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Data Analyst (m/f/d)

Posted April 28, 2026
Full-time Mid-Senior Level

Job Overview

In this role, you will be responsible for delivering high‑quality data, insights, and analytics that empower managers to make accurate, data‑driven product, campaign, and operational decisions. You will help optimize processes—such as merchant onboarding and servicing within the Pay product—by identifying trends, anomalies, and risks to support more effective (cost‑ and time‑efficient, and occasionally PR‑sensitive) management of the area.

Key Responsibilities

  1. Power BI Reporting & Dashboard Management
    Prepare, develop, and maintain Power BI reports (transactional and operational dashboards) to support effective decision‑making in product development, deployments, and marketing activities.

  2. End‑to‑End Analytical Support
    Conduct comprehensive analyses, interpret complex datasets, and present clear, concise conclusions and recommendations to internal and external stakeholders.

  3. Trend & Anomaly Detection
    Identify trends, patterns, deviations, and anomalies (e.g., campaign performance, transaction result outliers) and communicate findings to relevant teams for managerial action.

  4. Data & Dashboard Optimization Activities
    Participate in projects aimed at refining the maintenance, aggregation, and structuring of dashboards to improve efficiency and workspace organization within the Pay team.

  5. Analytical Contribution to Business Cases
    Support the development of business cases—including those requiring large or multi‑source datasets—for budgeting, financial planning, and strategic initiatives.

  6. Business Analysis for Non‑Reported Areas
    Perform business analyses for sales, product, growth, payments, or operational topics where no ongoing reporting exists or where data retrieval requires advanced database querying.

  7. Coordination Between Data & Business Teams
    Facilitate collaboration between Data and Business teams to streamline planning processes, enhance Data team understanding of business needs, and accelerate implementation timelines.

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