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Remote Data Analyst R Programming Jobs in Michigan

Business Analyst II

Grand Rapids, MI ยท On-site +1

$67K - $85K/yr

The Business Analyst II will work with business product owners, data scientists, engineers, and ... Monday-Wednesday in Grand Rapids MI corporate office, Thursday-Friday remote. Position is not ...

Principal Data Scientist (US)

Southfield, MI ยท On-site +1

$148K - $223K/yr

Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that ...

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

New

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

New

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

Director of Biostatistics

Dearborn, MI ยท Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

Director of Biostatistics

Warren, MI ยท Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

Director of Biostatistics

Lansing, MI ยท Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Proficiency in SAS and/or R, with the ability to independently reproduce analyses from written ...

Showing results 41-60

Remote Data Analyst R Programming information

What is a remote data analyst r programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

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

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a remote data analyst specializing in r programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What are the most commonly searched types of Data Analyst R Programming jobs in Michigan?

The most popular types of Data Analyst R Programming jobs in Michigan are:

What are popular job titles related to Remote Data Analyst R Programming jobs in Michigan?

For Remote Data Analyst R Programming jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst R Programming jobs in Michigan look for?

The top searched job categories for Remote Data Analyst R Programming jobs in Michigan are:

What cities in Michigan are hiring for Remote Data Analyst R Programming jobs?

Cities in Michigan with the most Remote Data Analyst R Programming job openings:

Senior Full-Stack BI Architect / Fabric Data Engineer

Proactive Technology Management

Ferndale, MI โ€ข On-site, Remote

$62.50 - $83.75/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 8 days ago


Job description

About Us

At Proactive Technology Management,ย we'reย transforming howย businesses harness data to drive innovation and informed decision-making. As leaders in the SMB space, weย leverageย cutting-edgeย technologies to deliver actionable insights that give our clients a competitive advantage.ย We'reย seeking aย Senior Full-Stack BI Architect / Fabric Data Engineerย to design and implement innovative, domain-driven data solutions that humanize data and empower decision-makers. If you have a passion for making data meaningful and impactful, we want to hear from you!ย 

Role Summary

As a Senior Full-Stack BI Architect / Fabric Data Engineer, you will lead the design and development of robust, enterprise-grade data solutions that prioritize human-centric designย through the use ofย ubiquitous language and domain-driven principles.ย You willย leverageย deepย expertiseย in medallion architecture, advanced data modeling, and visualization to ensure our clients receive intuitive, actionable insights. Your technicalย expertiseย in the Microsoft Cloud Data Stack, DAX, Power Query M, SQL, and Spark Python will drive success in building scalable, user-friendly solutions.ย 

Key Responsibilitiesย 
  • Lead the design and implementation of ETL/ELT pipelines within aย medallion architectureย (Bronze, Silver, andย Goldย layers) to ensure data quality, scalability, and accessibility across use cases.ย ย 
  • Architect and develop advanced data models that reflectย domain-driven design principles, aligning with business domains and usingย ubiquitous languageย to ensure clarity and usability for all stakeholders.ย ย 
  • Design and implement star and snowflake schemas, along withย medallion schema practices, to provide flexible, high-performance data structures for analytics.ย ย 
  • Create dynamic, user-centric dashboards and advanced reports in Power BI, empowering stakeholders with real-time insights and actionable metrics.ย ย 
  • Leverage DAX and Power Query M to craft sophisticated calculations and transformations that enhance data usability and business relevance.ย ย 
  • Build andย optimizeย SQL-based solutions for database management, queries, and data integration, ensuring efficiency and scalability.ย ย 
  • Use Spark Python for processing large datasets and performing advanced analytics to meet complex business requirements.ย ย 
  • Collaborate with business leaders and cross-functional teams to understand data needs, define key performance indicators (KPIs), and ensure alignment with organizational goals.ย ย 
  • Stay informed on advancements in data engineering, business intelligence, and analytics, continuously driving innovation and improvement.ย ย 
  • Mentor team members to build organizational capacity in BI and data engineering best practices.ย ย 

Requirements

Qualifications
  • Bachelor's orย Master's degree in Computer Science, Engineering, Data Science, or a related field; advanced certifications in data engineering or BI are a plus.ย ย 
  • 7+ years of experience in data engineering, BI architecture, or a related role, with a focus on enterprise-grade solutions.ย ย 
  • In-depthย expertiseย inย medallion architecture, data modeling (star schemas, snowflake schemas), and best practices for data warehousing.ย ย 
  • Proven ability to implementย domain-driven design (DDD)ย principles, ensuring data solutions reflect business domains and are accessible through ubiquitous language.ย ย 
  • Expert-levelย proficiencyย in Power BI, DAX, Power Query M, and SQL, withย demonstratedย success delivering scalable, impactful BI solutions.ย ย 
  • Strong programming skills with Spark Python for advanced data processing and analytics.ย ย 
  • Experience with the Microsoft Cloud Data Stack (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric) and other cloud technologies.ย ย 
  • A track recordย of translating complex datasets into intuitive insights, creating value for both technical and non-technical stakeholders.ย ย 
  • Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.ย ย 
  • Strong communicationย and leadership skills, with a focus on collaboration and stakeholder engagement.ย ย 

Benefits

  • Competitive compensation tailored to senior-levelย expertise.ย ย 
  • Opportunities to shape data strategy and lead transformative BI projects.ย ย 
  • Ongoing professional development through advanced training and certifications.ย ย 
  • A supportive, innovative culture that values diversity, inclusion, and creativity.ย ย 
  • Flexible remote work arrangements to support work-life balance.
  • Comprehensive health, dental, and vision insurance
  • 401(k) retirement plan with company match

Ifย you'reย ready to lead the next evolution of business intelligence-harnessing the power ofย medallion architecture,ย domain-driven design, and user-centric modeling-apply today. Help us transform data into a powerful, humanized tool for business success.ย