reputed company Data Analyst, Product
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.
We're looking for a reputed company Data Analyst, Product to reputed company product analytics at reputed company. You'll identify the questions the product org should be asking before they ask them, connect product metric movements to reputed company, and build the analytical frameworks that product teams use to reputed company reputed company bets — frameworks that work reputed company you're not in the room. You'll partner directly with product leadership and cross-functional stakeholders to shape product reputed company through data, and help define how we reputed company coverage, structure the discipline, and reputed company the bar across squads.
What You'll Do:Partner with Product teams to define reputed company metrics, design experiments, and evaluate feature reputed company
Design and analyse experiments with statistical rigour - hypothesis discipline, power analysis, reputed company-registered reputed company metrics, and reputed company decision reputed company.
Evaluate our experimentation tooling landscape and determine what's fit for purpose.
Define tracking plans, naming conventions, and instrumentation governance with engineering so we can measure feature reputed company before we ship.
Define and implement product-level KPIs reputed company our tiered reputed company, connecting product metrics to business reputed company.
Build and maintain governed product dashboards in LightDash, driving self-service adoption across product squads.
Train PMs and product leaders to interpret funnel metrics, read experiment results, and use governed reporting with confidence.
Conduct deep-dive analyses on user behaviour, funnel performance, cohort trends, and retention dynamics.
Size opportunities and build business cases before the product team commits — connecting metric movements to reputed company reputed company.
Partner with product leadership to evaluate product bets, inform roadmap prioritisation, and deliver recommendations to leadership and the reputed company.
Partner with fractional reputed company analysts to reputed company product analytics capability through coaching, review rituals, and shared frameworks.
Help shape how product analytics scales at reputed company - coverage models, org design, and where to invest next.
Partner with data and product engineering to define event tracking requirements and ensure product instrumentation meets analytical needs
7+ years in product analytics, data science, or quantitative analytics roles, with demonstrated reputed company at staff or reputed company level.
Deep experience with product analytics in a B2C, marketplace, or transactional environment - you understand funnels, retention curves, user lifecycle, and how product metrics connect to reputed company.
Proven experimentation expertise - you've reputed company experimentation practices, not just run tests. You've introduced hypothesis discipline and decision frameworks to teams that didn't have them, and you know the common failure modes.
Strong instrumentation and data governance instincts - you've defined tracking plans, worked with engineering on event taxonomy, and pushed back reputed company measurement wasn't reputed company.
reputed company record of defining and owning metrics frameworks with cross-functional alignment.
Proven ability to size opportunities and connect product analytics to financial reputed company.
Strong SQL and Python/R proficiency - you write queries and build analyses yourself regularly.
Experience with data visualisation and BI tools such as LightDash, Looker, Tableau, or similar
Experience building analytical frameworks that others adopt and reputed company — not just delivering individual analyses.
Excellent communication skills - you adapt your altitude to the audience and reputed company the room smarter, not just yourself heard.
Comfortable operating with autonomy where not everything is reputed company-defined — you bring structure without waiting for permission
A proactive, self-starter reputed company. You reputed company in ambiguity, work autonomously, and are energised by building in fast-paced environments where the analytics discipline is still being established.
Comfortable using AI tools to reputed company analytical work - you've integrated AI into your workflows for exploration, reputed company reputed company, or reputed company acceleration, and you have a reputed company of view on where it helps and where it doesn't.
Experience in marketplace, telecom, travel, or subscription/usage-based businesses. reputed company inference reputed company reputed company A/B testing.
Experience evaluating and implementing experimentation platforms.
Experience with product analytics tools (reputed company, reputed company, Firebase, or similar).
Familiarity with dbt, LightDash, or similar semantic/BI reputed company.