1

Self Employed Data Analyst R Programming Jobs in Kentucky

... self-service analytics initiatives. * Developed advanced calculations, metrics, and business logic using DAX and SQL to address complex reporting requirements. * Collaborated with data engineering ...

Lead training sessions for end users, empowering them to utilize reports and self-service analytics ... Contribute to database design discussions, working with Data Engineers to align structures with ...

Lead training sessions for end users, empowering them to utilize reports and self-service analytics ... Contribute to database design discussions, working with Data Engineers to align structures with ...

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Python (Programming Language), R Programming, Structured Query Language ...

Data Analyst, BuzzBallz

Louisville, KY · Hybrid

$68K - $102K/yr

Bachelor's degree in supply chain management, data analytics, business analytics, industrial engineering, statistics, economics, computer science, or related field. * 2-5 years of experience in ...

Data Analyst, BuzzBallz

Louisville, KY · On-site

$68K - $102K/yr

Bachelor's degree in supply chain management, data analytics, business analytics, industrial engineering, statistics, economics, computer science, or related field. * 2-5 years of experience in ...

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 ...

Senior Data Analyst (SQL / SAP)

Hebron, KY · On-site

$82K - $104K/yr

Bachelor's degree in Technology, Data Analytics, Business, or related field * 5+ years of experience in data analysis, SQL development, or data engineering * Advanced SQL skills (complex queries ...

Senior Data Analyst (SQL / SAP)

Hebron, KY · On-site

$82K - $104K/yr

Bachelor's degree in Technology, Data Analytics, Business, or related field * 5+ years of experience in data analysis, SQL development, or data engineering * Advanced SQL skills (complex queries ...

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 ...

... engineering as needed. * Support report administration activities such as validating access ... Must be detail oriented and self-motivated. * Excellent customer service skills. * Anticipate needs ...

... engineering as needed. * Support report administration activities such as validating access ... Must be detail oriented and self-motivated. * Excellent customer service skills. * Anticipate needs ...

... engineering as needed. * Support report administration activities such as validating access ... Must be detail oriented and self-motivated. * Excellent customer service skills. * Anticipate needs ...

next page

Showing results 1-20

Self Employed Data Analyst R Programming information

Are R programmers in demand?

Self-employed R programmers and data analysts skilled in R programming are in high demand due to the growing need for data analysis and statistical modeling across industries. Proficiency in R, along with knowledge of data visualization and statistical techniques, enhances job prospects in consulting, research, and analytics projects.

Will AI replace data analysts?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting results, making strategic decisions, and applying domain knowledge. Self-employed data analysts using skills in R programming and statistical analysis will continue to be valuable for complex, context-specific insights that AI cannot fully replicate.

Is 40 too late for data science?

Self-employed data analysts using R programming can start at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant tools like R, Python, and machine learning techniques, making age less of a barrier. Ongoing education and building a strong portfolio are key to entering the field at any age.

Can a data analyst be self-employed?

A data analyst can be self-employed by offering freelance or consulting services, often using skills in R programming, data visualization, and statistical analysis. Self-employment requires managing clients, setting rates, and handling business operations independently.
What are the most commonly searched types of Data Analyst R Programming jobs in Kentucky? The most popular types of Data Analyst R Programming jobs in Kentucky are:

Other

Posted 3 days ago


Job description

Let Vaco advocate for you! We are currently seeking a Data Analyst to support a growing team.

Responsible for developing and maintaining enterprise reporting and business intelligence solutions that enable data-driven decision-making across the organization. Partnered with business stakeholders and technical teams to transform complex data into actionable insights through advanced analytics, visualization, and reporting tools.

Key Responsibilities:

  • Designed and delivered interactive dashboards, scorecards, and analytical reporting solutions using Power BI.
  • Built and optimized scalable data models to support business reporting, performance tracking, and self-service analytics initiatives.
  • Developed advanced calculations, metrics, and business logic using DAX and SQL to address complex reporting requirements.
  • Collaborated with data engineering teams to align data architecture and reporting strategies, ensuring data quality and consistency.
  • Conducted technical reviews of reports, dashboards, and analytical solutions to promote best practices, maintain standards, and improve performance.
  • Investigated and resolved reporting, data quality, and data integration issues across multiple systems and platforms.
  • Provided guidance and mentorship to team members while supporting knowledge-sharing and analytics adoption throughout the organization.
  • Facilitated user enablement initiatives, including training and documentation, to increase business utilization of reporting tools.
  • Evaluated emerging analytics technologies and platform enhancements to improve reporting capabilities and operational efficiency.
  • Supported continuous improvement efforts through process optimization, automation, and responsible adoption of AI-enabled solutions.

Qualifications:

  • Bachelor''s or Master''s degree in Analytics, Information Systems, Data Science, Business, or a related discipline.
  • Strong experience with Power BI, data visualization, and business intelligence development.
  • Advanced knowledge of SQL, data modeling, and dimensional design concepts.
  • Experience developing scalable reporting solutions within complex enterprise environments.