InPost

Product Analytics Lead (m/f/d)

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SeniorHybryda·WarszawaFull-time

#368932·Dodano 5 miesięcy temu·6

Źródło: InPost

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Tech Stack / Keywords

SQL Spark Databricks PythonArchitectureApacheCloudGCP

Firma i stanowisko

InPost is a leading e-commerce enablement platform in Europe, operating a network of nearly 60,000 Automated Parcel Machines and 35,000 pick-up drop-off points across nine countries. Founded in 1999, InPost provides delivery and fulfilment services to e-commerce merchants, offering flexible and contactless delivery options.

Wymagania

Strong hands-on experience with SQL and large-scale data processing (Spark, Databricks, or equivalent).
Proficiency in Python for data engineering and analytical workflows.
Experience designing and building data pipelines and data models (Medallion / Lakehouse architecture preferred).
Familiarity with data governance frameworks, data catalogues (e.g., Atlan, Apache Atlas), and data quality tooling.
Experience working with cloud-based data platforms (GCP, Azure, or AWS).
Strong communication skills to translate between technical and business language.
Agile mindset comfortable with iterative delivery, sprint planning, and stakeholder management.
Experience with BI/visualisation tools (e.g., Power BI, Looker, Tableau) is a plus.
Background in fintech, payments, or e-commerce is a plus.
Experience mentoring junior analysts or engineers is a plus.

Obowiązki

Data Product Development:

Own end-to-end delivery of data products including requirements gathering, data analysis, solution architecture, implementation, visualization coordination, quality monitoring, and documentation.

Data Layer & Architecture Development:

Build and evolve the data layer to support deep product analytics and maintain high-quality documentation and business definitions.

Data Governance:

Drive data governance by documenting reports and business definitions, identifying data owners, supporting data certification, implementing quality metrics, and improving data accuracy.

Complex Data Analysis:

Conduct comprehensive analyses using statistical methods and large-scale data processing to deliver actionable insights.

Agile Ways of Working:

Take ownership of tasks, provide delivery estimates, and communicate progress and blockers to ensure timely delivery.

Innovation & Continuous Learning:

Stay updated on data processing and governance developments, evaluate new tools, and share knowledge internally.

Mentoring & Team Development:

Provide advisory support, conduct mentoring sessions, and develop analytical competencies within the team.

Benefity

Work at the intersection of fintech and e-commerce on a fast-growing digital product.
Real ownership of data products influencing strategic decisions.
Opportunity to work in a diverse, international, and cross-functional environment.
Space to experiment with new technologies including AI tooling.
Investment in career development, training, and growth.
Visible impact on millions of users of InPost Pay.
B2B type of cooperation offered.

InPost

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