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Remote Data Analyst R Programming Jobs in Minnesota

Vervint

Director of Data Intelligence

Minneapolis, MN · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Build and lead a high-performing team of data scientists, analysts, and engineers. * Promote a ...

TriOptus LLC

Data Engineer | TELECOMMUTE

Minneapolis, MN · On-site +1

$119K - $143K/yr

We are a team of 9 Data Engineers and Analysts + Engineering Managers/Leaders * We have 1 product owner on the team and work with several others directly * We have a Scrum Master aligned as well ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

Query, manage, and analyze data using both SQL and NoSQL database technologies. * A degree from an ... Proficiency utilizing multiple AI tools such as Python, Java, or R and machine learning frameworks ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · On-site +1

Query, manage, and analyze data using both SQL and NoSQL database technologies. Qualifications * A ... Proficiency utilizing multiple AI tools such as Python, Java, or R and machine learning frameworks ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

Query, manage, and analyze data using both SQL and NoSQL database technologies. Qualifications * A ... Proficiency utilizing multiple AI tools such as Python, Java, or R and machine learning frameworks ...

Solution Design Group

Data Engineer

Minneapolis, MN · On-site +1

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We ... Data analysis and visualization tools including tools such as Tableau, PowerBI, SSRS, Business ...

CSAA

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 ...

Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan Companies.

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Remote Data Analyst R Programming information

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

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 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 most commonly searched types of Data Analyst R Programming jobs in Minnesota? The most popular types of Data Analyst R Programming jobs in Minnesota are:
What are popular job titles related to Remote Data Analyst R Programming jobs in Minnesota? For Remote Data Analyst R Programming jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst R Programming jobs in Minnesota look for? The top searched job categories for Remote Data Analyst R Programming jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Analyst R Programming jobs? Cities in Minnesota with the most Remote Data Analyst R Programming job openings:
Remote Data Analyst R Programming jobs near you

Director of Data Intelligence

Vervint

Minneapolis, MN • On-site, Remote

Full-time

Posted 12 days ago

Job description

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred
Role Snapshot:
  • Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice.
  • Build the Practice: Stand up and scale offerings, capabilities, and team from the ground up.
  • Drive Growth: Deliver revenue expansion and measurable client impact.
  • Lead in the Market: Establish Vervint's presence and thought leadership in Data amp; AI.
  • Bring a Network: Leverage existing client relationships and/or a strong market presence to accelerate growth.
As the Director of Data Intelligence, you will lead the development and execution of Vervint’s Data, Analytics amp; AI Practice. This is a builder role—responsible for defining service offerings, forming strategic partnerships, and driving both new business and client expansion.
Reporting to the President amp; Chief Consulting Officer, this leader is accountable for positioning Data amp; AI as a core growth engine for the firm. You’ll bring a mix of strategic vision, hands-on leadership, and technical expertise to deliver meaningful outcomes for clients while building a differentiated, scalable practice.
What You'll Accomplish:
Strategy amp; Leadership
  • Define and own the firm’s data, analytics, and AI vision, strategy, and roadmap.
  • Define and execute the vision, strategy, and roadmap for the Data and AI Practice, including service offerings, go-to-market strategies, and operational capabilities.
  • Represent Vervint at industry events, conferences, and webinars to showcase expertise in Data and AI.
  • Advise ELT on data-driven decision-making and AI opportunities that align with our business objectives.
  • Lead cross-functional alignment on data and AI initiatives across Sales, Practices, Finance, and Talent.
Client-Facing Innovation
  • Identify, engage, and acquire new customers by leveraging industry relationships, market insights, and sales strategies to drive revenue growth.
  • Serve as a strategic advisor and thought leader to clients on data and AI solutions.
  • Lead development and delivery of innovative Data and AI solutions, frameworks, and methodologies that address market demands and customer needs.
  • Establish and maintain relationships with key technology providers, vendors, and industry stakeholders to enhance the practice’s capabilities.
  • Partner with Sales and Practices to embed data/AI into client offerings, proposals, and go-to-market strategies.
Team Building amp; Capability Development
  • Build and lead a high-performing team of data scientists, analysts, and engineers.
  • Promote a culture of innovation, experimentation, and continuous learning in data and AI.
  • Drive upskilling and data literacy across the organization.
AI IP amp; Emerging Technologies
  • Lead development of reusable frameworks, models, and IP that can be leveraged across client engagements.
  • Evaluate and recommend emerging tools and technologies for AI, data engineering, and analytics.
Governance amp; Ethical AI
  • Ensure responsible, ethical, and compliant use of data and AI.
  • Develop internal policies and frameworks for fairness, transparency, and risk mitigation in partnership with the internal IS team.
What You'll Bring:
  • A balance of strategic thinking and hands-on leadership.
  • Experience in business development, sales, and revenue growth strategies.
  • Ability to craft compelling proposals and present Data and AI solutions to executive-level stakeholders.
  • Passion for innovation and measurable impact.
  • Ability to bridge business strategy and technical execution.
  • A collaborative, entrepreneurial mindset aligned with a fast-paced, high-growth environment.
  • Proven success developing, executing, and selling enterprise data and AI strategies.
  • Deep expertise in data architecture, advanced analytics, machine learning, and emerging AI technologies.
  • Track record of building high-performing technical teams and scaling capabilities.
  • Strong executive presence and ability to communicate complex concepts to both technical and non-technical stakeholders.
Education/Experience:
  • 8+ years of experience in data, analytics, or AI leadership roles, preferably in a consulting or professional services environment.
  • Bachelor's degree in a related field required; Master’s in Data Science, Computer Science, Engineering, or related field strongly preferred.
You Belong. At Vervint, we embrace all facets of identity that make you - you. From race, gender identity, and veteran status to disabilities and more, your lived experiences enrich everyone around you. We know when we create an environment of safety and respect for individuals and their identities, we all do our best work. That is why we celebrate our diversity, foster equity, and champion inclusion within our company, the work we do, and our communities. As we work together, we commit to continuous growth, learning from our mistakes, and expanding on our caring culture to bring our values to life.

Vervint is an equal opportunity employer that is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veterans status, familial status, membership or activity in a local human rights commission, status regarding public assistance or any other characteristic protected by federal, state, or local laws, and will not be discriminated against on the basis of disability.

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