Data Analyst (m/f/d)

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.

• Proven ability to work with large datasets, including advanced SQL skills, query optimization, and reporting process automation (including VBA).
• Experience with Business Intelligence tools, especially Power BI (Power Query, DAX).
• Basic programming knowledge in Python (including PySpark).
• Strong working knowledge of Databricks or similar platforms.
• Highly developed analytical thinking and problem‑solving mindset.
• Ability to translate data into actionable insights and business‑oriented recommendations.
• Skill in creating clear, logical, user‑friendly, and visually appealing data visualizations and reports.
• Solid understanding of statistics and mathematics at a practical level.

​​​​​​Why Join InPost?

• The option to work from the office or 100% remotely
• Opportunity to work in a diverse, international and cross-functional environment, along with leading experts. 
• Fulfilling careers with a range of benefits for employees and invests in providing training opportunities for their development. 
• Involvement in technology monitoring and choices 
• Your impact will be visible instantly and you will be making a difference in our users lives