Decision Analyst
Barclays is hiring a Decision Analyst in Gurugram, India. Level rates it ; you can apply on Barclays.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include data extraction, sensitivity analysis and scenario planning.
- Level classifies it as a lead role.
- Level lists 607 other open roles at Barclays.
AI in this role
Extract insights from complex data, build quantitative decision models, and lead a team as a Decision Analyst.
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 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.
Join us as a “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 Decision Intelligence team at Barclays drives strategic business impact by applying advanced analytics and data science to solve complex challenges. Focused on enhancing profitability, customer experience, and operational efficiency, the team builds analytical capabilities to inform business strategies and case development. By uncovering growth opportunities, optimizing customer and digital strategies, and improving risk management, they deliver data-driven and decision focused solutions in collaboration with stakeholders, fostering a culture of informed decision making and continuous improvement throughout the organization.
To be a successful as a “Decision Analyst", you should have experience with:
- Synthesizing business knowledge, market research, and analytics to drive strategic outcomes.
- Understanding value drivers across products and services, linking customer, operational, and financial levers.
- Breaking down complex challenges using frameworks such as MECE, hypothesis-driven approaches, 5 WHYs, 80/20, and decision trees.
- Using Python, SQL, Excel, and Tableau to transform data into actionable insights.
- Generating insights that drive measurable business outcomes.
- Crafting compelling, data-backed narratives for senior stakeholders and delivering powerful executive presentations.
- Coordinating cross-functional teams and tracking benefits realization.
Desirable skillsets/ good to have:
- Strong communication and storytelling.
- Good at problem solving skills and strategic thinking.
- AI Awareness/Adoption.
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 will be based out of Gurgaon.
How we rate this
Decision Analyst at Barclays rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data extraction was part of your work. What did you do?
- Tell me about a project where sensitivity analysis was part of your work. What did you do?
- Tell me about a project where scenario planning was part of your work. What did you do?
- Tell me about a project where quantitative modeling was part of your work. What did you do?
- Tell me about a project where data quality control was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Extraction, Sensitivity Analysis, Scenario Planning, Quantitative Modeling, and Data Quality Control. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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