Senior Product Analyst — A/B Platform

We're looking for a Product Analyst to own metrics, experimentation, and data quality for SMP and SMD. You'll be at the center of how the team makes decisions — building the dashboards people check daily, running the A/B tests that validate product hypotheses, and increasingly, using AI agents to move faster without sacrificing rigor. This is a hands-on analytics role for someone who already treats tools like Claude Code, Cursor, or ChatGPT as part of their daily workflow, not a novelty

We are actively integrating AI and automation into all areas of the business and expect candidates with a mindset focused on improving efficiency and delivering a better experience.

• Own and track key metrics for SMP and SMD products: dashboards and regular reporting
• Launch and analyze experiments and A/B tests: validate hypotheses, run the test, deliver conclusions
• Use AI agents (Claude Code or similar) for day-to-day analytics work and verify their output before it goes to stakeholders
• Turn recurring analyses into reusable AI skills and automated pipelines
• Ensure data accuracy, consistency, and completeness across sources
• Identify trends, anomalies, and insights to guide decision-making
• Document metric definitions, data sources, and known data issues so both people and AI tools can rely on them

• Daily use of AI coding/analytics tools (Claude Code, Cursor, ChatGPT or similar) in real work, not as an experiment
• Strong SQL: enough to review and fix generated queries quickly
• Python for data cleaning and analysis
• Strong understanding of A/B testing methodologies
• Solid math and statistics for modeling and hypothesis testing
• Experience with data visualization tools (e.g., Redash, Metabase, Tableau)
• Ability to write clear task descriptions and documentation
• Collaboration and problem-solving skills
• Upper-intermediate English level

Our team is developing a payment gateway for accepting funds from users on behalf of merchants, as well as sending funds from merchants to users. The system involves storing user payment data and is subject to PCI DSS compliance. It contains multiple integrations with payment systems, providers, and other gateways and processors, including 3DS.

We're looking for a Payments Data Analyst to join our Product team and transform payment and product data into actionable insights that improve merchant success, platform performance, and business decisions.

As a Payments Data Analyst, you will be a strategic partner to the Product, Merchant Solutions, Processor Integrations, and ML teams, helping drive data-informed decisions across our payment platform.
You will analyze payment performance, identify trends and optimization opportunities, evaluate the impact of product initiatives, and provide recommendations that improve approval rates, payment efficiency, and merchant experience.

Job Responsibilities:

• Monitor, analyze, and optimize payment performance across merchants, processors, payment methods, and markets.

• Analyze approval rates, decline patterns, payment routing performance, retry and cascading effectiveness, 3DS performance, and transaction success.

• Perform deep-dive analyses to identify trends, anomalies, and optimization opportunities across processors, card schemes, BINs, countries, merchants, and payment methods.

• Measure the impact of new product features, processor integrations, routing changes, payment optimization initiatives, and A/B experiments.

• Build and maintain dashboards and reports that provide actionable insights for Product, Merchant Solutions, Executive, and other business teams.

• Define, monitor, and improve key product and payment KPIs.

• Investigate merchant and processor performance to identify root causes and recommend improvements.

• Collaborate with Product Managers to support product discovery, feature prioritization, and success measurement.

• Work closely with Solution Engineers, Integration Analysts, and the ML Specialist to improve payment performance and operational efficiency.

• Support continuous monitoring of payment performance by identifying anomalies, emerging trends, and opportunities for optimization.

• Present analytical findings and recommendations in a clear, business-oriented manner to technical and non-technical stakeholders.

You’ll thrive here if you have

• 4+ years of experience as a Data Analyst, Product Analyst, Payments Analyst, or in a similar analytical role.

• Advanced SQL skills, including complex queries and window functions.

• Experience with BI tools such as Metabase, Tableau, Power BI, Looker, or similar.

• Experience with Python (Pandas, Jupyter Notebook) for data analysis.

• Strong analytical thinking and problem-solving skills.

• Experience working with large datasets.

