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Data Analytics Lead Jobs in Georgia (NOW HIRING)

The IT Data & Analytics Lead will help build a new centralized analytics function. This role blends business ownership with technical expertise, owning analytics outcomes while designing scalable ...

... Lead is the trusted-data and insight engine of the commercial organization and serves as the owner ... This position will work upstream the ops-data analytics team, reporting to the VP of Sales ...

Lead the U.S. enterprise data analytics framework, BI reporting, AI-enabled analytics, data governance, and knowledge governance. * Support management decision-making by delivering standardized ...

... Lead opening This hybrid role is based in our Atlanta, GA, Raleigh, NC or Boston, MA offices ... Externally, you will work with data and analytics vendors and partners. What you'll do * Analytics ...

Data Analyst 3

Duluth, GA ยท Hybrid

$85K - $100K/yr

Role Purpose The Strategic Vendor Management Data & Analytics Lead is the central authority for SVM data, analytics, reporting, and enablement tools. This role supports SVM leadership, the Strategic ...

Lead strategic proposals, RFPs and commercial discussions within your area of expertise. * Define and evolve innovative AI, Data, Analytics service offerings that complement Tenthpin's market-leading ...

Lead strategic proposals, RFPs and commercial discussions within your area of expertise. * Define and evolve innovative AI, Data, Analytics service offerings that complement Tenthpin's market-leading ...

Externally, you will work with data and analytics vendors and partners. What you'll do * Analytics Leadership: Provide clear expertise for opportunities to leverage advanced analytics, especially ...

Manager, Data Analytics

Atlanta, GA ยท Hybrid

$111K - $145K/yr

Lead a team of data analysts * Compliance with all applicable laws and regulations (DO NOT REMOVE - REQUIRED) * Other duties as assigned (DO NOT REMOVE - REQUIRED) Requirements: * 4+ years of ...

At Prologis, we don't just lead the industry-we define it with a 1.3 billion square foot portfolio ... Job Title: Program Director, Data & Analytics Company: Prologis A day in the life As Program ...

Lead Advanced Analytics

Alpharetta, GA ยท On-site

$128K - $215K/yr

Strategically analyze data from diverse sources using advanced predictive modeling, statistics, and ... The Lead Advanced Analytics role is responsible for designing, developing, and maintaining advanced ...

Manager, Data Analytics

Atlanta, GA ยท On-site

$111K - $145K/yr

Lead a team of data analysts * Compliance with all applicable laws and regulations (DO NOT REMOVE - REQUIRED) * Other duties as assigned (DO NOT REMOVE - REQUIRED) Requirements: * 4+ years of ...

Manager, Data Analytics

Atlanta, GA ยท Hybrid

$111K - $145K/yr

Lead a team of data analysts * Compliance with all applicable laws and regulations (DO NOT REMOVE - REQUIRED) * Other duties as assigned (DO NOT REMOVE - REQUIRED) Requirements: * 4+ years of ...

Strategically analyze data from diverse sources using advanced predictive modeling, statistics, and ... The Lead Advanced Analytics role is responsible for designing, developing, and maintaining advanced ...

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Showing results 1-20

Data Analytics Lead information

See Georgia salary details

$51.1K

$104.6K

$147.8K

How much do data analytics lead jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data analytics lead in Georgia is $104,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,700.00 and $129,600.00 per year, depending on experience, location, and employer.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often senior positions such as Chief Data Officer or Data Science Director, which require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities. These roles can offer salaries exceeding $150,000 annually, depending on the industry and location.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and making strategic recommendations that require human judgment. Data analysts will increasingly work alongside AI, focusing on higher-level analysis, storytelling, and decision support skills.

What does a typical day look like for a Data Analytics Lead?

A typical day for a Data Analytics Lead often involves overseeing a team of analysts, scoping and prioritizing new data projects, and translating business questions into analytic solutions. You might spend part of your day working hands-on with data, reviewing code or dashboard outputs, and part collaborating closely with business stakeholders to clarify requirements and share actionable insights. Additionally, you'll provide mentorship to the analytics team and ensure data quality and consistency across projects. This balanced mix of technical, managerial, and collaborative work makes the role both challenging and rewarding.

What does a Data Analytics Lead do?

A Data Analytics Lead is responsible for overseeing data analysis activities, guiding a team of analysts, and translating business needs into data-driven insights. They develop data strategies, ensure data accuracy, and communicate findings to stakeholders to drive decision-making. This role involves using analytical tools, managing data infrastructure, and collaborating with various departments to optimize business performance. Strong leadership, technical expertise, and problem-solving skills are essential for success in this position.

What does a data analytics lead do?

A data analytics lead oversees the analysis of data to identify trends, generate insights, and support decision-making within an organization. They manage data teams, develop analytics strategies, and often use tools like SQL, Python, or Tableau to interpret complex datasets and communicate findings effectively.

