Senior Analytics Manager - VP at Barclays

, , India -

Full Time

Start Date

Immediate

Expiry Date

01 Feb, 26

Salary

0.0

Posted On

03 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Strategic Thinking, Commercial Awareness, Problem Structuring, Technical Knowhow, Data Driven Decision Making, Communication & Influence, Stakeholder Management, People Leadership, Project Leadership, Role Model, Problem Solving, Curiosity, Outcome Oriented, Challenger Mentality, Collaborative, Ownership & Accountability, Resilience & Adaptability

Industry

Banking

Description

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. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. 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 will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. 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. At Barclays, we don’t just adapt to the future – we create it. Embark on a transformative journey as a Senior Analytics Manager - VP, where you’ll play a pivotal role in shaping the future of Barclays UK (BUK) Data & Analytics (DNA) team, your role involves identifying and evaluating commercial opportunities and risks, prioritizing work across the BUK, and leading virtual teams to investigate these issues. Your key responsibilities are expected to drive strategic outcomes that improves profitability, customer experience, or operational efficiency. Your key role is to solve High Impact problems often involving cross functional change. Typical deliverables are building analytical and data science capabilities that drive Strategic roadmaps, Business case development, Target Operating model design. Provide strategic advice to Group Executives to support the decision-making process of business challenges and opportunities. You will also manage stakeholder relationships, communicate complex ideas effectively, and ensure compliance with regulatory requirements. To be successful as a Senior Analytics Manager - VP, you should have experience with: Skills/Competencies required: To drive strategic outcomes, combination of core consulting competencies combined with deep commercial awareness of value drivers is required. Expected to navigate complex business problems, have strategic foresight and influence decision making at senior level. Strategic Thinking: Ability to bring internal business knowledge, external environment, research and analytics together to drive strategic outcomes. Commercial Awareness: Deep understanding of value drivers across product and services and ability to link customer, operational, and financial levers to drive revenue growth, customer experience and operational efficiency. Problem Structuring: Ability to break down a complex problem into simple steps and well versed/hands on with techniques like MECE framework, Hypothesis based, 5 WHYs, 80/20, Decision Trees etc. Technical Knowhow: Ability to use Python, SQL, Excel, Tableau to transform and interpret data. Data Driven Decision Making: Ability to use analytics, generate insights that drive business outcomes. Communication & Influence: Ability to craft compelling, data backed strategic narratives for senior stakeholders. Strong PowerPoint & executive presentation skills. Stakeholder Management: Strong stakeholder alignment across Business, Tech, Risk, Compliance & other departments. Coordinating cross functional teams and track benefits realization. People Leadership: Support and develop (head count 10+) team members throughout their development journey, enhancing their capabilities and mindset. Project Leadership: Define project scopes, deliver through others, plan appropriately, manage stakeholders, and navigate the organization to achieve goals. Role Model: Exemplify organizational values and standards, contribute to various initiatives, manage performance, and influence others to deliver outstanding results. Behavior/Mindset required: To drive strategic outcomes, it needs a mindset that goes beyond problem – solving. Rather, it blends ownership, curiosity & resilience. Problem Solving: Handle high ambiguity, simplify complexity, navigate the issues and bring clarity. Curiosity: Stay updated on market trends, competitive shifts and innovation. Constantly ask “Why?”, “What If?”, “So What?”. Outcome oriented: Focus on impact, not activity. Align work with measurable outcomes, not just deliverables. Challenger Mentality: Challenge the status quo without being combative. Push the stakeholder and team thinking with data driven insights. Collaborative: Lead without authority, coordinate across people and teams, Build trust. Ownership & Accountability: Treat this business as their own. Take end to end ownership of the business problem till the implementation. Ensure recommendations get adopted and deliver value. Resilience & Adaptability: Iterate fast, fail fast, pivot based on the feedback. Stay composed in challenging client environments. Some of Highly Valued Skills may include: Expertise and practical experience of creating customer segmentation models. Practical knowledge of data warehouse and MI environments and practices. Project management and cross functional matrix leadership experience. Experience in Global bank captives data science consulting units. 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. The location for this role is Gurgaon, IN. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

Responsibilities

The Senior Analytics Manager - VP is responsible for extracting insights from complex data sets and developing decision models to present actionable recommendations. This role involves advising stakeholders, managing risks, and leading teams to drive strategic outcomes that improve profitability and operational efficiency.