Data Analyst (Payments)

About Eneba

At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.

About your team

Behind every groundbreaking product, there’s an awesome team! In Product, we gather folks with diverse backgrounds and expertise in areas such as product development, management, design, UX, analytics, and more. We move fast, experiment, learn a lot, and build new products for our growing base of 20+ million active users. At the same time, we continue to iterate and improve on our flagship product: Digital, a safe and affordable marketplace for gamers. Physical, where we enable users to turn their second-hand items into someone’s first-tier gaming experience. Or Payments & Risk, where we provide a smooth, secure, and reliable purchase experience.

As a Business Intelligence Analyst, you will be responsible for providing analytical insights and reporting to support decision-making within the company. You will work closely with the product teams and other departments to analyze payments-related data, manage complex data sources, automate data processes, and provide insights into business performance. This is a critical role in our organization, as the insights and recommendations you provide will inform key strategic decisions that drive our growth and success.

Responsibilities

• Lead data collection and integration projects within the payments domain.
• Develop and maintain performance reports for payments analytics.
• Monitor key performance indicators (KPIs) and provide insights into payment performance, transaction volumes, and other indicators.
• Identify opportunities to optimize payment processes and reduce operational costs, working with Payment Ops and Product teams to optimize payment routing and reduce payment failures.
• Collaborate with data analysts and engineers to ensure data accuracy, completeness, and consistency.
• Collaborate with other teams, such as Finance, Customer Support, and Product Development, to address payment-related challenges and opportunities.
• Perform ad-hoc analysis and research to answer specific business questions and support decision-making.

Requirements

• 1-3 years of experience in business analytics in finance, banking, consulting, accounting, or similar sectors. Exposure to payments data (PSP, acquiring, or risk systems) is a strong plus.
• Working knowledge of the payments stack is a strong plus.
• Advanced SQL, with an ambition to improve.
• Strong quantitative and analytical skills.
• Ability to identify and suggest improvements in the payments domain by analyzing transactional, business, and market data.
• Excellent written and verbal communication skills, with the ability to present complex information clearly and translate data findings into actionable recommendations, especially for non-technical stakeholders. Precise and well-structured when delivering analyses and reports.

Nice to have

• Ability to independently build structured dashboards (Databricks, Tableau, or similar BI tools).
• Experience building AI-powered refreshable/scheduled reports.

Salary ranges may vary. We're seeking candidates with varied experience levels; from individual contributors to functional leaders in this space.

We're an international team and our business language of choice is English. Good English level is required, proficiency is preferred.

To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice.

What it's like to work at Eneba

• Opportunity to join our Employee Stock Options program.
• Opportunity to help scale a unique product.
• Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
• Paid volunteering opportunities.
• Work location of your choice: office, remote, opportunity to work and travel.
• Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.