Barclays Data & Analytics Job Alerts – Apply Soon!

Qualifications

To be successful in this role as a Data Strategy Analyst, you should possess the following skillsets:

1.Technical skills consistent with performing the following functions:

• Use Python and various packages for the exploration of data within AWS/Athena environment.
• Read and potentially convert SAS scripts to Python – recognize data usage in SAS and be able to migrate the data steps into Python/Pyspark for analysis.
• Manage code and processes with version control platforms like Git, BitBucket and potentially GitHub.

2.Communication skills as both the receiver of requests and the provider of results.

• Must be able to take relevant direction on a request and translate that into an approach for the analysis that drives to the right results.
• Must be able to compile results and provide to business teams in a meaningful manner to deliver value and drive insight to whether data migration is successful.

3.Data Quality concepts to understand what makes data valid and how to assess it.

• Provide insight to Tech for standardized validation of data transformation.
• Collaborate with business teams to understand what “good data” means to them and translate this into requirements.

Some other highly valued skills include:

• Team collaboration – the Data Strategy team is highly collaborative and each member provides input and insight for weekly meetings, monthly business reviews and other product/process sharing endeavors.

You will also be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

Purpose of the Role:

• To use innovative data analytics and machine learning techniques to extract valuable insights from the bank’s data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.
• The Data Strategy Team within Credit and Data Analytics (CDA) is in a long-term program to migrate data and analysis from on premise tools and platforms (SAS, Oracle, etc)  to AWS with world class analysis using more modern tools, platforms and data (AWS, Databricks, Git, Python, etc).
• As part of this journey, Data Strategy works closely with both business units and Tech resources to craft the narrative of what the migration will look like and then validates that it was done successfully.