• Ability to translate complex data into clear business recommendations.

Nice to Have

• Experience in FinTech, Payments, SaaS, or E-commerce.

• Understanding of payment processing, payment orchestration, or PSP integrations.

• Knowledge of payment routing, retries, cascading, and 3DS authentication.

• Familiarity with payment KPIs such as approval rate, conversion rate, authorization rate, and decline analysis.

• Understanding of fraud-related metrics, chargebacks, RDR, and risk signals.

• Experience working with product analytics, experimentation, and feature adoption metrics.

• Basic understanding of Machine Learning concepts.

Conditions

We know that great talent deserves great conditions, so here’s what you can expect when joining us:

• Full remote work.

• Competitive compensation with a service contract.

• Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.

• An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most.

• Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage.

• Career growth in a fast-scaling project with opportunities to influence technical decisions.

• A culture of recognition: our peer reward program celebrates contributions from across the team.

This opportunity is also available for those who already live in Limassol, Cyprus.

• EU-based employment contract and a 3-year Cyprus work visa.

• Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.

• 50% coverage of school and kindergarten fees for your children.

• Fully covered sports benefits, and also access to in-house electric scooters and bike rentals.

• A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.

• Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.

Benefits are provided in accordance with the company’s policies and eligibility criteria.

Recruitment process

• HR interview (40 min);

• Technical interview (1 hour);

• Final interview (1 hour);

• Recommendations check;

• Job Offer.

About the role

Responsibilities

• Own the forecast as a decision-making product: track plan vs actual, decompose variances into business drivers (seasonality, pricing, incentives, marketing, external events), and explain in business terms why the numbers changed
• Support company planning cycles: provide forecast baselines for target setting and budgeting, and align assumptions with finance and business stakeholders
• Build and run scenario ("what-if") analysis for planned interventions: pricing changes, incentive and marketing spend, product launches, market expansion
• Maintain the dependency logic connecting supply, demand and financial metrics, so that forecasts stay mutually consistent and aggregate correctly across markets
• Translate ambiguous business questions into measurable forecasting problems; communicate assumptions, uncertainty and limitations clearly to both business and technical audiences

• Run and monitor recurring daily and monthly forecasts: data completeness, sanity checks, run-over-run drift
• Investigate anomalies end to end — from inputs and business transformations to forecast outputs — getting to the business reason, not just a technical fix
• Improve models pragmatically: baselines, honest validation, and model choices driven by measurable planning value rather than sophistication.
• Keep the solution maintainable: readable Python, documentation, versioned changes

Qualifications

• 4+ years in analytics, forecasting or planning roles — for example marketplace or product analytics, demand planning, or decision science
• Strong understanding of how a business is planned: plan/fact cycles, target setting, driver-based models, unit economics. You see business metrics as a connected system, not as isolated time series
• Practical command of time-series forecasting — seasonality, holidays, external regressors, structural breaks, missing data — enough to own and improve production models
• Confident Python (pandas ecosystem): able to maintain and extend an existing production codebase
• Advanced SQL and experience with large datasets in a cloud data warehouse
• Rigorous validation habits: appropriate baselines, no data leakage, error metrics tied to business impact
• Ownership mindset: comfortable investigating issues across data, model, and integration boundaries
• Professional working proficiency in English and the ability to defend a number in front of senior stakeholders

• Background in mobility, marketplaces or other supply-and-demand systems
• Experience supporting financial planning, S&OP or budgeting processes
• Econometrics and causal inference; marketing-response models (adstock, saturation, investment payback)
• Hierarchical forecasting across multiple markets
• Experience owning or supporting production batch pipelines; BigQuery, Git-based workflows, CI/CD

Benefits

• Help us challenge injustice by creating fair choices for millions of people across 47 countries.
• Develop your professional skills with access to mentoring, career consulting, and learning programs.
• Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
• Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
• Work alongside people who take initiative, speak openly, and challenge themselves to grow.
• Improve your language skills through co-financed courses and internal speaking clubs.