Senior Data Analyst

Job Title: Senior Data Analyst

Career Level – D3

Introduction to Role:
We are seeking a highly skilled and motivated Senior Data Analyst to join our GBS Analytics team. This role is pivotal in leveraging data to provide actionable insights, support decision-making processes, and drive business growth. You will be designing, developing, implementing, and maintaining comprehensive data models and analytical solutions to empower stakeholders with valuable insights. Feel rewarded and appreciated for your commitment in our science and research driven business.

Accountabilities:
As a Senior Data Analyst, you will collaborate with cross-functional teams to gather requirements and translate business needs into technical specifications. You will design and develop logical and physical OLAP data models (Power BI Data Sets) to support our analytics platform, adhering to dimensional modelling standard methodologies. You will also implement physical data models in Power BI, including defining relationships between tables, setting data types, and handling data integrity constraints. Utilizing Power BI to create interactive reports and dashboards that provide actionable insights and support business decisions is also a key part of this role. 

Essential Skills/Experience:
– Bachelor’s degree in computer science, Information Systems, Statistics, or a related field.
– Demonstrated ability in data analysis, with a strong focus on OLAP data model design and implementation.
– Proven experience as a Data Analyst or Business Data Analyst.
– Proficiency in Power BI Data Modelling, including DAX, Power Query, and data visualisation techniques.
– Solid grasp of database management systems, ETL processes, and SQL.
– Experience with data warehousing and data modelling best practices.
– Excellent analytical, problem-solving, and communication skills.
– Ability to work independently and collaboratively in a team environment.
– Demonstrated expertise in optimising data models and queries for enhanced performance and scalability, with a focus on promoting reusability and efficiency.
– Experience in data governance and compliance.
– Understanding of cloud technologies and data warehousing concepts.

Desirable Skills/Experience:
– Experience with Power BI.
– Familiarity with Agile methodologies.
– Familiarity with advanced analytics concepts, including forecasting, clustering, and integration with machine learning models.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That’s why we work, on average, a minimum of three days per week from the office. But that doesn’t mean we’re not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our outstanding and ambitious world.

Join a talented global team that’s powering AstraZeneca to better serve patients, every day. The fuel behind our evolving, rapidly growing enterprise, we’re here to help unlock the power of what science can do and ultimately have a big impact on patients’ lives. With countless opportunities available, this is the place to build an outstanding reputation. And, as you take your career in new directions and to even greater heights you’ll be rewarded for your successes.

Are you ready to make a difference? Apply now!

Date Posted

31-May-2024

Closing Date

30-Jul-2024

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.