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Director Of Data Analytics Jobs in Georgia (NOW HIRING)

Director, Data Strategy Role Summary The Director of Data Strategy shapes RaceTrac's enterprise ... Working across Technology, Analytics, Product, Finance, and Business Units, this role builds the ...

The Manager of Data Analytics, Labor, will lead and develop a team of associates responsible for ... Lead, develop and direct work for a team of Analysts and Sr. Analysts, providing clear direction ...

The Associate Director of Data Analytics provides technical and people leadership to design, build, and scale data and analytics solutions that support regulatory compliance, operational performance ...

Translation of processes, governance and requirements between global Competence Center Data ... Provides direct and timely hands-on support for local applications and business process needs.

The purpose of this role is to oversee development and implementations of robust processes and ... The Data Analytics Team Lead will be responsible for the oversight of the Data Analytics team and ...

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Director Of Data Analytics information

See Georgia salary details

$60K

$133.5K

$206.5K

How much do director of data analytics jobs pay per year?

As of Aug 30, 2026, the average yearly pay for director of data analytics in Georgia is $133,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $152,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a director of data analytics when aligning data initiatives with business objectives?

A Director of Data Analytics often encounters the challenge of bridging the gap between technical data solutions and the strategic goals of the business. This involves translating complex analytical insights into actionable recommendations for non-technical stakeholders, prioritizing projects that deliver the most value, and ensuring data quality and governance standards are maintained. Additionally, coordinating across departments to align on KPIs and fostering a data-driven culture can be demanding but is essential for successful outcomes. Strong communication, leadership, and a deep understanding of both data and business operations are key to overcoming these challenges.

What are the key skills and qualifications needed to thrive as a director of data analytics, and why are they important?

To thrive as a Director of Data Analytics, you need deep expertise in data analysis, statistics, and business intelligence, typically supported by an advanced degree in a quantitative field and several years of leadership experience. Familiarity with data visualization tools (such as Tableau or Power BI), database systems (like SQL), and analytics platforms, along with certifications in data science or analytics, are highly valued. Strong leadership, strategic thinking, and communication skills distinguish top performers in this role. These competencies are crucial for driving data strategy, translating insights into business value, and leading effective analytics teams.

What is the difference between Director Of Data Analytics vs Data Analyst?

AspectDirector Of Data AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership role overseeing teams and strategyAnalyzing data, creating reports, supporting decision-making
Employer & Industry UsageUsed in large organizations across industries for strategic oversightCommon in various industries for data interpretation and reporting

The Director Of Data Analytics typically holds a senior leadership position, focusing on strategy and team management, requiring advanced credentials. In contrast, Data Analysts perform hands-on data analysis and reporting, often with less experience. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

Is data analytics a high paying job?

Data analytics roles, including positions like Director of Data Analytics, are generally well-compensated, especially for those with advanced skills in statistical analysis, programming, and data visualization tools. Salaries tend to increase with experience, certifications, and industry demand, making it a lucrative career option.

What does a director of data analytics do?

A director of data analytics oversees an organization’s data analysis efforts, leading teams to interpret complex data sets to inform business decisions. They develop strategies, ensure data quality, and often work with tools like SQL, Python, or Tableau to deliver insights that support company goals.

What are the most commonly searched types of Of Data Analytics jobs in Georgia?

The most popular types of Of Data Analytics jobs in Georgia are:

What are popular job titles related to Director Of Data Analytics jobs in Georgia?

For Director Of Data Analytics jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Director Of Data Analytics jobs in Georgia look for?

The top searched job categories for Director Of Data Analytics jobs in Georgia are:

What cities in Georgia are hiring for Director Of Data Analytics jobs?

Cities in Georgia with the most Director Of Data Analytics job openings:

Infographic showing various Director Of Data Analytics job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $133,510 per year, or $64.2 per hour.

Director of Data Strategy

Atlanta, GA


RaceTrac
Retail • 5 - 10K employees

4.6

Company rating: 4.6 out of 10

Based on 199 frontline employees who took The Breakroom Quiz

38th of 47 rated convenience stores

Paid breaks


Full-time

Re-posted 4 days ago


Job description

Director, Data Strategy

Role Summary

The Director of Data Strategy shapes RaceTrac’s enterprise-wide vision for how data is governed, managed, activated, and measured. This leader ensures that data becomes a strategic asset—fueling revenue growth, operational efficiency, regulatory compliance, and exceptional guest experiences. Working across Technology, Analytics, Product, Finance, and Business Units, this role builds the roadmap, operating model, and culture needed to unlock the full value of data at scale.
Key Responsibilities
• Define a multi‑year enterprise data strategy aligned to business goals, including prioritization models and investment frameworks.
• Build and operationalize a scalable data operating model with clear ownership, standards, and funding structures.
• Lead enterprise data governance across privacy, security, lineage, quality, retention, and AI risk.
• Implement data stewardship, issue management, and measurable defect‑reduction processes.
• Oversee the lifecycle of high‑value data products and partner with engineering/analytics to define requirements and success metrics.
• Drive data literacy and self‑service adoption across business teams.
• Build business cases and track ROI for data initiatives; lead quarterly portfolio reviews with Finance and BU leaders.
• Align with Enterprise Data Architecture on platform strategy, including lakehouse/warehouse, MDM, catalog, governance tools, and AI/ML platforms.
• Promote standardized data models and interoperability across domains (finance, customer, product, operations, HR).
• Establish responsible AI guardrails and ensure data readiness for ML/GenAI use cases.
• Prioritize and incubate analytics and AI use cases with clear problem statements and measurable outcomes.
• Lead executive‑level communications, socialize strategy, and support change management across the enterprise.

Success Measures (First 3–6 and 6–12 Months)

3–6 Months:

  • Deliver an enterprise data strategy and operating model proposal.
  • Stand up initial governance processes, including stewardship roles and issue‑management workflows.
  • Establish baseline data quality, risk, and value‑tracking metrics.
  • Build strong cross‑functional relationships with Technology, Finance, Product, and BU leaders.

6–12 Months:

  • Launch prioritized data products with defined success metrics and adoption plans.
  • Demonstrate measurable improvements in data quality, lineage visibility, and governance compliance.
  • Implement value‑realization frameworks and complete the first portfolio review cycle.
  • Advance AI/analytics readiness, including responsible AI guardrails and prioritized use‑case incubation.
 

Required Skills & Experience

• Bachelor’s or Master’s degree in Data Management, Computer Science, Information Systems, Business, or related field.
• 7+ years of experience in data management, governance, and analytics, including 5+ years in leadership roles.
• Strong understanding of data governance frameworks, data quality practices, and regulatory compliance (GDPR, CCPA).
• Experience with enterprise data platforms, cloud technologies, and data integration tools.
• Proven ability to influence senior stakeholders and drive cross‑functional alignment.
• Excellent communication and leadership skills with a track record of building high‑performing teams.
• Demonstrated ability to build and scale data & analytics organizations or practices.
• Experience implementing enterprise data governance processes (privacy, MDM, access rights, data integrity).
• Experience procuring and integrating third‑party data sources.
 

Preferred Skills

• Experience with BI and analytics tools such as Power BI, Tableau, or Looker.
• Familiarity with distributed data strategies and modern cloud storage technologies.
• Strong written and verbal communication skills with the ability to simplify complex concepts.
• Proven ability to build performance metrics for analytics models and digital properties.
 

Who You’ll Work With

Reports to: Executive Director
Works closely with: Technology, Analytics, Product, Finance, and Business Unit leadership teams
• Part of a team that values collaboration, communication, and doing what’s right for the guest


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