Master & Reference Data Business Analyst

Warsaw, Poland

Be empowered to be innovative and creative where difference is valued

Would you like to be a part of a Data Science & Artificial Intelligence (DS&AI) group who has direct strategic impact on drug development, playing a key role in getting medicines to patients?  

At AstraZeneca, we are constantly pushing the boundaries of science to deliver life-changing medicines to patients, with a real passion for discovery and a pipeline to show for it.

Here, you’ll have the opportunity to make a difference in people’s lives every single day. 

AstraZeneca is investing in data management and analysis capabilities, through its long-term Growth Through Innovation Strategy.  The DS&AI team collaborates across R&D to drive innovation through data science and AI. Together we seek to:

• Improve our understanding of disease and uncovering new targets 

• Transform R&D processes 

• Speed the design and delivery of new medicines for patients  

This is the place that’s investing in the latest technology, data and innovative ways of working.

Here you’ll be backed with everything you need to be at the forefront of digitising our organisation. Whether that’s working on the leading-edge, defining the future of Pharma or upskilling yourself in our Digital and Data Academy.

The R&D Data Office, within DS&AI, is a key organization to deliver upon AstraZeneca’s strategy.

Data Office operates a central capability, with R&D wide accountability, to ensure that we harness the power of data to drive innovative science.

Data Office will govern data, drive data quality and ensure our data is readied for analytics, creating paved-paths for scientists to perform data-driven research, without compromising our legal restrictions or ethical principles. 

Within Data Office, you will work in the Reference and Master Data team. The team owns the development, deployment and subsequent oversight of the end-to-end process of ingesting, curating and provisioning quality Reference and Master Data.

Our mission is to support R&D users with highest quality of Reference and Master Data within the rigor of the appropriate compliance framework.

Typical Accountabilities

Master and Reference Data Mgmt. Strategy and Operations

• Define and prioritise business requirements relating to Reference and Master Data capabilities using BA best-practice techniques. Manage/facilitate Reference/Master Data initiatives by working closely within and across the relevant workgroups. Provide related expertise to support internal partners with shaping their projects. Skill: Business requirements elicitation and analysis

• Ensure the vertical traceability of requirements from top-level objectives down to executable iterations for new data content, new or enhanced processes, or new solution features. Provide strategic support to the leadership: formulating, aligning and implementing an MDM vision, roadmap. Skill: Business requirements mapping and analysis

• Model business process of as-is and to-be states that enable efficient, scalable and sustainable reference and master data governance routines to be developed and embedded in AZ R&D. Own, support, lead the development and instigate continuous improvement of Reference/Master Data Management processes across ontologies. Skill: BPMN notation, process mapping and process analysis

• Apply business acumen, collaboration skills along with the subject matter expertise to effectively broker resolutions of ambitious priorities across critical data domains/critical data elements.

• Develop Reference Data curation guidelines and continuously improve them; curate Reference Data and provide consultancy and guidance on Reference Data management and curation.

• Ensure effective collaboration with SMEs and Information Architects to support the development of conceptual models, business glossaries and ontologies.

• Collaborate with business partners and influence discussions to contribute to the design and implementation of data standards and quality management framework as well as the relevant metrics.

Essential

• Bachelor’s degree in business, data or technology subject area – or equivalent number of years of experience.

• Solid experience in collaborating with strategic business partners, leading virtual teams and brokering alignment between parties of disparate priorities.

• Team player with the ability to influence peers to modify behaviours and provide support for the adoption of related data governance policies and standards

• Proven transformation management, interpersonal, assertiveness and negotiation skills

• Demonstrable experience within master and reference data disciplines and domains

• Clear understanding on conceptual, logical and physical data models development standard methodologies

• Experience of Business/IT partnering for the implementation of Master Data related solutions

• Knowledge and experience with regulated and/or legal environment and requirements (e.g., GxP, data privacy and security)

• Awareness of the security, privacy, ethics and quality requirements for critical data entities

• Demonstrate excellent written and oral communication skills

Desirable

• Master degree in Business Administration, Information/Data Science, Informatics, computer science, economics or related field.

• BA qualification from either the IIBA or BCS

• Experience in life sciences and healthcare.

• Network of relevant contacts and relationships, including external links

• Data Governance and Data Management education and certifications

• Applied data management and data science skills, including experience with related tools.

• Experience in data ownership or stewardship

• Consistent track record of publishing relevant data governance and policy topics in peer-reviewed journals, conferences, and other scientific proceedings.

• Working knowledge on of the leading data modelling tools

• Solid understanding of one of the industry best available MDM solutions – Reltio (ideal),  Informatica, SAP, Oracle etc.

• Strong consulting skills

Why we love it

If your passion is science and you want to be part of a team that makes a bigger impact on patients’ lives, then there’s no better place to be. Here we truly understand science and apply it every day to strengthen and grow our pipeline.

So, what’s next?

• Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.

• Are you ready to bring new ideas and fresh thinking to the table? Brilliant! We have one seat available and we hope it’s yours.

• We open this role from 22/07/2021 and welcome with your application no later than 22/07/2021

Where can I find out more?

Our Social Media, Follow AstraZeneca on LinkedIn https://www.linkedin.com/company/1603/

Follow AstraZeneca on Facebook https://www.facebook.com/astrazenecacareers/

Follow AstraZeneca on Instagram https://www.instagram.com/astrazeneca_careers/?hl=en

#DataAI

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.