Performance & Marketing Analytics Lead @Yesim.app

We're Hiring: Performance & Marketing Analytics Lead

Location: Remote

Team: Growth

About Us We are a fast-growing global leader in the eSIM industry, on a mission to revolutionize global connectivity. Our product empowers travelers and digital nomads with seamless, affordable, and instant internet access — without the hassle of traditional SIM cards.

We’re building a world-class Growth team that drives data-informed decisions, shapes product strategy, and redefines telecom analytics on a global scale.

About the Role: Performance & Marketing Analytics Lead

As the Performance & Marketing Analytics Lead, you will be at the core of our growth strategy. This role requires a rare blend of analytical depth, technical skills, and business acumen. You will be responsible for uncovering insights across user behavior, attribution, LTV, CAC, and product usage patterns — and turning them into growth-driving strategies.

Key Responsibilities

Attribution Modeling: Develop and maintain logic across all performance and non-performance channels (first-touch, last-touch, DDA, rule-based) to evaluate CAC and LTV dynamics accurately.

Customer Acquisition Cost (CAC) Analysis: Set up logic and dashboards to calculate full-funnel CAC, including hidden/implicit touchpoints, media inefficiencies, and branded traffic spillover.

Cross-Channel Performance Analysis: Identify synergies and overlaps across user journeys by modeling the interplay between paid, organic, referral, and PR channels.

Seasonality Modeling by Market Build and maintain seasonality heatmaps by nationality and travel destination based on historical and transactional behavior to support LTV forecasting and CAC optimization.

Predictive LTV Modeling Collaborate on building LTV prediction models based on early user signals (first offer purchased, device, location, offer).

Organic Baseline Demand Definition: Segment and analyze organic traffic and purchasing patterns to isolate real product-market fit from paid traffic effects.

Product Portfolio Performance Evaluation: Classify SKUs into lead generators, converters, and retention drivers based on behavioral and cohort analytics.

User Segmentation Frameworks: Develop and iterate on user archetypes (by country, device, offer, trip duration, behavior) and integrate with targeting logic.

Product Improvement Insights: Identify drop-offs, bottlenecks, and churn signals across countries and user types to guide product roadmap priorities.

Weekly Insight Presentations: Deliver regular insight reports with quantified business impact to support marketing strategy and budget allocation.

What We’re Looking For

Fluent in Power BI, AppsFlyer, Google Ads, Facebook Ads, and internal admin panels

Able to build and test hypotheses independently (Excel / SQL / Python)

Strong understanding of attribution, user funnels, and retention mechanics

Strategic thinker with excellent data storytelling skills

Proactive, self-driven, and business-outcome oriented

Languages: English: B2–C1, Russian: Native / C1