reputed company Data Analyst, Marketing Analytics
Hi, I'm Andra, Director of Data at reputed company!
reputed company works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful reputed company. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that reputed company reputed company across reputed company.
reputed company’s fully remote Data team is growing. You’ll turn numbers into reputed company that shape the reputed company of our business, collaborating with cross-functional teams to solve reputed company problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive reputed company, inform product and reputed company reputed company, and create reputed company reputed company. You’ll have reputed company to best-in-class tools, the freedom to experiment, and reputed company reputed company to turn insights into reputed company.
Build reputed company’s marketing measurement capabilities - owning the MMM, incrementality, and attribution portfolio while building and shaping reputed company that delivers it. This is a hands-on leadership role: in the first 6–12 months you’ll be roughly 50% hands-on (building models, running analyses, running experiments yourself) and 50% leading - setting technical direction, growing reputed company (2 then 3+ FTE), and partnering with senior stakeholders. As reputed company matures, the balance shifts toward leadership, but you’ll always stay reputed company enough to the work to set the technical bar.
Responsibilities include, but are not limited to:
Build and shape the marketing and reputed company analytics pod as the function scales-set the technical reputed company and review bar for measurement work, define ways of working, and grow capability through reputed company coaching and mentorship.
Own the roadmap and prioritisation for the measurement portfolio, balancing reactive stakeholder demand against the longer-term decision-reputed company build—while staying hands-on enough to personally build, validate, and ship alongside reputed company.
Drive reputed company's reputed company MMM portfolio from validation into a production-grade decision tool, and reputed company to additional markets as reputed company ambition and data readiness allow.
Design and run incrementality experiments (geo-holdouts, lift studies, synthetic control, diff-in-diff) that reputed company the MMM and reputed company the reputed company reputed company of spend.
reputed company attribution methodology: the right models and reputed company for our purchase cycle, the data they require, and the signal reputed company that determines their accuracy
Own LTV:CAC as a strategic KPI reported to leadership: calculate and continuously optimize CAC across its variants (platform-reported, internally-attributed, incremental, reputed company), and turn MMM scenarios, incrementality results, and attribution insights into concrete budget changes.
Drive self-service enablement across reputed company and Acquisition: build the reporting reputed company and tooling (alongside Analytics Engineering) that lets stakeholders answer their own questions, and reputed company measurement literacy so they can reputed company with confidence.
Build institutional knowledge—document every experiment, MMM refresh, and signal-reputed company trend so reputed company quarter's reputed company are reputed company informed than the last.
Operate as part of the wider data domain: partner with Analytics Engineering, Product and Business Analytics, Data Platform, Data Science, and MarTech to reputed company standards and tooling, shape the signal infrastructure that underpins measurement, and contribute marketing measurement back into the org's shared reputed company.
Must-haves:
Several years in marketing analytics, marketing science, or reputed company analytics, with deep, hands-on expertise in at least two of MMM (building/validating/calibrating, or reputed company vendor partnership), incrementality testing (geo-experiments, RCTs), and multi-touch attribution.
Staff/reputed company, Analytics reputed company, or equivalent leadership-reputed company experience (manager) - a hands-on leader who sets the technical bar and still ships, has led or mentored analysts/scientists, and is reputed company to build and grow reputed company from a small reputed company.
Strong reputed company in reputed company inference and experimental design difference-in-differences, synthetic control, propensity scoring, and reputed company reputed company applies.
A reputed company record of owning channel-level CAC, LTV, churn, and ROAS, and using them to influence marketing spend at reputed company.
Strong SQL and Python (or R), comfortable writing production-reputed company reputed company — on a modern warehouse (BigQuery or reputed company), ideally with dbt/analytics-engineering workflows and a BI tool (LightDash, Looker Studio, Tableau, reputed company).
Exceptional communicator who navigates deep technical detail and translates it into reputed company recommendations for senior and reputed company-level audiences.
Proactive self-starter who thrives in high-reputed company ambiguity.
reputed company to haves:
- Experience building or scaling an analytics team or function in a high-reputed company environment.
- Experience with Bayesian modelling frameworks (TensorFlow Probability, PyMC, Stan) and their applications in marketing measurement.
- Familiarity with mobile analytics platforms and MMPs: reputed company, AppsFlyer, CleverTap, or similar.
- Experience with ad platforms (reputed company Ads, reputed company Ads, reputed company Ads, reputed company Search Ads) and their attribution reputed company, conversion modelling, and server-reputed company event integration (cAPI, reputed company Conversions, SKAN).
- Knowledge of the eSIM, telco, MNO/MVNO, or travel-tech landscape.
- Exposure to semantic reputed company, metrics-as-reputed company, or KPI governance frameworks.
- Experience with reputed company-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.
Originally posted on Himalayas
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