Data Strategy Analyst

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. 

Accountabilities

• Identification, collection, extraction of data from various sources, including internal and external sources.
• Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.
• Development and maintenance of efficient data pipelines for automated data acquisition and processing.
• Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Analyst Expectations

• To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
• Requires in-depth technical knowledge and experience in their assigned area of expertise
• Thorough understanding of the underlying principles and concepts within the area of expertise
• They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.
• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team’s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Embark on a transformative journey as Data Strategy Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.

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.

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.

This role is based in our Noida office.