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Analytics Director Jobs in Decatur, GA (NOW HIRING)

We are seeking a hands‑on analytics Manager/Director to lead a portfolio of high‑impact initiatives, drive cross‑functional delivery, and personally develop analytical solutions. This role is ...

Sr. Director of Growth Analytics - SMB Growth Organization Make your mark at one of the biggest names in payments. We're looking for a senior leader to shape the future of global commerce by building ...

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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.

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:
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.

Director of Insurance Analytics

MSIG Holdings USA, Inc.

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

MSIG USA continues to grow!

Company Overview:

MSIG USA is the US-based subsidiary ofMS&AD Insurance Group Holdings, Inc., one of the world's top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+ countries and regions. Leveraging our 350-year heritage, MSIG USA brings the financial strength, expertise, and global footprint to offer commercial insurance solutions that address your business's unique risks.

Summary/Job Purpose:

Part of the MS&AD group, a top-10 global P&C insurance carrier, MSIG USA is on a mission to become a data-driven leader in specialty insurance, focused on ambitious and profitable growth. Our Insurance Analytics function is at the heart of this transformation - delivering analytics and data science solutions that drive impact across Underwriting, Pricing, Claims, Actuarial and beyond.

We are seeking a hands-on analytics Manager/Director to lead a portfolio of high-impact initiatives, drive cross-functional delivery, and personally develop analytical solutions. This role is ideal for a builder-leader who thrives on both technical execution and stakeholder engagement.

You will lead the full analytics lifecycle end-to-end: problem framing and hypothesis definition, experimentation and modeling, and operationalization into repeatable decision support with monitoring and sustained adoption. Success is measured by measurable business outcomes, not slideware.

(Hybrid - 4 days in office; remote considered in exceptional circumstances)

Essential Functions

  • Lead a portfolio of analytics & data science initiatives
  • Own a portfolio of initiatives end-to-end: problem framing, prioritization, delivery planning, stakeholder alignment, and measurable business outcomes.
  • Translate ambiguous business questions into clear problem statements, hypotheses, and structured analytical approaches that influence decisions and operations.
  • Define success metrics and measurement plans (including benefit estimation) and track adoption and impact over time.
  • Drive cross-functional delivery across Underwriting, Pricing, Claims and Actuarial; ensure solutions are practical, adopted, and aligned to business priorities.
  • Partner closely with business leaders to align work to decision needs, manage tradeoffs transparently, and maximize impacts
  • Contribute directly by writing and reviewing code (Python & SQL), building analytical prototypes, reusable analytics assets, and decision-support tools, and unblocking technical decisions.
  • Apply statistical and machine learning techniques (e.g., regression, classification, clustering, time series) to solve business problems and support decision-making.
  • Develop and deploy solutions in a cloud-based analytics environment, partnering with platform and engineering teams to operationalize outputs into business workflows and drive sustained adoption.
  • Design and execute experiments and tests (as appropriate to the use case) to evaluate interventions, quantify impact, and support decision-making.
  • Define and reinforce production-minded practices and standards for analytical quality appropriate to the use case: validation, testing/controls, documentation, reproducible code, and operational transition plans for ongoing use.
  • Establish monitoring expectations appropriate to the solution (e.g., usage, data quality, and model performance) and drive continuous improvement based on signals.
  • Deliver decision support for Underwriting and Pricing/Actuarial
  • Lead and contribute to solutions that improve underwriting and pricing decisions (e.g., portfolio diagnostics, segmentation and feature development, workflow decision support), partnering closely with business leaders to drive adoption and measurable impact.
  • Support implementation into decisions and processes by educating stakeholders on model/analysis intent, limitations, and appropriate use, and by providing practical documentation and tooling.
  • Communicate findings clearly to both technical and non-technical audiences, and translate insights into concrete actions, process changes, or product improvements.
  • Partner with Claims leadership to identify and deliver high-value analytics and decision support opportunities that improve operational effectiveness and outcomes.
  • Support the data enablement needed for claims analytics in partnership with data and technology teams; translate claims workflows into analytics-ready measures and repeatable decision support and reporting.
  • Where applicable, help operationalize and monitor analytical solutions used in claims decisioning and workflows.
  • Serve as a trusted thought partner to senior stakeholders; communicate clearly, facilitate working sessions, and manage tradeoffs transparently.
  • Produce executive-ready narratives that connect analytical evidence to decisions, risks, and tradeoffs.
  • Mentor data scientists/analysts on problem structuring, technical approach, and effective communication.
  • Over time, help build the team through hiring, onboarding, and talent development as scope expands; responsibilities may evolve into formal people leadership.
  • Collaborate with technology and data platform teams to enable responsible deployment and operation of analytics solutions (access, security, maintainability, and monitoring expectations appropriate to the solution), without owning enterprise platforms.
  • Help define reusable patterns for analytics delivery (templates, review checklists, documentation standards) that reduce friction and improve time-to-value.

Supervisory Responsibilities:

  • This position is a hands-on program/initiative lead and may include people leadership. Scope and people-management responsibilities will vary by final level (Manager vs Director) and organizational needs.

Qualifications:

  • To perform this job successfully, an individual must be able to perform each essential duty. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Required Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field or equivalent practical experience.
  • 7+ years of experience in analytics or data science, with a track record of delivering measurable business impact.
  • 2+ years leading analytics initiatives and/or mentoring technical team members in a senior/lead capacity.
  • Proficiency in Python and SQL; ability to write production-quality analytical code and review others' work.
  • Strong communication skills with ability to influence senior stakeholders; translate technical work into clear decisions, actions, and tradeoffs

Preferred Qualifications

  • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field (or equivalent practical experience).Property & Casualty insurance experience (commercial lines preferred) or demonstrated ability to ramp quickly in complex domains.
  • Experience productionizing analytics/model outputs in partnership with engineering teams (e.g., APIs/services, CI/CD, containerization).
  • Experience with cloud-based analytics environments and modern ML frameworks (e.g., scikit-learn, XGBoost).
  • Experience with experimentation, causal inference, or rigorous measurement approaches in business settings.
  • Experience establishing monitoring practices appropriate to the solution (e.g., model performance, data quality, usage/adoption).
  • Familiarity with BI tools (Power BI, Tableau) and data visualization best practices.
  • Track record of mentoring, coaching, and/or managing technical teams.

#LI-HYBRID


Salary: The base pay range is $225,000.00 - $250,000.00 . Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location.
Additional Benefits:
Healthcare and Retirement Benefits
Comprehensive medical, dental, and vision coverage
401(k) with a generous employer match and profit-sharing contribution
Wellness incentive program
Life and accidental death and dismemberment (AD&D) insurance
Flexible spending programs
Short-term and long-term disability plans
Additional Benefit Programs
Paid time off program
Paid charitable leave
Paid parental leave
Tuition reimbursement program
Personal insurance (auto/homeowners) discounts

It's an exciting time for our company and a great opportunity to join a financially sound and growing global insurance group!


It is the policy of MSIG USA to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, MSIG USA will provide reasonable accommodations for qualified individuals with disabilities.