Manager, Product & Marketing Analytics

Job not on LinkedIn

November 25

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

💵 $130k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🎡 Marketing

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Franki

WebsiteLinkedInAll Job Openings

Real Estate • B2B

Franki is a Belgian construction company, part of the Willemen Group since 1998, specialized in building construction, renovation and civil engineering (public works). It delivers residential, educational, industrial and public projects, emphasizes quality, safety and sustainability, and invests in employee training and internal expertise.

201 - 500 employees

Founded 1911

🏠 Real Estate

🤝 B2B

📋 Description

• Lead the end-to-end analytics program across product, marketing, and rewards, setting the measurement strategy and operating model for the company • Build and maintain source-of-truth dashboards, core metrics, and instrumentation standards in partnership with Data Engineering • Run robust experimentation at scale—A/B tests, geo/holdouts, matched markets—and drive causal measurement using CUPED, uplift modeling, and other advanced methods • Own funnel, cohort, retention, and rewards analytics (cashback, Adventures/Gigs, action incentives); identify leaks, quantify opportunities, and propose optimized reward structures • Stand up omnichannel marketing measurement across lifecycle, partners/affiliates, paid social/search, and influencers; lead incrementality and attribution frameworks • Develop LTV, payback, forecasting, and rewards economics models to guide roadmap, budget allocation, portfolio mix, and CAC/LTV guardrails • Publish weekly and monthly executive readouts with decision-ready insights; influence prioritization, staffing, and budget decisions • Ensure data quality and integrity through tracking requirements, validation, anomaly detection, and fraud/abuse monitoring (velocity, collusion, partner attribution, CPA integrity) • Build self-serve semantic layers and Looker dashboards that enable teams to independently answer key questions

🎯 Requirements

• BS/BA in a quantitative field (Statistics, Economics, Computer Science, Engineering, Data Science) or equivalent; MS a plus • 3+ years in product, growth, or marketing analytics, incentives/loyalty analytics, or data science, with 1+ years in a lead or ownership role • Advanced SQL and Python (pandas, statsmodels, causal inference); experience building scalable dashboards and pipelines in BigQuery and Looker • Expertise in experimentation design: A/B tests, CUPED, geo/holdouts, power analysis, uplift modeling; familiarity with experimentation platforms like Eppo, Statsig, or LaunchDarkly • Strong analytics and modeling skills: LTV, propensity, churn/survival, MMM, budget/payout optimization, and causal inference methods • Product and marketing analytics experience: funnels, retention, cohorting, lifecycle measurement, attribution, channel mix/ROAS, and audience targeting • Strong product sense with the ability to translate complex data insights into clear, actionable recommendations that drive product and growth decisions.

🏖️ Benefits

• Competitive compensation and 100% covered healthcare, dental, and vision benefits for employees • PTO: 15 days per year, plus additional PTO between Christmas and the end of the year (25th Dec - 31st Dec) • Recognize 11 public holidays per year • 401(k) • Equipment: Computer & technology equipment applicable to your role • Monthly Stipend: $20 (Tax-free) to cover home office expenses