What are the key skills and qualifications needed to thrive in the Data Analytics Lead position, and why are they important?

To thrive as a Data Analytics Lead, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field and several years of analytics experience. Mastery of tools such as SQL, Python or R, BI platforms (like Tableau or Power BI), and often certifications in analytics or data science are highly valued. Strong leadership, project management, and communication skills help you effectively guide teams and translate data insights to stakeholders. These capabilities ensure you can drive data-driven decision-making and lead successful analytics initiatives in dynamic business environments.

Is 40 too late for data science?

For a Data Analytics Lead, age is not a barrier to entering or advancing in data science. Success depends on skills, experience, and continuous learning, such as mastering tools like Python or SQL, rather than age. Many professionals transition into data science later in their careers and find opportunities based on their expertise and adaptability.
What cities in Georgia are hiring for Data Analytics Lead jobs? Cities in Georgia with the most Data Analytics Lead job openings:
Infographic showing various Data Analytics Lead job openings in Georgia as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $104,576 per year, or $50.3 per hour.
Data & Analytics Lead - IT

Data & Analytics Lead - IT

Wayne Farms LLC

Oakwood, GA โ€ข On-site

Full-time

Posted 9 days ago


Job description

Job Summary: The IT Data & Analytics Lead will help build a new centralized analytics function. This role blends business ownership with technical expertise, owning analytics outcomes while designing scalable data models. You'll shape strategy, partner with stakeholders, and establish trusted data practices that drive meaningful metrics and business decisions.
Job Responsibilities:
Analytics Strategy & Business Ownership
  • Strong business acumen and ability to partner with business stakeholders and leadership to define key metrics, KPIs, and success measures
  • Translate business problems into prioritized analytics initiatives and analytics outcomes
  • Own and maintain the analytics roadmap, backlog, and prioritization of projects
  • Communicate insights, tradeoffs, and data changes to senior stakeholders
  • Establish and maintain a shared understanding of metrics, data standards, and ownership across the organization

Analytics Engineering & Technical Leadership
  • Provide guidance and leadership to consultants during the implementation of the cloud data platform and development of analytics capabilities
  • Support the design and building of analytics ready data models and datasets
  • Establish best practices for data modeling, metric definitions, and dataset design
  • Review and contribute to analytics engineering code with a focus on correctness, performance, and maintainability
  • Experience with BI and reporting tools (Tableau, Power BI, Looker, etc.)
  • Define and enforce metric definitions and analytic standards
  • Implement data quality checks, validation tests, and monitoring
  • Implement data quality checks, validation tests, and monitoring

Enablement & Scale
  • Make self service analytics easier and safer for analysts and business users
  • Promote data literacy and drive adoption of data-driven decision making across the organization
  • Define and implement the analytics intake, prioritization, and delivery process
  • Establish best practices to ensure consistency and trust in data, analytics, and reporting
  • Establish standards for analytics development, testing, deployment, and documentation
  • Create and maintain clear documentation of data sources, transformations, definitions, and logic

Experience:
  • 10+ years in relevant work experience
  • 5+ years in analytics, BI, or analytics engineering roles
  • Experience with cloud data platforms (Snowflake, Databricks, Fabric, etc.)
  • Strong SQL and data modeling experience
  • Familiarity with BI tools (Tableau, Power BI, Looker)
  • Experience working in early-stage or building-from-scratch environments preferred
  • Strong communication and stakeholder management skills

Knowledge, Skills and Abilities:
  • Experience working in early-stage or building-from-scratch environments
  • Familiarity with data ingestion tools (Fivetran, Airbyte, etc.) preferred
  • Exposure to version control (Git) and CI/CD practices
  • Experience with statistical modeling, predictive analytics, and machine learning to support advanced analytics initiatives
  • Understanding of data warehousing concepts (fact/dimension models, etc.)
  • Basic Python (nice to have, not required)
  • Ability to translate ambiguous questions into structured analytics

Supervisor Responsibilities:
  • None. This is an individual contributor role

Education
  • Bachelor's degree in Computer Science, Data Science, Information Systems, or related field; Master's degree preferred.

Work Environment:
  • While performing the duties of this job, the employee is exposed to typical risks of injury in an office environment.
  • Duties include a typical office setting including extensive computer work, sitting or standing.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Must adhere to the company's Code of Conduct and all other policies.

Safety Requirements:
  • Follows all departmental and company safety policies and programs.

EQUAL OPPORTUNITY EMPLOYER
As an Equal Opportunity Employer, Wayne-Sanderson does not discriminate on the basis of race, creed, color, religion, gender (sex), sexual orientation, gender identity, marital status, national origin, ancestry, age, disability, citizenship status, a person's veteran status or any other characteristic protected by law or executive order.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.