Analytics Solutions Lead: Data Product & Insights Architect

Boehringer Ingelheim GmbH; Wrocław; Hybrid; PLN 190,000 - 270,000; Full time

Job summary

Böehringer Ingelheim GmbH is seeking a Data to Analytics Expert to lead the design and delivery of enterprise analytics products, dashboards, and data pipelines across multiple domains.

You will collaborate with senior stakeholders to define roadmaps, ensure governance, and drive data architecture using SQL, DBT, Power BI, and cloud platforms. Mentoring and capability building are key aspects in a complex, international environment.

Qualifications

• University degree in Information Technology, Business Information Technology, Computer Science, Business Analytics, Economics, Mathematics, Statistics, or a related field.
• Minimum 6 years of professional experience in analytics, data engineering, business intelligence, or related areas.
• Strong expertise in SQL and data transformation concepts.
• Experience designing and optimizing complex data pipelines and analytical solutions.
• Experience with Power BI, SAP Analytics Cloud, or similar BI platforms.
• Experience translating business requirements into scalable analytics and reporting solutions.
• Strong understanding of data modelling and analytical data structures.
• Experience with data validation, testing, and quality assurance practices.
• Strong analytical capabilities and problem-solving competence for complex challenges.
• Excellent communication and stakeholder management skills.
• Agile, accountable, and proactive mindset with a solution- and result-oriented approach.
• Ability to independently drive topics from concept through implementation.

Responsibilities

• Lead the design, development, and optimization of enterprise-level analytics products, dashboards, and reporting solutions.
• Translate complex and strategic business requirements into scalable analytics solutions that support organizational objectives.
• Drive the adoption of best practices in dashboard development, analytics design, and business intelligence delivery.
• Identify opportunities for innovation, automation, and simplification across the analytics landscape.
• Define and drive the end-to-end lifecycle of analytics products and reporting solutions.
• Ensure solutions remain scalable, maintainable, and aligned with evolving business priorities.
• Lead strategic enhancement initiatives and continuous improvement efforts across existing analytics products.
• Support the onboarding, transition, and integration of new analytics services into the Data to Analytics organization.
• Lead the design, development, and optimization of highly scalable and complex data pipelines using SQL, DBT, and modern data platforms.
• Define technical approaches for data ingestion, transformation, integration, and storage.
• Ensure analytics solutions are built on robust, efficient, and future-ready data foundations.
• Drive technical excellence in data engineering, automation, and pipeline design.
• Design and govern scalable enterprise data models supporting analytics and reporting use cases.
• Translate ambiguous and high-level business requirements into efficient and sustainable data structures.
• Promote reuse, harmonization, and standardization of data assets across business domains.
• Ensure consistency, scalability, and long-term maintainability of analytical data models.
• Establish and maintain validation frameworks, testing strategies, and quality standards for analytics products and data pipelines.
• Ensure data accuracy, consistency, completeness, and reliability across reporting and analytical solutions.
• Lead root-cause analysis and resolution of complex data and reporting issues.
• Define quality assurance standards and best practices across the Data to Analytics organization.
• Partner with senior business stakeholders, product owners, and leadership teams to shape analytics roadmaps and priorities.
• Facilitate strategic discussions and translate business challenges into actionable data and analytics solutions.
• Build strong relationships across business functions and ensure analytics products deliver measurable business value.
• Act as a trusted advisor on analytics, reporting, and data-related topics.
• Lead initiatives that strengthen data governance, reporting standards, documentation quality, and operational excellence.
• Establish enterprise-level standards for analytics development, documentation, testing, and support processes.
• Ensure compliance with corporate policies, security requirements, and data management principles.
• Drive continuous improvement of governance and delivery frameworks.
• Mentor analysts, dashboard developers, and data professionals within the Data to Analytics organization.
• Support knowledge sharing and capability development across the team.
• Promote modern analytics practices and foster a culture of continuous learning.
• Contribute to the long-term growth and maturity of the Data to Analytics function.

Skills

SQL

Data transformation

Power BI

SAP Analytics Cloud

Data modelling

Data validation

Agile methodologies

Stakeholder management

Leadership

Analytics

Education

University degree in IT/CS related field

Tools

dbt

Snowflake

Jira

Job description

Böehringer Ingelheim GmbH is seeking a Data to Analytics Expert to lead the design and delivery of enterprise analytics products, dashboards, and data pipelines across multiple domains.

You will collaborate with senior stakeholders to define roadmaps, ensure governance, and drive data architecture using SQL, DBT, Power BI, and cloud platforms. Mentoring and capability building are key aspects in a complex, international environment.