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Self Employed Data Analyst R Programming Jobs in North Carolina

Data Analyst

Charlotte, NC · On-site

$80 - $100/hr

We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and ... Enable self-service by documenting metrics and curating trusted data sources. * Strong SQL across ...

We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and ... Enable self-service by documenting metrics and curating trusted data sources. Technology Stack

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Collaborate with other data workstreams (Data Engineers, Data Architects, Data Scientists, Product ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

Collaborate with other data workstreams (Data Engineers, Data Architects, Data Scientists, Product ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

$125 - $150/hr

Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis * Experience analyzing data sets to spot trends ...

Data Analyst

Camp Lejeune, NC · On-site

$77K - $176K/yr

Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis * Experience analyzing data sets to spot trends ...

Python * Additional programming in Java, R Education: Degree or equivalent exp. Responsibilities: * Partner with product owners, product managers, data engineers, and business stakeholders to ...

... R Programming, Python, Spark • Statistical & Data Management Packages - Python - Pandas, Numpy ... Analytics and Project management in Banking and Financial Services • Expertise in Predictive ...

Build analytical tools, such as self-service BI products and interactive dashboards, that visualize ... Fluency coding in one analytical programming knowledge (e.g., R or Python) and SQL is required

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Data Analytics / Data Engineer Contractor This role supports two major system overhaul projects and is expected to last at least 6 months, likely closer to 12 months. The manager is seeking someone ...

Build analytical tools, such as self-service BI products and interactive dashboards, that visualize ... Fluency coding in one analytical programming knowledge (e.g., R or Python) and SQL is required

Build analytical tools, such as self-service BI products and interactive dashboards, that visualize ... Fluency coding in one analytical programming knowledge (e.g., R or Python) and SQL is required

... Engineering | Environmental | Sustainability | and Human Capital. We help forward-thinking clients ... Skilled in SPSS, R, or similar tools. * Strong ability to interpret complex data sets. Competencies ...

Data Analyst

Wilson, NC · Hybrid

$35 - $39.42/hr

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry ... Experience with SAP data extraction, analysis, and reporting * Strong working knowledge of SQL ...

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Self Employed Data Analyst R Programming information

Are R programmers in demand?

R programmers, including self-employed data analysts skilled in R programming, are in demand due to the growing need for data analysis and statistical modeling across industries. Proficiency in R, along with skills in data visualization and machine learning, increases job opportunities in analytics, research, and consulting roles.

Can a self employed data analyst R programming be self-employed?

A self-employed data analyst skilled in R programming can work independently, offering services such as data analysis, visualization, and reporting to clients. Being self-employed requires managing your own schedule, acquiring clients, and possibly obtaining relevant certifications or a portfolio to demonstrate expertise.

Do data analysts use R programming?

Data analysts often use R programming as it provides powerful tools for data manipulation, statistical analysis, and visualization. R is widely adopted in the field for its extensive package ecosystem and open-source nature, making it a valuable skill for data analysis roles.

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

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

$80 - $100/hr

Other

Posted 21 days ago


Job description

Charlotte, United States | Posted on 06/04/2026

DATAECONOMY is one of the fastest-growing Data & Analytics company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings.

We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend.

Data Analyst

Charlotte, NC

Full-time

Insurance Domain

Analytics & Reporting
  • Turn business questions from underwriting, claims, actuarial, and finance teams into well-structured analyses and repeatable reports.
  • Build and maintain dashboards and scorecards for KPIs such as loss ratio, combined ratio, premium growth, retention/lapse, and claims cycle time.
  • Perform exploratory analysis to surface trends, anomalies, and opportunities (e.g., emerging loss patterns, fraud indicators, leakage).
  • Document assumptions, definitions, and methodology so results are transparent and auditable.
Insurance Domain Analytics
  • Analyze policy, premium, claims, and billing data to support pricing, reserving, and portfolio management discussions.
  • Support loss-ratio, frequency/severity, and retention/churn analyses for P&C and/or L&A lines of business.
  • Partner with actuarial and underwriting teams to validate data and interpret results in business context.
Data Preparation & SQL
  • Write and optimize SQL to extract, join, and aggregate data from the lakehouse / data warehouse.
  • Profile, clean, and validate datasets; flag and help resolve data quality issues with engineering.
  • Build reusable, well-documented queries, views, and semantic-layer definitions.
Visualization & Stakeholder Enablement
  • Design clear, decision-oriented visualizations in Power BI / Tableau (or equivalent).
  • Translate analysis into concise narratives and recommendations for non-technical business stakeholders.
  • Enable self-service by documenting metrics and curating trusted data sources.
  • Strong SQL across cloud data warehouse / lakehouse environments (Databricks SQL, Snowflake, BigQuery, or similar).
  • BI/visualization tools Power BI and/or Tableau.
  • Spreadsheet modeling (Excel) for ad-hoc analysis.
  • Working knowledge of Python (pandas) for data wrangling is a plus.
Required Qualifications
  • 4–7+ years of experience in data analysis, business intelligence, or reporting.
  • Strong, demonstrable SQL skills (complex joins, window functions, aggregations, query tuning).
  • Proven experience building dashboards and reports in Power BI and/or Tableau.
  • Solid understanding of data modeling concepts (dimensional / star schema) from a consumer's perspective.
  • Ability to translate ambiguous business questions into structured analysis and clear deliverables.
  • Strong written and verbal communication with business stakeholders.
Preferred Skills
  • Insurance domain knowledge P&C and/or Life & Annuities; familiarity with premium, claims, and loss-ratio concepts.
  • Experience with cloud data platforms (Databricks, Snowflake, Azure/AWS/GCP).
  • Python (pandas) or R for analysis and automation.
  • Statistical analysis fundamentals and A/B or cohort analysis experience.
  • Exposure to data governance, metadata, and trusted-source / semantic-layer practices.
  • Awareness of PII/PHI handling and regulated-data sensitivity.
Requirements
  • Strong SQL complex joins, window functions, aggregation, query tuning
  • Power BI and/or Tableau dashboard and report development
  • Ability to translate business questions into structured analysis
  • Strong stakeholder communication and storytelling
  • 4–7+ years in data analysis / BI / reporting
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