Data Analyst – Product

Job not on LinkedIn

🔥 0 minutes ago

🇨🇾 Cyprus – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Finyard

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

At Finyard, pioneering innovative and contemporary software solutions tailored for the FinTech sector has been our core focus since our establishment in 2018.

📋 Description

• Partner closely with Product, Commercial, and Engineering teams to understand user behaviour • Evaluate and generate product hypotheses • Design and analyse experiments • Improve key business and product metrics • Build scalable analytics foundations including metrics, data marts, dashboards, and alerting • Analyse user behaviour and product journeys across web and mobile applications, including funnels, activation, engagement, retention, monetisation, and feature adoption • Identify drop-offs, behavioural patterns, friction points, and growth opportunities and translate them into actionable product hypotheses • Evaluate the impact of product launches and changes and explain what changed, why it changed, and for whom • Formulate and prioritise hypotheses and define measurable success criteria • Design and analyse A/B tests and other experiments, including primary metrics, guardrails, sample-size considerations, segmentation, and statistical interpretation • Translate experiment results into clear product decisions and next steps • Define and maintain product KPIs and metric trees with consistent definitions across teams • Develop dashboards and analytical views for Product teams • Build user and behavioural segmentations based on lifecycle stage, product usage, engagement, monetisation, and other characteristics • Analyse differences between user cohorts and segments • Formulate analytical and business requirements and participate in building product data marts and single-source-of-truth datasets • Partner with Engineering and Data Engineering on event tracking and instrumentation • Improve the product metrics system, including definitions, documentation, ownership, and consistency

🎯 Requirements

• 3+ years of experience in data analytics (fintech/product experience is a strong plus) • Strong SQL and Python skills and hands-on experience working with large datasets • Strong understanding of product analytics concepts: funnels, conversion, retention, cohorts, engagement, monetisation, and segmentation • Hands-on experience with A/B testing and experiment analysis, including statistical significance, confidence intervals, guardrail metrics, and common sources of bias • Experience with product analytics tooling and event-based tracking • Ability to communicate insights clearly and collaborate with cross-functional stakeholders • Advanced Russian and English • Nice-to-have: Experience building analytical data marts or working with dbt-style analytics engineering workflows • Nice-to-have: Experience owning event tracking across web and mobile applications • Nice-to-have: Understanding of marketing analytics, acquisition, and attribution • Technological stack includes Snowflake, ClickHouse, MySQL, BigQuery, Tableau, HEX, Amplitude, Python (pandas, numpy, scikit-learn), and Jupyter Notebook