1

Director Data Analyst R Programming Jobs in North Carolina

Data Engineer (Mid Level)

Charlotte, NC ยท On-site

$111K - $134K/yr

Strong analytical and problem-solving skills, with the ability to work independently and as part of ... Experience with Snowflake ML/AI features and the R programming language. * Experience with Linux ...

Senior Data Analyst

Charlotte, NC

$84K - $106K/yr

... R shiny preferred). * Able to write complex join, union, pivot, common table expression query ... BA/BS degree, preferably in a Science, Technology, Engineering, Mathematics (STEM) or another field.

Senior Data Analyst

Naples, NC ยท 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 ...

Data Analyst

Wilson, NC ยท Remote

$30 - $32/hr

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry ... analysis of quality issues and providing more real-time data. * Improve and develop visuals in ...

New

Expertise in Python or R for data manipulation, automation and advanced analytics. * Hands-on experience with data visualization tools like Power BI, Tableau or Looker to create interactive reports.

Convert business questions into clean, reusable analytical frameworks and consistent data logic ... Familiarity with project-tracking tools like Azure DevOps or Jira * Experience operating in a ...

Strong proficiency in Python or R for statistical analysis, automation, and machine learning model development. * Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data ...

We use Objective C and Swift programming languages to create native applications for iPhone ... analytics with a wide and deep understanding of Healthcare data; with experience in clinical ...

Strong proficiency in Python or R for statistical analysis, automation, and machine learning model development. * Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data ...

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 ...

next page

Showing results 1-20

Director Data Analyst R Programming information

What does a Director Data Analyst specializing in R Programming do?

A Director Data Analyst with expertise in R Programming leads teams in analyzing complex datasets, developing statistical models, and generating insights to support strategic decision-making. They oversee data analysis projects, ensure the quality and accuracy of data, and often design and implement data-driven solutions using R. In addition to technical work, they manage analysts, coordinate with other departments, and help shape data strategy for the organization.

What are the key skills and qualifications needed to thrive as a Director Data Analyst specializing in R Programming, and why are they important?

To thrive as a Director Data Analyst specializing in R Programming, you need advanced expertise in data analytics, statistics, and business intelligence, typically supported by a degree in a quantitative field and significant experience in data leadership roles. Proficiency in R programming, data visualization tools (like Tableau or Power BI), and familiarity with data warehousing and cloud platforms are essential, alongside relevant certifications such as Certified Analytics Professional (CAP). Exceptional leadership, strategic thinking, and communication skills help drive data-driven decision-making and foster collaboration across departments. These skills and qualities are crucial for translating complex data into actionable insights that align with organizational goals and ensure effective team performance.

What are the common challenges faced by a Director Data Analyst specializing in R Programming, and how can they be overcome?

A Director Data Analyst focusing on R Programming often encounters challenges such as integrating R-based analytics with enterprise data systems, managing large and diverse data teams, and ensuring data quality across multiple projects. Additionally, balancing hands-on technical work with strategic leadership can be demanding. These challenges can be mitigated by adopting scalable data pipelines, fostering continuous learning within the team, and collaborating closely with IT and business stakeholders to align analytics initiatives with organizational goals.
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:

Data Engineer (Mid Level)

SysMind Tech

Charlotte, NC โ€ข On-site

$111K - $134K/yr

Full-time

Posted 8 days ago


Job description

Job Responsibilities
  • Design, develop, and maintain data assets across the entire data lifecycle, from ingestion and transformation to reporting and troubleshooting.
  • Utilize a modern data stack, including Azure, Snowflake, Linux, microservices, and various orchestration tools and BI platforms.
  • Write and optimize code using SQL, Python, and Linux scripting.
  • Manage code and collaborate with others using GitHub and implement CI/CD practices.
  • Work with business partners to understand their needs and deliver data solutions that align with the company's strategy.
  • Provide technical support and troubleshoot data-related issues.

Required Skills and Experience
  • 5-7+ years of experience in data engineering, software development, or a similar technical role.
  • A bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience.
  • Deep expertise in SQL, Python, and Linux scripting.
  • Proven experience with data warehouse design and performance optimization.
  • Strong understanding of CI/CD automation (e.g., GitHub Actions).
  • Experience with Azure services (e.g., Data Factory, Synapse, Key Vault, Container Services).
  • Excellent communication skills, with the ability to explain complex topics to both technical and non-technical audiences.
  • Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
  • Experience in a fast-paced environment, managing competing priorities and meeting deadlines.

Additional Skills (Nice to Have)
  • Experience with legacy data tools like SQL Server, SSIS, and SSRS.
  • Familiarity with financial services, specifically investment management (fixed income and equity).
  • Experience with Snowflake ML/AI features and the R programming language.
  • Experience with Linux administration and system monitoring.
  • Experience using DAX.
  • Ability to travel occasionally.