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Freelance Data Analyst R Programming Jobs in Ohio

Lexisnexis Risk Solutions

AI Data Analyst

Dayton, OH

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own endtoend data pipelines and is ...

RELX

AI Data Analyst

Dayton, OH

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own endtoend data pipelines and is ...

The Hartford

Business Data Analyst

Columbus, OH · Hybrid

$80K - $120K/yr

Consultant Bus Data Analysis - GA08BE We're determined to make a difference and are proud to be an ... We use the latest DATA technologies, software engineering practices, Agile delivery framework, and ...

Core Specialty

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... agents, prompt engineering. * Ability to convert raw data into usable and visualized ...

DPDHL

Business Data Analyst II

Westerville, OH · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Further

Data Science Analyst

Cleveland, OH

Strong command of R and/or Python for data manipulation and statistical analysis. * Deep ... Partner closely with engineers to ensure data accuracy and data pipelines are quality-checked ...

USM

C++ Developer-----Need GC and USC

Cincinnati, OH · On-site

$47 - $63.25/hr

C++, R programming This resource will be responsible for C++ and R programming to help do segmentation and extension work. They need to be able to work with analytical functions and have some ...

DHL

Business Data Analyst II

Westerville, OH · On-site

$55K - $90K/yr

The Business Data Analyst II role has a national salary range of $55,000 - $90,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Citizens

Principal Data Analyst

Columbus, OH

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative field Core Skills & Expectations Technical & Analytical Excellence

New

Citizens Bank

Principal Data Analyst

Columbus, OH · On-site

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative field Core Skills & Expectations Technical & Analytical Excellence

New

Citizens

Principal Data Analyst

Columbus, OH

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative field Core Skills & Expectations Technical & Analytical Excellence

New

Citizens

Principal Data Analyst

Columbus, OH · On-site

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Engineering, or another quantitative field Core Skills & Expectations Technical & Analytical Excellence

New

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All JobsData Analyst R Programming JobsFreelance Data Analyst R Programming JobsFreelance Data Analyst R Programming Jobs in Ohio

Freelance Data Analyst R Programming information

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.

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 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 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 are the most commonly searched types of Data Analyst R Programming jobs in Ohio? The most popular types of Data Analyst R Programming jobs in Ohio are:
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Freelance Data Analyst R Programming jobs near you
Data & Performance Measurement Analyst

Data & Performance Measurement Analyst

Dave Thomas Foundation for Adoption

Dublin, OH • On-site

Full-time

Re-posted 13 days ago

Job description

The Dave Thomas Foundation for Adoption (DTFA) is a national nonprofit public charity dedicated exclusively to finding permanent homes for the more than 130,000 children waiting in North America's foster care systems. Created by Wendy's® founder Dave Thomas who was adopted, the Foundation implements evidence-based, results-driven national service programs, foster care adoption awareness campaigns and innovative grantmaking. The Foundation has an opening for a full-time data analyst.
STATEMENT OF PURPOSE
The data analyst is responsible for identifying and deploying advanced analytics utilizing the Wendy's Wonderful Kids Child Trends database to measure and document the work of the Foundation. This position supports the Foundation's mission by leveraging both quantitative and qualitative data to demonstrate the impact of the Wendy's Wonderful Kids program to internal and external stakeholders, including state and local partners engaged in child welfare initiatives. Through thoughtful analysis and reporting, the data analyst helps inform strategic decision making and supports the Foundation's efforts to strengthen positive outcomes for the children we serve.
ACCOUNTABILITIES
  1. Produce routine data reports and summaries that communicate the Foundation's reach, impact and program progress to internal teams, state and public agencies
  2. Maintain and update performance dashboards and data visualizations for the Foundation, including supporting the preparation of recurring monthly, quarterly and annual Wendy's Wonderful Kids reports
  3. Analyze program demographics, census, utilization, outcomes and other key data; pull, extract and validate data from multiple sources to support routine reporting and ensure strong data hygiene, integrity and appropriate handling of de-identified data
  4. Apply established statistical tools and reporting methods, using SAS or R, to conduct quantitative analyses, identify trends in program outcomes and fidelity metrics and communicate insights through data storytelling, visualization and presentations for diverse stakeholders
  5. Work closely with the Foundation's various teams to extract data from multiple systems to generate routine reports measuring a range of key performance indicators; maintain progress updates through the project management system (Asana)
  6. Assist in the preparation, production and dissemination of publications, presentations and research resources ensuring completion within established timelines
  7. Assume responsibility for professional growth, stay current on industry trends, best practices and emerging technologies in data analytics and data management, as well as developments and research within the child welfare community
  8. Perform other duties as assigned

Requirements
KNOWLEDGE & SKILLS
The following qualifications are representative of the knowledge, skills and/or abilities required to serve in this role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Demonstrated proficiency in data management, data analysis, statistical reporting, data visualization and qualitative research methods with the ability to synthesize complex data into actionable insights
  • Knowledge of data governance principles and experience applying operational excellence practices
  • Demonstrated experience with program evaluation or performance measurement, including the ability to quantify KPIs, assess implementation fidelity and conduct pre- and post-analysis to measure program effectiveness and outcomes
  • Excellent verbal and written communication skills, with the ability to translate and present complex analytical concepts and findings to both technical and non-technical audiences
  • Experience with Microsoft Office Suite, particularly Microsoft Excel and PowerPoint
  • Proactive and solutions-oriented, with the ability to work independently, apply strong critical thinking and analytical problem-solving skills, prioritize tasks effectively and demonstrate strong time management skills; exceptional attention to detail with a customer service focus
  • Ability to collaborate effectively across diverse teams and leadership levels while following established procedures and maintaining accountability
  • Demonstrates the desired values and competencies of the Foundation, with personal qualities of integrity and credibility; values diversity and supports an inclusive culture
  • High degree of self-awareness and interpersonal effectiveness, with the ability to manage sensitive or confidential information with discretion and maintain strict confidentiality
  • Flexible and adaptable, with the ability to manage multiple projects in a fast-paced environment while maintaining high-quality results

EDUCATION AND EXPERIENCE
  • Undergraduate degree required; statistics, data analytics or related degree preferred
  • 4+ years of program management experience with a focus on data analytics
  • Minimum 2 years of professional experience using R required, including scripting for data analysis and reproducible workflows
  • Experience with SAS and Python strongly preferred
  • Experience in child welfare with a focus on evidence-based and data-driven practices preferred
  • Background and/or experience with statistics or finance preferred

WORK ENVIRONMENT
  • Limited to no travel required

The Dave Thomas Foundation for Adoption is an equal employment opportunity employer and does not discriminate against any employee or applicant based on race, color, religion, religious beliefs, political affiliation, creed, HIV/AIDS status, ethnicity, sex, age, national origin, ancestry, disability, sexual orientation, gender, gender identity, gender expression, pregnancy, marital status, familial status, veteran/military status, predisposing genetic characteristics, domestic violence victim status, prior arrest or any other category protected by applicable law. Any employee who engages in such conduct is subject to disciplinary action, up to and including discharge.

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