within specific organizations, focusing on reporting and operational insights. Both roles require similar skills and credentials but differ slightly in scope and industry application.

Can you work from home in data analytics?

Data analytics jobs often offer remote work options, especially for roles involving data analysis, reporting, and visualization that can be performed using tools like Excel, SQL, and Python. Many companies allow data analysts to work from home full-time or part-time, provided they have a reliable internet connection and the necessary software. Remote work arrangements depend on the employer's policies and the specific responsibilities of the role.

Is data analytics a good career for remote work?

Data analytics is well-suited for remote work because many tasks involve analyzing digital data, using tools like Excel, SQL, and visualization software. Professionals in this field can often collaborate virtually and manage their schedules independently, making remote work a common and viable option.

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

The most popular types of Data Analytics jobs in Michigan are:

What are popular job titles related to From Home Data Analytics jobs in Michigan?

For From Home Data Analytics jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching From Home Data Analytics jobs in Michigan look for?

The top searched job categories for From Home Data Analytics jobs in Michigan are:

What cities in Michigan are hiring for From Home Data Analytics jobs?

Cities in Michigan with the most From Home Data Analytics job openings:

From Home Data Analytics jobs near you

Data Scientist, HC Analytics

Corporate Services

Detroit, MI

Full-time

Posted 3 days ago

New

Job description

GENERAL SUMMARY: 

The Data Scientist, Healthcare Analytics assists the Senior Data Scientist, Healthcare Analytics and other business analysts with working with business users to fully understand their needs for data science solutions. Works with a variety of data sources, both internal and external, big and small, structured and unstructured formats to build analytic models utilizing machine-learning techniques. Partners with the IT group to ensure that the data is sourced from the right location for data science model building. Participates in the development of project deliverables, especially documentation, for data science deliverables. As a team player, interacts with various other roles such as data engineers, business analysts and others. The Data Scientist, Healthcare Analytics solves analytical problems and develops cutting edge solutions to business problems. Should also be skilled at extracting, transforming, and analyzing data using a variety of common analytical tools and statistical techniques. Should be able to present findings in a compelling manner to both a business and non-technical audience. The position requires a team player that is eager to continue to learn and evolve with business needs and changes in the data and business environment. 

EDUCATION/EXPERIENCE REQUIRED: 

  • Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field. MS degree is preferred. 
  • Three plus (3+) years of professional work experience. 
  • Two plus (2+) years of experience involving quantitative data analyses for problem solving in US Healthcare industry. 
  • Two plus (2+) years of experience with predictive, forecasting, and optimization problem solving using data analytics tools like Python, R or SAS. 
  • Exposure of working with cloud Big Data Stack to orchestrate data gathering, cleansing, preparation and modelling preferred. 
  • Advanced SQL skills working with RDBMSs such as Oracle, SQL Server, etc. 
  • Experience working with data visualization tools or Data Visualization Designers in Tableau or Power BI. 
  • Also, experience with data visualization for analytic models in Rshiny, GGPlot, Qlik, Alteryx, Flask, D3, etc. used to tell the data story to business users to foster adoption of analytic outputs created preferred. 
  • Exceptionally skilled in machine learning, data analytics, pattern recognition and predictive modelling.
  •  Strong communication and presentation skills. Effective communication and storytelling skills. 
  • Energy and enthusiasm. Passion for learning and contributing to development. A true team player. Collaborative mindset for effective communication across teams.
Additional Information
  • Organization: Corporate Services
  • Department: Helios Enter Data Wrhse IT Exp
  • Shift: Day Job
  • Union Code: Not Applicable

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