Data Analysis Specialist - ETL Senior - Híbrido en AstraZeneca

The role holder will complete the following accountabilities either autonomously for simple data analysis challenges or under the supervision of more senior data analysts for more complex data challenges: 

• For simpler analysis challenges, works with consumers / business users on the definition of the data requirements for intended data solutions.   Able to translate unstructured business problems into a data design and solution.
• Profiling of data to understand provenance, quality, metadata models, ownership and compliance to internal and external regulatory standards.
• Ad hoc wrangling of data (sourcing, extraction, profiling, integration) to support Data Science model generation and business insight.
• Support of data engineers in the development of Source to Target pipelines (e.g. ETL design).
• Solid understating  and hands on cloud technologies like AWS, Azure for data processing.
• Processing of requests for compliant access to data.
• Defining and managing information lifecycle management in data solutions.
• Provision of data understanding (structure, provenance, quality) to Architects, Data Engineers and Data Scientists to support use in Analytics projects.
• Supports IT and business data teams in identifying and managing Critical Data Assets and Elements including Reference, Master and Metadata.
• Collaborates with Risk, Assurance, Privacy, Information Security and Regulatory authorities to ensure data and information controls are in place and adhered to.
• Clearly and objectively communicate insights and results, as well as their associated uncertainties and limitations.
• Personal development and training in more complex data analysis skills, techniques and tooling.
• Will be developing domain data expertise (data standards, systems, metadata models, policies, business processes) in 1 area (e.g. chemistry, finance).

1. 3 key specialisms include:

• Source Data Analysts : Support engineers build/configure source applications by defining the data requirements and modeling the appropriate data structures for given use cases.  They define data quality criteria to ensure data quality integrity of the application, develop logical data models (compliant to any RMDM standards), ensure that the project deliverable aligns with the logical design and business requirements (requirements traceability).
• Integration Data Analyst : Support engineers build composite analytics applications by defining data requirements, data structures and data integration paths.  They will identify, profile and quality assess potential source data sets, understand and comply with any data restrictions (e.g. GDPR, License, IDAP controls, etc), develop integration patterns (ETL design), support the design of target data models (compliant to any MDM standards) and document to support re-use and management of the application.  
• Data Steward : defining and managing data governance policies, standard and operating processes;  the facilitation and operation of data and information governance activities; data quality issue management; the establishment and operation of governance controls including data access, lifecycle and metadata management; risk based approach to remediation and mitigation planning.

 

1. Skills required:

• The role holder will possess a blend of data requirement analysis, data quality analysis, data stewardship skills.
• Experience in translating requirements into fit for purpose data models, data processing designs and data profile reports.
• Experience in the use of data modeling technologies.
• Experience in Agile data definition scrum Experience in the use of metadata cataloguing tools.
• Knowledge of key AZ policies and standards for data covering areas such as privacy and security.
• Hands on SQL and any other coding knowledge.
• Awareness of the end-to-end processes and activities in the build and support of Data solutions.
• Hands on Cloud technologies like Azure or AWS to handle cloud-based data solutions.

Why AstraZeneca?

At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognising their potential. Join us on our journey of building a new kind of organisation to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting edge methods and bringing unexpected teams together.

So, what’s next!

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