Senior Data to Analytics Specialist (Data Steward) (Wrocław, Poland, Dolnoslaskie)
About this opportunity
The position
Are you passionate about ensuring high-quality, trusted and well-governed data across an organization?
Join our Data to Analytics team as a Senior Data to Analytics Specialist (Data Steward). In this role, you will support data ingestion, validation, governance, quality monitoring and publication of enterprise data products. You will work closely with business and technical stakeholders to ensure that data assets are accurate, properly documented and fit for business use.
Tasks & Responsibilities
As a Senior Data to Analytics Specialist, you will be involved in:
Data Ingestion & Data Product Coordination
Coordinate and monitor data ingestion activities, maintain ingestion plans, and support onboarding of enterprise data products from source systems into the enterprise data platform. Support reporting of ingestion status and agreed KPIs.
Data Validation & User Acceptance Testing
Execute user acceptance testing (UAT), perform source-to-target data validation using SQL, investigate discrepancies, and ensure data delivered to the platform meets business requirements. Analyze data mappings, validate complex data structures and support reconciliation between source systems and curated data layers.
Data Governance & Metadata Management
Maintain metadata, business glossary objects, and governance documentation in Collibra while ensuring assigned data products comply with enterprise data governance standards. Support publication requests and maintenance of governance catalog information for enterprise data products.
Data Quality Monitoring & Improvement
Configure and maintain Data Quality monitoring for master and transactional data products. Monitor agreed Data Quality KPIs, support investigation and resolution of identified data issues, and contribute to continuous improvement of data quality processes. Maintain and document Data Quality rules and validation logic for assigned data products. Support Data Quality assessments and validation activities for new, changed and existing data products.
Stakeholder Collaboration & Operational Support
Collaborate with Data Owners, Data Product Teams, Business Experts and IT stakeholders to support data product lifecycle activities, resolve issues, and drive effective communication across functions. Contribute to documentation, knowledge sharing and operational excellence within the Data to Analytics organization.
About our future employee
You should be fluent in English (minimum B2 level) and have at least 4 years of professional experience in Data Governance, Data Stewardship, Data Quality, Master Data Management, Data Analytics, Business Intelligence, or a related field.
Additionally, we are looking for:
Must Have
University degree in Business Information Technology, Computer Science, Data Management, Business Analytics, Economics, Statistics, Mathematics or similar.
Strong practical SQL skills, including joins, data reconciliation and source-to-target validation.
Experience working with relational databases and complex data structures.
Experience in data validation, testing, data quality or data management activities.
Strong analytical and problem-solving skills.
Structured, proactive and self-organized working style.
Excellent communication and stakeholder management capabilities.
Nice to Have
Experience with Collibra or similar Data Governance platforms.
Experience with Snowflake or cloud-based data platforms.
Experience with SAP, MDG, FRED or other enterprise data environments.
Knowledge of master data domains such as Business Partner, Material or Product.
Experience with Data Quality monitoring and KPI tracking.
Knowledge of Jira and Agile methodologies (Scrum, Kanban).
Experience with Power BI or SAP Analytics Cloud (SAC).
At Boehringer Ingelheim, we are committed to fostering an inclusive workplace that values diversity in all its forms, including disability. Our accessible office environment and dedication to equal opportunities support every employee in reaching their full potential.
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 232 comparable Senior Data & Digital roles across 48 biopharma companies.
Salary context
69 of 232 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 232 comparable roles
+ 18 more countries
Seniority mix
232 of 232 peers have a known seniority level
Therapeutic area mix
8 of 232 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.