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Self Employed Data Analyst R Programming Jobs in North Carolina

Partner with technology developers to: * Refine backlog items * Ensure correct interpretation of ... Enable self-service analytics for stakeholders * Improve transparency into risk metrics and ...

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

Python programming * Microsoft Excel and Microsoft Office Suite * Data analysis, modeling, validation, and cleansing * Power BI (preferred) or Tableau * Working with large datasets and relational ...

Contribute to the design, implementation, and evolution of self-service analytics solutions that ... Power BI, Alteryx, Python, R, Excel, or similar technologies. * Ability to manage multiple ...

Programming for Data Analytics (e.g., Python or R) * Business Statistics * Database Management (e.g. SQL) * Financial Modeling Skills * Knowledge of Excel, Tableau, Microsoft Power BI and various ...

Collaborate with data engineering and systems teams to improve data quality, modeling, and ... self-service reporting, and Microsoft data technologies. * Maintain confidentiality of sensitive ...

WFM Senior Data Analyst

Mooresville, NC · On-site

$81K - $102K/yr

This role requires a self-starter with strong analytical and problem-solving skills, as well as the ... R, Java, or comparable Object-Oriented programming language Preferred Skills/Education Master ...

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

NC · On-site

... 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 ...

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

Data Analyst

Wilson, NC · On-site

$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 ...

Data Analyst

Wilson, NC · Remote

$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 ...

Data Analyst

Wilson, NC · Remote

$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 ...

Data Analyst

Greensboro, NC · On-site

$43 - $48/hr

Collaborate closely with other Data Analysts, Data Engineers, Data Architects, and Data Scientists during the implementation and deployment of the advanced analytics solution. Benefits Our Benefits ...

Senior Data Analyst

Naples, NC · On-site +1

$82K - $103K/yr

We are an engineering and innovation company working in different areas. Within the IT sector we ... Apache Kafka * R * BBDD SQL * Metodologias Agiles: SCRUM * Machine learning * Big Data ...

Showing results 21-40

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:

Full-time

Re-posted 12 days ago


Job description

Overview:
Data Analyst- 222415-1
Location: CHARLOTTE-550 S Tryon St-144039
Hybrid either 4/1 or 3/2 onsite
Interview Process: 30 minutes Teams and 2nd round must be in person- 1-1 1/2-hour panel
Business Data Analyst/Data Analyst
Expert in SQL
MICROSFT FABRIC -
automate regulatory reporting processes
data architecture
process automation
Functionaly- develop detailed requirements and write them all in Jira - personal understands the process so well that they can write the automation themselves and then the developer picks up and executes
Background- really good data analysts or BAs that taught themselves how to code or people that grew up developers and is able to connect with the business, understand the business and able to work with the business
Role Overview
Wells Fargo is seeking a highly technical contractor to join the Market & Counterparty Regulatory Reporting team, supporting the delivery of accurate, timely, and regulator-aligned reporting (e.g., FR Y?14Q, CCAR).
This role sits at the intersection of risk subject matter expertise and technology delivery, with a primary mandate to:
  • Learn and deconstruct current reporting and stress processes
  • Identify inefficiencies and manual dependencies
  • Design and propose scalable automation solutions
  • Partner with technology teams to deliver these solutions into production

The position directly supports ongoing efforts to modernize reporting infrastructure, improve operational efficiency, and reduce regulatory risk.
Key Responsibilities
1. Process Analysis & SME Partnership
  • Partner with Market Risk and Counterparty Risk subject matter experts (SMEs) to:
    • Understand end-to-end regulatory reporting workflows (data sourcing ? transformation ? aggregation ? submission)
    • Document current-state processes, controls, and data dependencies
  • Identify:
    • Manual touchpoints
    • Reconciliation gaps
    • Data lineage issues
    • Opportunities for standardization

2. Automation & Solution Design
  • Develop future-state automation proposals aligned with enterprise technology strategy
  • Translate business processes into scalable technical designs, including:
    • Data pipelines
    • Aggregation logic
    • Reporting layers
  • Evaluate modernization opportunities such as:
    • Migration of legacy SQL-based processes to modern application frameworks (e.g., Java-based ETL)
    • Consolidation of fragmented reporting workflows into structured infrastructure
  • Ensure solutions:
    • Meet regulatory accuracy and auditability requirements
    • Improve performance, scalability, and control environments

3. Requirements & Delivery Management
  • Capture detailed business and technical requirements in Jira, including:
    • Epics, features, and user stories
    • Acceptance criteria aligned with regulatory and data validation standards
  • Partner with technology developers to:
    • Refine backlog items
    • Ensure correct interpretation of requirements
    • Support testing and validation
  • Drive end-to-end delivery lifecycle:
    • Design ? Build ? Test ? Production deployment

4. Data & Technology Engineering Oversight
  • Analyze and work within complex reporting data environments involving:
    • Large-scale relational datasets
    • Risk aggregation frameworks
    • Regulatory reporting tables
  • Ensure robustness across:
    • Data integrity and reconciliation
    • Transformation logic
    • Performance optimization

5. Reporting & Visualization Enablement
  • Incorporate modern visualization and analytics tools where appropriate:
    • Power BI and Tableau for reporting and insights delivery
  • Leverage these tools to:
    • Reduce manual report generation
    • Enable self-service analytics for stakeholders
    • Improve transparency into risk metrics and reporting outputs

6. Emerging Technology & AI Adoption
  • Evaluate and recommend use of emerging technologies, including:
    • AI/GenAI copilots for documentation, reconciliation, or anomaly detection
    • Advanced analytics platforms (e.g., Fabric-like ecosystems, semantic layers)
  • Ensure new technologies:
    • Align with enterprise governance and risk standards
    • Provide measurable efficiency or control improvements

Required Qualifications
Technical Expertise
  • Advanced proficiency in:
    • SQL (complex queries, stored procedures, performance optimization)
    • Java (enterprise applications, batch processing frameworks such as Spring Boot / Spring Batch preferred)
  • Strong understanding of:
    • Data architecture and infrastructure design
    • ETL and data pipeline development
    • Distributed / scalable processing frameworks

Regulatory & Domain Experience (Direct Banking Experience is a "Nice to Have" - not completely essential, but if not, the technical expertise needs to be "off the charts")
  • Experience working in:
    • Market Risk or Counterparty Risk environments
    • Regulatory reporting (e.g., FR Y?14Q, CCAR, Basel) preferred
  • Familiarity with:
    • Stress testing processes
    • Risk aggregation and reporting controls

Delivery & Collaboration
  • Proven experience:
    • Writing detailed requirements in Jira (user stories, acceptance criteria)
    • Operating within Agile / hybrid delivery environments
  • Strong ability to:
    • Translate SME discussions into concrete technical solutions
    • Partner across risk, data, and technology teams

Regards,
Manikandan Ravi (Mani)
Account Manager
Work: 972-474-8787 Ext: 424 |Dir: 972-214-2415 | Mani.r@themesoft.com| [Themesoft.com]Themesoft Inc |
Skills:
Power BI,Tableau