Data Analytics Lead Jobs in Georgia (NOW HIRING)

RESPONSIBILITIES:
Kforce has a client in Oakwood, GA that is seeking a Data & Analytics Lead who will help build a new centralized analytics function.
Job Responsibilities:
Analytics Strategy & Business Ownership:
* 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
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
REQUIREMENTS:
* 10+ years of relevant work experience
* 5+ years of experience 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
* 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
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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