Аналитик маркетинговых акций

About Tavily
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed.

About the Role
We're looking for a Senior Product Analyst to drive product decisions with data. You'll research how developers and companies discover, adopt and get value from Tavily and find the drivers behind them. You'll work as a thought partner to Product, R&D and leadership and shape what we build next and why.

This is a senior, high-ownership role. You take a question from start to finish: you frame the problem, build the data you need, run the analysis or model, and come back with a clear recommendation.
You are expected to understand the need and show people results they didn't even knew they wanted or needed and be an integrational part in decision making. You'll work closely with the analysts on the team and with Product, Engineering, Growth and GTM.

What You'll Do
• Own product analytics end-to-end: define, instrument and measure the product funnel, from first API call through activation, feature adoption, retention and conversion to paid.
• Drive product decisions: work with PMs and R&D leads to set success metrics, size opportunities, prioritize the roadmap, and measure the impact of what we ship.
• Uncover the drivers behind top-level KPIs: which behaviors, use cases, endpoints and product experiences predict activation, retention and expansion.
• Design, run and evaluate experiments (A/B tests, onboarding flows, pricing and packaging changes) and apply advanced statistical models when needed.
• Build the data you need: model raw product, usage and billing data into trusted, reusable datasets with SQL, dbt and Python and more.
• Apply predictive and statistical modeling (segmentation, propensity, forecasting, classification and clustering) where it sharpens product decisions.
• Proactively monitor key product metrics, investigate trends and anomalies, and surface insights stakeholders can act on.
• Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams.

What We're Looking For
• 5+ years of experience as a Product Analyst, Data Analyst or Data Scientist, including at least 2 years in a product-facing role.
• 2+ years in a SaaS or tech product company, with deep understanding of funnels, cohorts, engagement, retention and monetization.
• A proven record of driving product decisions through data: you've shaped roadmaps, launches or strategy, not just reported on them.
• Comfort working with large, messy, event-level datasets.
• Strong hands-on experience using Python for data analysis, experimentation and data modeling in a production environment.
• Strong statistical foundations.
• Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership.
• Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation.
• Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau).
• BSc in Statistics / Math / CS / Industrial Engineering or equivalent.

Nice to Have
• Experience at an API-first, developer-focused or PLG company.
• Hands-on experience building and deploying ML models.
• Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work.
• Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications.
• MSc in Statistics / Math / CS or equivalent.

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.