Midcap & Agency Lead Analyst

About Keen

Keen Decision Systems is an AI-native MarketingOS that helps marketing and finance leaders connect marketing investment directly to P&L outcomes. Built on proprietary Bayesian regression and probabilistic modeling, Keen’s platform spans marketing mix modeling, media planning, and scenario optimization, and is moving toward a fully closed-loop agentic system that carries a decision from data to measurement to planning to execution. The methodology is grounded in a dataset covering 400+ brands and more than $42B in tracked media spend, giving Keen a view of marketing performance no single client or agency can see on its own.

Keen is different. As a Inc. 5000 Fastest-Growing Private Company and a Triangle Business Journal Top 10 Best Place to Work, we’re growing quickly. But our growth isn’t the only thing that differentiates us.

At Keen, we are proponents of a Conscious Culture. Conscious Culture is an environment built on purpose. A Conscious Culture means that time and effort have been invested into making sure that how our company operates is as important as our business outcomes. Because we work smarter Monday-Thursday, we’re able to offer all employees a three-day weekend.

About the position

Location: 

Cary, North Carolina

Position Duties:

• Gather information to determine potential sales of a product/service, or plan a marketing campaign.
• Configure, run, and interpret Monte Carlo-based scenario simulations and optimized media plans, translating probabilistic forecasts, diminishing returns, and constraint driven outcomes into actionable account strategies.
• Collect and analyze data on customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand.
• Serve as a strategic partner to Account Directors by shaping analytical narratives and supporting executive-level storytelling, contributing to QBRs, Top-to-Tops, and planning discussions through data-backed insights and recommendations.
• Drive advanced model diagnostics and quality assurance by evaluating statistical fit, posterior stability, ROI and elasticity outputs, contribution decomposition, and data integrity.
• Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
• Recommend structural, prior, or data adjustments to align models with client business objectives.
• Lead the development of client-ready analytical narratives by transforming model outputs (ROI, elasticities, contribution curves, uncertainty intervals) into cohesive, insight-driven presentations that inform planning and long-term growth decisions.
• Establish and scale best practices across the Mid-Cap & Agency portfolio by standardizing workflows, documentation, and analytical frameworks, increasing efficiency, consistency, and quality of delivery across the team.
• Deliver ongoing troubleshooting, model refinement, and performance monitoring for expanding accounts, ensuring analytical rigor and sustained client value.
• Recommend data-driven solutions to key stakeholders.
• Utilize the following tools and technologies: SQL, R, Python, Excel, Tableau, and Power BI.
• Position requires domestic and foreign travel up to 10% as needed and customary for the occupation.
• Position allows work from home anywhere in the United States. Headquarters located at 167 East Chatham Street, Cary, NC.
• Supervise 3 subordinates with the following titles: Analyst, Senior Analyst.

Position Requirements:

• The position requires a Master’s degree or foreign equivalent degree in Marketing Analytics, or closely related field.
• The qualified candidate must have at least 2 years (24 months) of experience in a data analytics position or closely related occupation.
• The qualified candidate must also have at least 2 years (24 months) of experience with all of the following: (a) analyzing business or financial data to identify fall-out points; (b) using programming/scripting languages to design and develop dashboards and visualizations to provide insight to senior leadership; (c) delivering ongoing troubleshooting, model refinement, and performance monitoring for expanding accounts, ensuring analytical rigor and sustained client value; (d) conducting data analysis in SQL, R, and Excel to optimize client goals; (e) applying data analytics modeling techniques to design and execute marketing analytics strategy; and (f) utilizing the following tools and technologies: SQL, R, Python, Excel, Tableau, and Power BI.
• All experience may be gained concurrently.