Decision Intelligence Analyst - Hybrid (Atlanta)

good2grow® is a children’s beverage company based in Atlanta, Georgia. Our mission is to use fun to help kids consume healthier products. And our commitment to this mission has made us a high‑growth innovative beverage company, with a large, diverse, and ever‑growing set of retail partners. We create better‑for‑you drinks that give both parents and kids a smile by combining great taste with tons of fun.

We partner with some of the biggest names in entertainment including Disney, Universal Studios, Nickelodeon, Hasbro and so many more to top our products with 100s of all of their favorite characters. Our line of products include juices, flavored waters and milks, so there’s something to make everybody smile.

good2grow® offers a competitive benefits package, including Medical, Dental, Vision, 401(k) with company match, Health Savings Account, Flexible Spending Account, Short and Long Term Disability (along with salary continuation), a robust Parental Leave Policy, Life Insurance, 12 Paid Holidays, plus a generous Paid Time Off package. Through our community involvement and employee engagement initiatives, you will see that we value our employees’ experience and the community around us.

At good2grow®, you will be consistently challenged, and your opportunities will only be limited by your ambition!

The Decision Intelligence Analyst is responsible for designing, building, and maintaining complex multi‑step AI agents, predictive models, and analytical automations that support the BIA functions. This role serves as the scientific authority on agent design patterns and provides statistical assessments for incoming build requests, working under the direction of the DI Manager.

Candidates must reside in the Atlanta area to be considered for this role.

• Strong analytical mindset, decision‑making and problem‑solving skills
• Ability to influence – communicate clearly and concisely to gain alignment and drive action across varying audiences
• Strong Excel and PowerPoint skills
• Time management and project management skills a must!
• Attention to details and dedication to getting things right
• Maintain high level of organization, time management and project management skills, commitment to follow through, enthusiasm, and motivation

• Design and build complex AI agents, multi‑step orchestrations and complex models using Claude Code and related tooling owned end‑to‑end by this role in partnership with the requesting CDP or function lead.
• Maintain and update live agents as business conditions change: adjust thresholds, update logic, debug failures, and coordinate with Data Reliability on data pipeline issues;
  Monitor the health of assigned agents; flag output anomalies to Manager; perform debugging on known issue types.
• Assess technical feasibility of incoming DI build requests; estimate complexity; advise the Manager on sequencing and architecture decisions;
• Document build logic, data inputs, and maintenance runbooks for all assigned automations.
• Any and all other duties as assigned by the supervisor

Required:

• Bachelor's degree in math, business analytics, data analytics, computer science, data science, or engineering
• 2 years experience OR a higher education degree in statistics, analytics, computer science or data science
• Experience with Claude API or similar LLM development platforms
• Experience with Python and data manipulation libraries (pandas, etc.)
• Experience in analytics engineering, data science, or software development
• Familiarity with LLM APIs or prompt engineering
• Strong analytical thinking and attention to build quality

Preferred:

• Experience in data sampling, statistics, and classification and prediction models
• Familiarity with CPG data sources or commercial data environments
• Experience with SQL, dbt, or data pipeline tooling

Standard professional office environment with a hybrid work schedule. Employees are expected to work on‑site 2–3 days per week, with specific in‑office days determined by business needs, including collaboration, planning sessions, training activities, and other team or…