Enterprise Analytics Architect & Data Pipeline Lead

Boehringer Ingelheim

Wrocław

Hybrid

PLN 180,000 - 300,000

Full time

3 days ago
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Job summary

Boehringer Ingelheim Business Services Poland is seeking a Data to Analytics Expert to transform data into enterprise analytics solutions. You will lead analytics product ownership, design scalable data pipelines, and engage with senior stakeholders to deliver measurable business value.

You will work on governance, data models, and validation while mentoring analysts and dashboard developers. The role is hybrid and requires strong English skills and a track record in analytics across domains.

Qualifications

  • 6+ years of experience in analytics, BI, data engineering, or related areas.
  • Fluent English, ability to operate in international environments.
  • Strong SQL and data transformation expertise.
  • Experience designing and optimizing analytics and reporting solutions.
  • Knowledge of BI platforms (Power BI, SAC) and data modeling.

Responsibilities

  • Lead design, development, and optimization of analytics products and dashboards.
  • Translate business requirements into scalable analytics solutions.
  • Own end-to-end lifecycle of analytics products and reporting solutions.
  • Define data ingestion, transformation, and storage approaches.
  • Drive data governance standards and quality assurance.

Skills

SQL
Power BI
Data architecture
Stakeholder mgmt
Data governance
Mentoring
Agile
Communication

Education

University degree in Information Technology or related field

Tools

dbt
Snowflake
SAP Analytics Cloud
Jira

Job description

Boehringer Ingelheim Business Services Poland is seeking a Data to Analytics Expert to transform data into enterprise analytics solutions. You will lead analytics product ownership, design scalable data pipelines, and engage with senior stakeholders to deliver measurable business value.

You will work on governance, data models, and validation while mentoring analysts and dashboard developers. The role is hybrid and requires strong English skills and a track record in analytics across domains.

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