Data Analyst (mfd)

InPost

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profile Job Location:

Warszawa - Poland

profile Monthly Salary: Not Disclosed
Posted on: 5 hours ago
Vacancies: 1 Vacancy

Job Summary

In this role you will be responsible for delivering highquality data insights and analytics that empower managers to make accurate datadriven product campaign and operational decisions. You will help optimize processessuch as merchant onboarding and servicing within the Pay productby identifying trends anomalies and risks to support more effective (cost and timeefficient and occasionally PRsensitive) 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 decisionmaking in product development deployments and marketing activities.

  2. EndtoEnd 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 casesincluding those requiring large or multisource datasetsfor budgeting financial planning and strategic initiatives.

  6. Business Analysis for NonReported 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.


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 problemsolving mindset.
  • Ability to translate data into actionable insights and businessoriented recommendations.
  • Skill in creating clear logical userfriendly and visually appealing data visualizations and reports.
  • Solid understanding of statistics and mathematics at a practical level.

Additional Information :

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

Remote Work :

Yes


Employment Type :

Full-time

In this role you will be responsible for delivering highquality data insights and analytics that empower managers to make accurate datadriven product campaign and operational decisions. You will help optimize processessuch as merchant onboarding and servicing within the Pay productby identifying tre...
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Key Skills

  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Data Visualization
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics

About Company

Company Logo

InPost S.A. – a company listed on Euronext Amsterdam - is the leading out-of-home e-commerce enablement platform in Europe. InPost Group operates across key geographies: Poland, the UK, Italy and the Iberian Peninsula, as well as France and Benelux, through its subsidiary, Mondial Rel ... View more

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