Associate Director, Data Strategy & Analytics

Responsibilities

Design the analytical models and metric logic the agent reasons with — contribution margin (CM3), acquisition truth (aMER, NCAC), cohort LTV/payback, ad spend efficiency and marginal‑return analysis, incrementality testing (geo lifts, conversion‑lift, MMM calibration) — from raw platform data to decision‑ready insight.

Define the schemas that encode marketing tradecraft: how creative, channel, financial, and customer data connect into a queryable picture of a brand.

Own accuracy and judgment — what's load‑bearing vs. noise, where attribution lies, how to compute metrics that survive operator scrutiny.

Spec the model; partner with data eng to build the pipeline and the AI team to wire it into agent skills.

Guide incrementality testing strategy across Darkroom's paid media programs — geo holdouts, matched‑market tests, and conversion‑lift studies — and run the power analysis to size tests correctly before spend is committed.

Support MMM strategy, vendor evaluation, and model calibration where programs need it.

Partner with Paid Media and Growth Strategy teams to design tests up front and translate results into clear, executive‑ready budget recommendations.

Requirements

Ran growth at one or more high‑growth DTC / omni‑channel consumer brands — you've managed paid media tactically, not just supervised people who did.

Fluency across the full marketing mix (Meta + Google, plus TikTok, email/SMS, marketplace, organic) — you think in MER/CM/LTV/iROAS, not platform ROAS.

Real data science chops: SQL + Python
otebooks, statistical reasoning, building and validating metric models against messy real‑world data.

Ability to translate between marketer intuition and rigorous structure — and a strong opinion about which metrics actually matter.

Hands‑on experience designing and interpreting incrementality tests — geo holdouts, matched‑market testing, conversion lift — including power analysis/pre‑test sizing.

Experience with MMM, either hands‑on or through vendor/partner management.

Strong written and verbal communication — you can explain measurement tradeoffs and model logic clearly to non‑technical executives and marketers.

Core Competencies
Demonstrates expertise in designing analytical models and metrics for marketing performance, with a strong focus on incrementality testing and data‑driven decision‑making. Proficient in SQL and Python for data analysis, with the ability to communicate complex insights to diverse stakeholders.

#J-18808-Ljbffr