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Analytics Engineer (m/f/d)
InPost Group
- Poland, Ohio, United States
- Poland, Ohio, United States
Über
Job Description 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 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.
End‑to‑End Analytical Support Conduct comprehensive analyses, interpret complex datasets, and present clear, concise conclusions and recommendations to internal and external stakeholders.
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.
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.
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.
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.
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.
Qualifications
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 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
We offer B2B type of contract
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Sprachkenntnisse
- English
Hinweis für Nutzer
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