Data Analyst (Finance)

Wallet in Telegram is a digital asset solution natively embedded into Telegram’s interface. Backed by The Open Platform, Wallet in Telegram gained 100M+ user accounts in 2024, and aims to make its solution available to all 1BN+ of Telegram’s users. Wallet in Telegram offers a dual-wallet experience with Crypto Wallet (a multi-chain wallet for trading and sending crypto to contacts) and TON Wallet (a self-custodial wallet with access to the TON ecosystem of dApps and tokens).

Financial analytics is being established as a dedicated function within the Finance team, with full ownership over financial metrics, reporting, and forecasting. While existing infrastructure (ClickHouse, dashboards, Data Engineering support) is already in place, the role requires auditing current setups, closing gaps, and building a robust financial analytics layer.

The position involves balancing strategic initiatives with ad-hoc requests, as well as ensuring data consistency across multiple sources to support accurate business decision-making.

Responsibilities:

Financial Analytics & Reporting

• Design and own the company's financial metrics system — revenue, margin, cost drivers, unit economics, P&L breakdowns by product, region, and business unit

• Build, maintain, and iterate on financial dashboards in Superset and Grafana

• Develop and automate recurring financial reports; reduce manual work in Finance workflows

• Monitor data quality and consistency across financial datasets; proactively flag anomalies

Analysis & Strategic Support

• Conduct regular and ad-hoc financial analyses to support budgeting, forecasting, and planning cycles

• Analyze revenue trends, cost dynamics, and profitability to surface actionable insights for Finance leadership and business teams

• Formulate and test financial hypotheses; participate in identifying efficiency and optimization opportunities

• Present findings clearly to both technical and non-technical stakeholders, including CFO-level

Data Infrastructure & Collaboration

• Work closely with Data Engineers on the design of financial data marts and data sources in ClickHouse

• Contribute to dbt models where relevant; ensure financial logic is documented, versioned, and reproducible

• Act as the bridge between Finance and Data -  translating business logic into data requirements and vice versa

Requirements:

• 3+ years as a Data Analyst or Financial Analyst in a data-driven environment

• Expert SQL - complex joins, window functions, aggregates, query optimization; ClickHouse experience is a strong plus

• Hands-on experience with BI tools - Superset, Grafana, or equivalent (Tableau, Looker, Power BI); ability to build and own dashboards end-to-end

• Deep understanding of financial metrics: P&L structure, revenue recognition, margin analysis, unit economics (CAC/LTV, payback period), ROI

• Experience working with financial or operational data at scale - you know how to handle messy, high-volume datasets

• Strong data visualization and communication skills -  you can make a complex financial story legible to a non-analyst audience

• Ability to work independently with unstructured requests: scope the problem, prioritize, deliver

Strong Plus

• Python for data analysis, automation, or financial modeling (pandas, numpy)

• Experience with dbt for data transformation and documentation

• Background in financial modeling - scenario analysis, forecasting models, sensitivity analysis

• Experience taking ownership of an analytics domain - inheriting existing work, improving it, and building systematic coverage where gaps exist

• Experience working with transaction-heavy systems (fintech, crypto, payments) - understanding how money and value flows through systems is a strong advantage

Why it is a fantastic opportunity:

• Our business is growing at an exponential scale.

• Non-bureaucratic management that focuses on results.

• Regular performance reviews to assess your progress.

• Remote setup with access to our hubs in Dubai, Yerevan, London and Belgrade.

• Compensation for medical expenses.

• Provision of necessary equipment.

• 20 working days of paid vacation annually.

• 11 days off per year.

• 14 days of paid sick leave to support your health and recovery when needed.

• Access to internal conferences, English courses and corporate events.