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Burtch Works · 1 day ago

VP of Analytics

Knoxville, TN

Full-time

Onsite

Director/Executive

$250K/yr - $325K/yr

10+ years exp

Burtch Works is a fast-paced, family-owned agency redefining modern marketing analytics. The Vice President of Data Analytics will lead the agency’s marketing science and advanced analytics practice, focusing on media effectiveness and data-driven growth strategies for enterprise clients.

RecruitingStaffing Agency

Responsibilities

Own and lead advanced marketing analytics engagements including Media Mix Modeling (MMM), Message Mix Modeling, Multi-Touch Attribution, Forecasting, Experimentation, and Optimization

Architect and evolve the agency’s marketing science framework and bespoke modeling offerings

Drive adoption of open-source MMM frameworks such as Meridian, Robyn, or similar solutions

Lead development of proprietary analytics tooling in partnership with Technology, Media, and Data Engineering teams

Establish modern analytics workflows using Python or R, Jupyter notebook environments, and Google BigQuery as the core data platform

Identify and integrate new internal and external datasets to improve modeling accuracy and business impact

Translate advanced statistical results into compelling, executive-ready business narratives and visual storytelling

Serve as a senior client advisor, influencing media, marketing, and executive stakeholders to act on analytical insight

Own client relationships across large-scale marketing investments ($20M–$150M+) with accountability for value realization

Recruit, mentor, and scale a high-performing data science and analytics organization

Qualification

Media Mix ModelingPythonRGoogle BigQueryAdvanced statistical techniquesMachine learningData ScienceClient engagementCommunication skillsLeadershipTeam mentoring

Required

10+ years of experience in marketing analytics, media analytics, or marketing science

5+ years of experience leading analytics or data science teams

Advanced degree (MS or PhD preferred) in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or related field

Deep experience working with digital and cross-channel media data

Proven success delivering analytics solutions within agency or consulting environments

R or Python as primary modeling languages

Media Mix Modeling using Meridian, Robyn, or other open-source frameworks

Google BigQuery as core data warehousing environment

Notebook-based development (Jupyter or equivalent)

Advanced statistical and machine learning techniques including: Bayesian and Multivariate Regression, Time Series Modeling, Forecasting, Predictive Modeling, Experimental Design & RCTs, Discrete Choice Models

10/10 communication capability — able to translate highly technical concepts into simple, persuasive business language

Executive presence with the ability to influence CMOs, agency leaders, and client executives

Proven ability to lead client engagements from pitch through delivery and expansion

Strong client-services mindset with a focus on partnership, trust, and measurable impact