Principal Data Analyst, Marketing Analytics
TLDR
Own and execute a marketing measurement strategy using Marketing Mix Modeling and incrementality testing to influence business growth across 190+ countries.
Manage and evolve Airalo’s growth MMM portfolio - driving the existing market model from validation into a production-grade decision tool, and scaling to additional markets as growth ambition and data readiness allow.
Design and execute incrementality experiments (geo-holdouts, conversion lift studies, synthetic control, difference-in-differences) that calibrate the MMM and establish true causal impact of marketing spend across channels.
Evolve our attribution methodology: determine the right models and attribution windows for our purchase cycle, specify the data requirements, and measure the impact of tracking remediation on attribution accuracy.
Calculate and continuously optimize the CAC metrics (platform-reported, internally-attributed, incremental, and blended) and own LTV:CAC as a strategic KPI reported to leadership.
Build measurement literacy within the Growth and Acquisition teams: train stakeholders to interpret the LTV/CAC related metrics, understand the difference between attributed and incremental performance, and use self-service reporting with confidence.
Build and maintain the performance marketing reporting framework - with Analytics Engineering to ensure the underlying models serve both reporting and measurement needs.
Act as analytics partner to the Growth and Acquisition teams: translate business questions into measurement plans, deliver the analytics that inform spend decisions, and build self-service reporting that reduces ad-hoc dependency.
Drive adoption of measurement outputs-ensure MMM scenarios, incrementality results, and attribution insights translate into concrete budget allocation changes
Contribute to the development of a unified decision framework that integrates signal health, attribution, and incrementality into budget allocation guidance with clear go/no-go criteria for scaling spend by market and channel.
Build institutional knowledge: document every experiment result, every MMM refresh, and every signal quality trend so that each quarter’s decisions are better informed than the last.
Collaborate with the Senior CDP Engineer and MarTech on the data and signal infrastructure that underpins measurement - defining what you need, so they can build it right.
Several years of experience in marketing analytics, marketing science, or growth analytics, with deep expertise across at least two of Marketing Mix Modeling, Incrementality Testing (geo-experiments, RCTs), and Multi-Touch Attribution.
Hands-on experience building, validating, or calibrating MMM models- whether using Robyn, Google Meridian, PyMC-Marketing, LightweightMMM, Bayesian regression, or working closely with vendors who do.
Strong foundation in causal inference and experimental design: you understand difference-in-differences, synthetic control, propensity scoring, and when each method is appropriate.
Expert-level SQL and Python (or R). You can write production-quality code, not just analysis notebooks.
Experience with modern data warehouses (BigQuery or Snowflake) and familiarity with analytics engineering workflows (dbt preferred).
Experience with data visualisation and BI tools such as LightDash, Looker Studio, Tableau, or Metabase.
Proven track record of calculating and optimising channel-level CAC, LTV, churn, and ROAS, and using these metrics to influence marketing spend decisions at scale.
Exceptional communicator: you navigate deep technical conversations and translate findings into clear recommendations for senior stakeholders and board-level audiences.
A proactive, self-starter mindset. You thrive in ambiguity, work autonomously, and are energised by building in fast-paced, high-growth environments.
Experience with Bayesian modelling frameworks (TensorFlow Probability, PyMC, Stan) and their applications in marketing measurement.
Familiarity with mobile analytics platforms and MMPs: Adjust, AppsFlyer, CleverTap, or similar.
Experience with ad platforms (Google Ads, Meta Ads, TikTok Ads, Apple Search Ads) and their attribution APIs, conversion modelling, and server-side event integration (cAPI, Enhanced Conversions, SKAN).
Knowledge of the eSIM, telco, MNO/MVNO, or travel-tech landscape.
Exposure to semantic layers, metrics-as-code, or KPI governance frameworks.
Experience with privacy-first measurement strategies in the post-cookie, post-ATT world.
Experience with cross-border or multi-market attribution challenges where marketing geography and conversion geography diverge.
Benefits
Paid Time Off
generous PTO
Remote-Friendly
Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat.
Wellness Stipend
wellness and learning allowances
Airalo is the first eSIM store designed to help travelers connect seamlessly across over 200 countries and regions. Our innovative travel-tech platform is transforming the telecom landscape, enabling users to access mobile connectivity easily and affordably while on the go.