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Freelance Data Analyst R Programming Jobs in Michigan

Steelcase Inc

Product Data Analyst

Grand Rapids, MI · On-site

$32/hr

... Product Data Analyst team. This position is structured as a contract role with an hourly rate of ... Finance, Engineering, or other related fields * Proficiency using Microsoft Office tools, with ...

Steelcase, Inc.

Product Data Analyst

Grand Rapids, MI · On-site

$32/hr

... Product Data Analyst team. This position is structured as a contract role with an hourly rate of ... Finance, Engineering, or other related fields * Proficiency using Microsoft Office tools, with ...

Varsity Tutors

Data Science Tutor

Kalamazoo, MI · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Detroit, MI · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Varsity Tutors

Data Science Tutor

Ann Arbor, MI · Remote

$40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Freelance Data Analyst R Programming information

What are the key skills and qualifications needed to thrive as a Freelance Data Analyst with R Programming expertise, and why are they important?

To thrive as a Freelance Data Analyst specializing in R Programming, you need strong analytical skills, proficiency in statistical methods, and a solid foundation in data manipulation, typically supported by a degree in a quantitative field. Mastery of R and its libraries (like dplyr, ggplot2, and tidyr), as well as familiarity with data visualization tools and possibly certification in data analytics, are important technical assets. Excellent problem-solving, communication, and project management skills help you stand out when delivering insights to clients and managing multiple projects independently. These competencies enable accurate data-driven decision-making, effective client collaboration, and successful project execution in a competitive freelance environment.

What are some common challenges freelance data analysts face when working with clients using R programming?

Freelance data analysts using R often encounter challenges such as aligning on data formats and expectations with clients who may have limited technical backgrounds. Managing project scope and deadlines can also be tricky, especially when clients request additional analyses or changes mid-project. Communication is key, as you'll frequently need to explain R-based findings in a clear, non-technical way and ensure reproducibility of your code for client handover. Additionally, securing access to necessary data and maintaining data privacy are critical aspects of the role.

What does a Freelance Data Analyst specializing in R programming do?

A Freelance Data Analyst who specializes in R programming collects, processes, and analyzes data using the R language. They often work with clients on a project basis to extract insights from datasets, create visualizations, and build statistical models. Their tasks may include data cleaning, exploratory data analysis, and creating reproducible reports. They also help organizations make data-driven decisions by interpreting results and recommending actions based on their analyses.

What is the difference between Freelance Data Analyst R Programming vs Freelance Data Scientist R Programming?

AspectFreelance Data Analyst R ProgrammingFreelance Data Scientist R Programming
Required SkillsData analysis, R programming, visualizationData analysis, R programming, machine learning, statistical modeling
Work EnvironmentProject-based, client-specificProject-based, client-specific
Industry UsageBusiness intelligence, reportingAdvanced analytics, predictive modeling

Freelance Data Analyst R Programming focuses on analyzing data and creating reports using R, suitable for business insights. Freelance Data Scientist R Programming involves deeper statistical modeling and machine learning, often for predictive analytics. Both roles require R skills but differ in complexity and scope.

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What job categories do people searching Freelance Data Analyst R Programming jobs in Michigan look for? The top searched job categories for Freelance Data Analyst R Programming jobs in Michigan are:
What cities in Michigan are hiring for Freelance Data Analyst R Programming jobs? Cities in Michigan with the most Freelance Data Analyst R Programming job openings:
Freelance Data Analyst R Programming jobs near you
Population Health Data Analyst

Population Health Data Analyst

Delta Dental of Michigan

Okemos, MI • On-site

Full-time

Medical, Dental

Posted 24 days ago

Job description

Job Title:
Population Health Data Analyst
Number of Positions:
1
Location:
Okemos, MI
Location Specifics:
Hybrid Position
Job Summary:
At Delta Dental of Michigan, Ohio, and Indiana we work to improve oral health through benefit plans, advocacy and community support, and we amplify this mission by investing in initiatives that build healthy, smart, vibrant communities. We are one of the largest dental plan administrators in the country, and are part of the Delta Dental Plans Association, which operates two of the largest dental networks in the nation.
At Delta Dental, we celebrate our All In culture. It's a mindset, feeling and attitude we wrap around all that we do - from taking charge of our careers, to helping colleagues and lending a hand in the community.
Position Description
Provides technical and subject matter expertise to translate complex data into actionable insights that support strategic planning for federally funded and regulated business. Develops data visualizations and reporting solutions and supports interpretation and analysis of data.
Primary Job Responsibilities:
  • Collects, queries, manipulates, validates, and interprets large datasets, utilizing internal, external, structured, and unstructured data sources and identifies potential data quality issues and assesses their impact.
  • Creates and maintains reports and data visualizations to support the administration of all Government Programs population health activities, including performance improvement, value-based payment, health equity projects, and external review.
  • Determines the approach and techniques necessary to accomplish objectives, including appropriate data selection and evaluation, analysis, testing, quality assurance, interpretation, and preparation of materials for internal/external review.
  • Supports reporting responsibilities for Healthcare Effectiveness Data and Information Set, Annual Early and Periodic Screening, Diagnostic, and Treatment report - CMS-416, Dental Quality Alliance, and Population Health Management and Quality Improvement and Program Development initiatives.
  • Generates and distributes contact files for outreach campaigns in accordance with established guidelines. Evaluates campaign effectiveness and presets results in a clear, usable format.
  • Prioritizes business and information needs to generate reports, dashboards, and other visualizations tailored to the technical understanding of internal and external audiences.
  • Partners with business and technology teams to identify, diagnose and resolve complex business solutions in support of Government Program business objectives.
  • Translates business requirements into high-quality analytical deliverables that meet stakeholder needs and drives enterprise value.

#LI-Hybrid
Minimum Requirements:
Position requires a bachelor's degree in computer science, information systems, engineering or related field and five years of programming experience developing and supporting analytics and reporting solutions.
Position requires knowledge of Business Intelligence tools such as SAS, Business Objects, Cognos, Looker, PowerBI or Tableau, and experience with relational database concepts and SQL; ability to translate business needs to more technically oriented teammates and convey more technical information in business-friendly terms to non-technical stakeholders; ability to lead end-to-end data analysis projects; strong verbal and written communication skills with the ability to communicate effectively with internal and external contacts; and the ability to analyze and resolve highly complex problems using independent judgment. Experience with procedural languages or statistical programming is preferred.
The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.

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