Top Tech Jobs & Startup Jobs

Partnering with engineering, design, and analytics teams to quantify business impact of frontend architecture changes. Own end-to-end analyses, design and evaluate A/B tests, define technical and behavioral metrics, and translate statistical results into clear, actionable recommendations to inform platform strategy.

Own partner performance for outsourced customer support vendors: monitor KPIs, run reviews, drive continuous improvement, coordinate action plans, oversee invoicing discrepancies, travel to partner sites, and lead cross-functional performance projects.

Lead financial analysis and forecasting for Customer Support Operations, reconcile forecasts with results, query data using SQL/Python/Looker, coordinate budgeting, identify cost savings and risks, and present insights to senior stakeholders while partnering cross-functionally.

Lead financial analysis, forecasting, budgeting and profitability work for Customer Support Operations. Query data (SQL, Python, Looker) to validate models, identify cost savings and risks, prepare reports and presentations, and communicate insights to senior stakeholders while collaborating cross-functionally.

Design, build, and maintain end-to-end marketing data pipelines in BigQuery/dbt/Airflow. Implement data quality checks, monitor production reliability, investigate incidents, and deliver documented decision-ready datasets for marketing reporting and optimisation. Partner with marketing analytics, modelling teams, and a wider analytics engineering guild to align definitions and drive self-serve adoption.

Design, build, and operate end-to-end marketing data pipelines in BigQuery and dbt. Implement data quality checks, monitor production reliability, translate marketing requirements into documented models and metrics, and enable self-serve analysis through documentation and collaboration with analytics and marketing teams.

Lead measurement and decision frameworks for Vinted Ads: define metrics, evaluation methodologies (incrementality, attribution, quasi-experiments), tradeoffs and guardrails, govern ads metric taxonomy, measure marketplace impact, and partner with analytics engineering and cross-functional teams to ensure data and measurement readiness.

Lead the Ads measurement and decision framework: define metrics, evaluation methodologies (incrementality, attribution, quasi-experiments), tradeoff frameworks balancing revenue and marketplace health, govern ad metric definitions, measure marketplace impact, partner with Analytics Engineering for data readiness, and align cross-functional stakeholders on measurement and decision-useful analytics.

Lead measurement and evaluation for Vinted Ads: build decision and tradeoff frameworks, define evaluation methodologies (incrementality, attribution, quasi-experiments), govern ad metrics, measure marketplace impact, partner with Analytics Engineering on data models, and align cross-functional stakeholders to ensure consistent, decision-useful measurement.

Lead Ads measurement and decision science for Vinted's Revenue domain. Define evaluation frameworks, tradeoffs, and guardrails for ad product, pricing, placement, and monetization. Own measurement methodology (incrementality, attribution, quasi-experiments), govern ad metric definitions, measure marketplace impact, and partner with Analytics Engineering and cross-functional teams to align data models and strategic decisions.