Data Analyst

ipayBTC

Software & Data

iPayBTC is building Africa’s leading Bitcoin super app, making it easy for people and businesses to use Bitcoin in their daily lives. , we are on a mission to Bitcoinize Africa.

We are looking for a Data Analyst to join our growing team. This role is critical for turning data into insights that will guide business strategy, support marketing and growth initiatives, and ensure financial accuracy as we scale.

Role Overview

The Data Analyst will be responsible for collecting, analyzing, and interpreting data across all iPayBTC products — including On-chain, Lightning, P2P Marketplace, and Value-Added Services (VAS). You will create dashboards, support financial reconciliation, and provide actionable insights to drive growth, optimize marketing campaigns, and improve user retention.

Key Responsibilities

• Data Management & Reporting

Design, build, and maintain real-time dashboards (transactions, revenue, users, wallets).

Deliver weekly and monthly KPI reports for leadership, marketing, and growth teams.

Ensure accuracy and consistency of all data sources.

• Growth & Marketing Insights

Work closely with Marketing & Growth teams to measure acquisition channels, campaign performance, and referral activity.

Analyze customer journeys: activation, retention, churn, and lifetime value (LTV).

Provide insights on conversion funnels and recommend optimizations.

Segment users (high-value, frequent, dormant) to enable targeted growth campaigns.

• Financial & Operational Support

Assist the Finance/Accounting team with reconciliation of user funds, reserves, and prepaid deposits.

Track unit economics (CAC, LTV, revenue per transaction).

Detect anomalies, fraud risks, or inefficiencies in the system.

• Strategic Support

Translate complex data into clear, actionable insights for leadership.

Contribute to data-driven decision-making across Marketing, Growth, and Product teams.

Requirements

Proven experience as a Data Analyst (fintech/crypto experience is a plus).

Strong skills in SQL, Excel/Google Sheets, and Python or R.

Understanding of financial data structures and marketing analytics.

Ability to work cross-functionally with Finance, Marketing, and Growth teams.

Strong communication skills to present insights clearly.

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