Job description
Data Analyst
We're now a global company operating at the forefront of the information age, employing 90,000 people in 180 countries. And we're on a mission. Guided by our core values of Personal, Simple and Brilliant our goal is to help customers, communities and businesses overcome barriers and release their potential.
So, if you're interested in the power of potential, why not join us today and release yours? You can read more here about what it's like to work at BT.
Our ability to deliver brilliant personalised experiences for all of our 28 Petabytes of BT wealth of data and 30m customers is fundamental to our future success. As a business we are investing extensively in the automation of our operations and networks, and in building our base management and data capabilities. This will allow us to take better decisions with data and to act on them in an automated way across all our customer interactions.
Data driven automation and decision making has never been more important to BT. We’re creating the best personal experiences for our customers to help them stay connected, and that mission is all underpinned by high quality, low latency data. This role is key to supporting and maintaining the existing data structures as we look to migrate these across to our cloud environment.
As part of the data engineering chapter, you will
Join with a team of highly skilled data engineers. You will understand and maintain our existing on premise logical data models as well as support their migration to the cloud environment. This will involve reverse engineering previously implemented structures to understand their current function. This is in the context of assuring data accuracy whilst ensuring operational continuity
- Troubleshooting and maintaining the health of the existing data estate by setting up and utilising existing querying tools including SAS
- Knowledge acquisition and application for existing legacy on prem estate along with an awareness of new cloud structures
- Specification and creation of new data fields to meet current business need and liaison with 3rd parties to track their implementation.
- Review testing of new data fields along with cloud based data structures.
- Support of data engineers and data quality engineers with understanding the current data behaviour
- Create innovative ways to help bring our data to life for our customers and manage their expectations as the cloud migration occurs.
- Team player
- Data querying & analysis skills using any flavour of SQL, with usage of a 4th generation language such as SAS an advantage.
- Knowledge of data structures and the ability to enhance the data to be integrated across the business
- Analytical and problem-solving skills, for example, you will need to be able to identify problematic datasets and establish a root cause.
- Experience in the visualisation of analytical data outputs on at least one visualisation platform (e.g., Qlik Sense, Tableau, etc.)
- Good communication skills to quickly gain credibility with both technical and business stakeholders
- Good attention to detail.
- Willingness and ability to learn rapidly and adapt quickly to changing situations
- Along with the great development and networking building opportunities you will also enjoy:
- A target bonus of up to 10%
- Pension contributions
- Share save scheme
- Access to exclusive staff products and savings
We're the leading communications provider with customers in 180 countries. Across the world we enable customer's digital transformations so they can thrive. our focus is simple: be the global provider-of-choice for managed network and IT infrastructure services..