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Director Data Analyst R Programming Jobs in Savannah, GA

ABM

Facilities Data Analyst

Savannah, GA

The Facilities Data Analyst supports weekly operating control, bi-monthly stabilization governance ... ABM) is one of the world's largest providers of integrated facility, engineering, and ...

Targeted Talent

Financial Analyst

Savannah, GA · On-site

Analyze business and financial data. * Create financial models bases on analyses to support ... Two years of professional experience as an accountant, auditor, or computer programmer analyst OR ...

SynergisticIT

Entry Level Java Developer

Savannah, GA · On-site

... programming * Spring boot, AWS, Microservices, Docker, Jenkins, and REST API's experience * Excellent written and verbal communication skills Required Skills for Data Science/Data Analyst/Machine ...

Parker's Kitchen

Retail Business Analyst

Savannah, GA · On-site

Advanced proficiency in data analysis and visualization tools (Excel, Power BI, Tableau) and strong SQL skills (Python/R a plus). * Experience with predictive modeling, segmentation, and advanced ...

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How much do director data analyst r programming jobs pay per year?

As of May 28, 2026, the average yearly pay for director data analyst r programming in Savannah, GA is $76,967.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,300.00 per year, depending on experience, location, and employer.

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 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 most commonly searched types of Data Analyst R Programming jobs in Savannah, GA? The most popular types of Data Analyst R Programming jobs in Savannah, GA are:
What cities near Savannah, GA are hiring for Director Data Analyst R Programming jobs? Cities near Savannah, GA with the most Director Data Analyst R Programming job openings:
Director Data Analyst R Programming jobs near you
Manager, Data Science

Manager, Data Science

Broughton Partners

Savannah, GA

Full-time

Posted 8 days ago

Job description

As Manager, Data Science, you will lead our data science function, building predictive models and delivering strategic insights that drive business decisions across Marketing, Operations, and Executive leadership. Your primary focus will be transforming our rich data (Salesforce, Snowflake, call center platforms) into actionable intelligence—lead scoring, conversion forecasting, marketing attribution, call center performance optimization as some examples. You will manage a small team, collaborate with Marketing's Intelligence Director on shared priorities, and operate with significant autonomy to define our analytics roadmap.

  1. Build and deploy predictive models that drive business decisions: lead scoring, conversion forecasting, marketing attribution, fraud detection, capacity planning
  2. Manage and mentor a team of 2 direct reports (Senior Data Analyst and Data Analyst). Develop team capabilities and match work to strengths.
  3. Partner with Marketing Intelligence Director (Marketing org) on shared analytical priorities to maintain one version of truth while respecting organizational swim lanes
  4. Present strategic insights and recommendations to executive leadership monthly, demonstrating measurable business impact (conversion improvement, ROI optimization, cost savings)
  5. Define and own the analytics roadmap—identify what questions the business should be answering and proactively surface insights, not just respond to requests
  6. Collaborate with Data Engineering team to prioritize data quality improvements, ETL enhancements, and infrastructure needs
  7. Establish standardized metrics and methodologies across the organization. Participate actively in Data Governance Council to resolve cross-functional conflicts
  8. Operate with autonomy in defining priorities, methodology, and stakeholder engagement while reporting to Director of Data Operations & Analytics
  9. Other duties as assigned

Education: Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field required. Master's degree preferred or equivalent combination of education and experience.

Work Experience: Minimum of 5-8 years of data science or analytics experience with increasing responsibility. At least 2 years leading analytical initiatives or managing/mentoring analysts or data scientists.

Skills Needed: Expert-level proficiency in SQL, Python, or R, and cloud data platforms (Snowflake preferred). Proven ability to build predictive models (regression, classification, time series) that influenced business strategy. Strong stakeholder management and executive communication skills. Experience in marketing analytics (attribution, ROI), call center operations, or lead-generation business models is strongly preferred.

Licenses or Certification: Not required, but relevant certifications (AWS Certified Machine Learning, Google Professional Data Engineer, or similar) are a plus.


Physical Requirements

Standing, walking, sitting, repetitive movements and use of mechanical controls, such as a keyboard, are frequently required.

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