Decision Analyst

Job Description
Purpose of the role
To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments.
Accountabilities
Identification and extraction of relevant data from various internal and external sources.
Performing sensitivity analysis and scenario planning.
Monitoring and evaluation of the performance of existing models.
Development and implementation of data quality control procedures.
Building and validation of quantitative models to support decision-making across different business areas.
Analyst Expectations
To meet the needs of stakeholders/ customers through specialist advice and support
Perform prescribed activities in a timely manner and to a high standard which will impact both the role itself and surrounding roles.
Likely to have responsibility for specific processes within a team
They may lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. They supervise a team, allocate work requirements and coordinate 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 manage own workload, take responsibility for the implementation of systems and processes within own work area and participate on projects broader than direct team.
Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams.
Check work of colleagues within team to meet internal and stakeholder requirements.
Provide specialist advice and support pertaining to own work area.
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 all teams in area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams.
Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative / operational expertise.
Make judgements based on practise and previous experience.
Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures.
Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day to day administrative requirements.
Build relationships with stakeholders/ customers to identify and address their needs.
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 “Decision 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 Portfolio Credit Analytics & Strategy team is at the forefront of shaping Barclays’ unsecured lending strategies through rigorous data analysis and actionable insights. Working closely with senior leaders across Product, Finance, and Risk, the team drives strategic recommendations on Product, Affordability, and Securitization, with a strong focus on analytical quantification. As an in-business function, the team primarily supports the analytical agenda for unsecured lending products, including, but not limited to, Pricing and Limit strategies, ensuring robust decision-making at every turn.
To be successful in this role as a “Decision Analyst" in Barclays UK, you should possess the following skillsets:
Really strong data skills using SAS, SQL & Python.
A decision analyst must possess strong analytical and quantitative skills to evaluate data, identify patterns and trends, and generate insights that support effective business decision-making.
Attention to detail is critical for a decision analyst to ensure data accuracy, validate assumptions, and identify inconsistencies that could impact the quality of analyses or recommendations.
Hands-on experience in developing predictive statistical models, forecasting techniques, machine learning & Risk-Reward models, demonstrating your proficiency in applying advanced analytics to real business challenges.
Solid proven experience in making strategic recommendations through analytics in Unsecured lending (Cards/Loans/Overdrafts), Banking, Retail, eCommerce or pharmaceutical domains.
Decision analysts must demonstrate critical and strategic thinking, enabling them to solve complex business problems, assess trade-offs, evaluate risks, and develop data-driven solutions that optimize outcomes.
Some other highly valued skills include:
Effective articulation and story-telling ability, enabling you to communicate complex analytical findings in a clear and compelling manner to diverse stakeholders.
Strong commercial understanding of unsecured lending products, risk and affordability policy, and the key drivers of revenue, risk, and cost, equipping you to provide strategic recommendations that balance growth and risk mitigation.
You may 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, Candor Techspace office.