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Analytics Director Jobs in Decatur, GA (NOW HIRING)

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Analytics Director information

See Decatur, GA salary details

$69.3K

$154.4K

$238.7K

How much do analytics director jobs pay per year?

As of Jul 10, 2026, the average yearly pay for analytics director in Decatur, GA is $154,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $175,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Analytics Director, and why are they important?

To thrive as an Analytics Director, you need strong analytical abilities, expertise in statistical methods, advanced data modeling, and typically a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and experience with big data systems are common requirements. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional projects and translate complex data into actionable insights for stakeholders. These skills and qualities are essential to effectively lead analytics teams, influence business decisions, and deliver measurable value to the organization.

What does an Analytics Director do?

An Analytics Director leads a team responsible for analyzing data to inform business decisions and strategies. They oversee the collection, interpretation, and communication of data insights across departments, ensuring data-driven decision-making. Their role often includes developing analytics frameworks, managing data teams, setting key performance indicators, and collaborating with leadership to align analytics initiatives with organizational goals. Additionally, Analytics Directors help implement data governance policies and ensure analytics tools and techniques are effectively utilized.

What are some common challenges faced by an Analytics Director and how can they be addressed?

Analytics Directors often encounter challenges such as aligning analytics initiatives with overall business goals, managing and integrating data from multiple sources, and communicating complex findings to non-technical stakeholders. To address these, it's important to foster close collaboration with business leaders, invest in scalable data infrastructure, and develop strong communication skills within the analytics team. Building a culture of data-driven decision-making and continuous learning also helps overcome these obstacles and ensures the analytics function delivers real value.

What is the difference between Analytics Director vs Data Scientist?

AspectAnalytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Business, Analytics, or related fields; often prefers experience over certificationsBachelor's or Master's in Computer Science, Statistics, or related fields; may have certifications like Certified Analytics Professional
Work EnvironmentLeads analytics teams, collaborates with executives, oversees strategyAnalyzes data, builds models, and develops algorithms, often working independently or in small teams
Employer & Industry UsageCommon in corporate, finance, marketing, and consulting firmsFound in tech companies, research institutions, and data-driven industries

The Analytics Director focuses on leading analytics strategies and managing teams, while Data Scientists primarily analyze data and develop models. Both roles require strong analytical skills, but the Director has a broader leadership and strategic focus.

What Does an Analytics Director Do?

An analytics director oversees the data analytics and data warehousing departments at a company. As an analytics director, you take the lead on all data analytics systems and ensure your department aligns with the company’s priorities. You research and develop strategies to improve the analytics of your company. You collaborate with your team along with other members of your company’s senior leadership to influence data capabilities and competencies in the company. Your responsibilities include adopting appropriate tools and software to drive innovation. Other duties include staying informed on the latest industry trends in data analytics.

More about Analytics Director jobs
What are the most commonly searched types of Analytics jobs in Decatur, GA? The most popular types of Analytics jobs in Decatur, GA are:
What job categories do people searching Analytics Director jobs in Decatur, GA look for? The top searched job categories for Analytics Director jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Analytics Director jobs? Cities near Decatur, GA with the most Analytics Director job openings:
Analytics Director jobs near you
Infographic showing various Analytics Director job openings in Decatur, GA as of July 2026, with employment types broken down into 1% Internship, 88% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $154,374 per year, or $74.2 per hour.
S&R Director of Supervision Analytics and Modeling

S&R Director of Supervision Analytics and Modeling

Federal Reserve Bank of New York

Atlanta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Overview

As a Director of Supervision Analytics and Modeling at the Federal Reserve Bank of Atlanta, you will lead a team of data scientists to develop and implement advanced models and tools that improve operational efficiencies and identify financial sector risks. The role emphasizes innovation in artificial intelligence, machine learning, and emerging technologies while maintaining model risk management best practices and delivering high‑quality analytical products to stakeholders.

Onsite Requirement

This position requires onsite work in Atlanta, as directed by management.

Responsibilities
  • Lead and develop a high‑performing team of data scientists, providing direct supervision, strategic direction, and performance management.
  • Manage end‑to‑end talent functions, including hiring, goal setting, delegation, feedback, and inclusive career development.
  • Drive the strategic development and deployment of AI, ML, and augmented intelligence solutions to enhance operational efficiency and risk identification.
  • Champion innovation and continuous improvement through forward‑looking internal processes that strengthen risk monitoring, reporting, and supervisory responsiveness.
  • Exercise business judgment in resource allocation and prioritization, balancing Reserve Bank and Federal Reserve System priorities while ensuring efficient use of departmental assets.
  • Coordinate cross‑functional resources and influence outcomes of analytical tools, risk identification frameworks, and operational models at local and system levels.
  • Serve as the bridge between technical execution and business strategy, translating complex requirements into actionable features and deliverables.
  • Establish relationship management practices and communication channels to deliver high‑quality products and models that meet stakeholder needs.
  • Provide technical expertise and thought leadership on AI, ML, and specialized analytics through research, internal consultation, and external engagement at conferences and training venues.
  • Maintain current knowledge of model risk management practices, technical modeling methodologies, and data management standards, influencing strategic initiatives across the system.
Education & Experience
  • Bachelor’s degree in data science, computer science, mathematics, statistics, mathematical finance, operations research, economics, or a related field with a minimum of 10+ years of professional experience, including 3+ years of supervisory responsibilities.
  • Master’s or PhD in a related field with a minimum of 7+ years of professional experience, including 1+ year of supervisory responsibilities.
  • Seven+ years of experience with a Master’s degree or ten+ years without.
  • Functional knowledge in financial economics, bank accounting, data architecture principles, maturity models, emerging technologies, and strategic analytics.
Technical Skills
  • Proficiency in at least one widely used statistical or data science programming language (e.g., R or Python).
  • Strong programming, statistical analysis, architecture frameworks, and data management skills.
  • Experience with data analytics and business intelligence tools.
Managerial Competencies
  • Communicates effectively and displays interpersonal savviness.
  • Demonstrates decision quality and develops and engages talent.
  • Exhibits courage, reflects a strategic mindset, values differences, and ensures accountability.
Employment Status

Full‑time, exempt position. Regular job shift in the United States.

EEO Statement

The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.

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