Growth Analytics & Operations Lead

Role Overview

We’re looking for a Growth Analytics & Operations Lead to own how Haystack measures paid growth and how the growth budget gets spent well. You will work day to day with our Growth Marketing lead, who runs the campaigns, our BD lead, our data teammate, and engineering.

What You Will Do

Own paid growth measurement, design and automate reporting systems and dashboards, build the LTV, CAC and payback model, and identify and communicate actionable insights.

Why It Might Be a Fit

You are a data native, marketing attribution minded, experimentation-minded, business fluent, and proactive and hands-on individual who genuinely uses AI tools daily.

Requirements

• Bachelor’s degree in a quantitative or analytical field required (e.g. Mathematics, Economics, Statistics, Engineering); advanced degree is a plus (MBA or M.S.).
• 2 to 3 years in growth or marketing analytics, marketing operations, or media buy operations, including at least 2 years inside a paid acquisition team at a consumer app, streaming, media or gaming company.
• Data native—fluent in SQL, comfortable in Snowflake (or similar), and experienced in building analytics from 0→1, including automated dashboards (Looker, Mode, Tableau, or equivalent).
• Marketing Attribution Minded: You have owned or run an MMP or attribution setup (AppsFlyer, Adjust, Branch or similar) and understand SKAdNetwork, lookback windows and deep linking.
• Experimentation-minded—you design and interpret controlled tests, know how to evaluate statistical significance, and connect results to actionable outcomes.
• Business fluent—you think in terms of unit economics, growth levers, and ROI, not just metrics.
• Have built or maintained an LTV or payback model that a team used to make spend decisions. Python or R is a plus.
• Proactive and hands-on—you put the work on the board yourself, you implement instead of only analyzing, and you raise a flag early when something is blocked.

Benefits

• Competitive compensation
• Benefits

Tagged as: Attribution Modeling, Looker, Python, Snowflake, SQL