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Mastercard
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Senior Analyst

Senior Analyst

Mastercard

5 - 10 years

9 - 14 Lacs

gurugram

Posted:13 hours ago| Platform:

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Skills Required

tableau python data analysis data science stakeholder management sales enablement power bi agile finance sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Summary

The Senior Analyst, Value Enablement & Optimization, will lead the development of data-driven frameworks, tools, and strategies aimed at optimizing value delivery across Pricing, Pre-Sales Enablement, and Customer Success.

This role requires a combination of strategic thinking and technical expertise to build scalable solutions aligned with Mastercard's growth objectives. The ideal candidate will be a clear communicator, a collaborative team player, and an innovative problem solver who is passionate about driving impactful insights. Experience in the payments industry will be a strong plus.

Key Responsibilities

Strategic Support Design and implement value enablement frameworks that optimize pricing strategies, enhance pre-sales propositions, and ensure customer success
Collaborate with global and regional teams to tailor solutions that meet regional business needs and align with Mastercard's objectives
Provide data-driven insights and recommendations to optimize pricing, pre-sales strategies, and customer success outcomes
Develop frameworks, project structures, and presentations to communicate key strategic initiatives
Conduct data integrity checks and ensure quality and reliability in data used for analysis
Translate complex business problems into analytical solutions that support strategic decision-making
Technical Leadership Lead the development of advanced analytics tools, such as ROI calculators and value dashboards, to measure and optimize business performance
Utilize Python, SQL, and BI tools (e.g, Tableau, Power BI) for data analysis, modeling, and visualization
Create dynamic, interactive dashboards to provide stakeholders with actionable insights
Integrate AI/ML models to enhance the accuracy and efficiency of analytical tools (good-to-have, not mandatory)
Drive process efficiency and scalability through automation and advanced analytics techniques
Value Enablement Initiatives Develop frameworks for measuring and tracking customer value realization
Design predictive models and real-time insights to create tailored customer solutions and business cases
Build self-service analytics tools to empower stakeholders with actionable insights
Encourage a culture of innovation by promoting participation in Sandbox challenges and regular brainstorming sessions
Develop flexible and agile solutions based on a deep understanding of business goals and market context
Revenue Optimization Identify and implement strategies to optimize revenue through data-driven analysis
Track performance metrics and identify opportunities to improve alignment with revenue goals
Develop tools to track realized ROI and customer outcomes, providing diagnostics for further optimization
Collaboration & Team Enablement Collaborate with cross-functional teams to ensure smooth execution of strategic initiatives and projects
Foster a collaborative and innovative environment, promoting knowledge sharing and teamwork
Lead working sessions to drive alignment and productivity within the team
Provide mentorship and feedback to support team members' professional development
Lead internal training and enablement efforts on analytics tools and methodologies
Stakeholder Management Manage and implement roadmaps for strategic projects, ensuring alignment with business priorities
Engage regularly with stakeholders, ensuring effective communication of project progress and addressing escalations
Lead standups and project meetings, ensuring clear articulation of agendas, action items, and next steps

Qualifications/ Experience

5+ years of experience in analytics, data science, pricing strategy, customer success, or related fields, ideally within the payments, financial services, or technology sectors (experience in payments industry is a strong plus)
Proven track record of developing and scaling data-driven tools and frameworks with measurable outcomes
Experience in using Python, SQL, and BI tools (e.g, Tableau, Power BI) for building analytics solutions
Experience integrating AI/ML models to enhance predictive insights and automate workflows is a good-to-have
Proficient in Microsoft Excel and PowerPoint for data analysis, reporting, and presentation development
Skills Strong technical acumen with the ability to design and implement advanced analytics and visualization solutions
Exceptional analytical and problem-solving skills, with the ability to derive actionable insights from complex data sets
Clear and concise communication skills, with the ability to translate technical insights into business impact for both technical and non-technical stakeholders
Ability to work collaboratively within cross-functional teams and promote a knowledge-sharing environment
Deep understanding of pricing strategies, customer success enablement, and revenue optimization principles
Education - Bachelors degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field
Advanced degrees (MBA, Masters, or certifications in analytics, data science) are preferred.

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Senior Analyst