Senior Analyst, Big Data Analytics

Job Summary

The Senior Analyst, Value Enablement & Optimization, will lead the development of data-driven frameworks, tools, and strategies that enhance value delivery across Pricing, Pre-Sales Enablement, and Customer Success. This role combines strategic thinking with technical expertise, requiring proficiency in advanced analytics, business intelligence, and automation to support scalable solutions that align with Mastercards growth objectives. The ideal candidate is a technically skilled, innovative, and collaborative problem solver with a passion for delivering impactful insights that drive customer and revenue success.

Key Responsibilities

Strategic Support

Design and implement value enablement frameworks for Pricing, Pre-Sales Enablement, and Customer Success, aligning with Mastercard's growth strategies.

Collaborate with global and regional stakeholders to ensure scalable solutions tailored to regional needs.

Provide data-driven recommendations to optimize pricing, enhance pre-sales propositions, and ensure customer success.

Develop project structures/frameworks and build/review presentations.

Conduct data sanity and hygiene checks to ensure data integrity.

Convert business problems into analytical problems for strategic development.

Technical Leadership

Develop and deploy advanced analytics tools like ROI calculators and value dashboards.

Use Python, R, and SQL for data analysis, modeling, and tool development.

Create dynamic dashboards and visualizations using business intelligence platforms.

Integrate AI/ML models to enhance tool accuracy and efficiency.

Drive process efficiency and scalability through automation and advanced analytics.

Value Enablement Initiatives

Build frameworks to measure and track customer value realization.

Design tailored customer solutions and business cases with predictive models and real-time insights.

Develop self-service analytics tools for actionable insights.

Encourage participation in Sandbox challenges and keep regular brainstorming sessions for new ideas.

Build agile and flexible solutions by understanding core business and context.

Revenue Optimization

Identify and implement revenue optimization opportunities through strategic analysis.

Monitor performance metrics to align with revenue goals and identify improvement areas.

Develop tools to track realized ROI and provide diagnostics for customer outcomes.

Collaboration & Team Enablement

Work closely with cross-functional teams to ensure seamless initiative execution.

Foster a collaborative and innovative environment, encouraging knowledge sharing.

Plan and lead working sessions with the team.

Provide mentorship and feedback for personal and professional growth.

Support training and enablement for internal teams on analytics tools and methodologies.

Stakeholder Management

Create and implement roadmaps for strategic initiatives.

Manage regular connects and alignment with stakeholders, handling escalations effectively.

Plan and articulate standups, agendas, action items, and next steps.

Qualifications

Experience

5+ years of experience in analytics, data science, pricing strategy, customer success, or related roles, ideally in the payments, financial services, or technology sectors.

Proven track record of developing and scaling data-driven tools and frameworks with measurable outcomes.

Expertise in programming (Python, R, SQL) and experience building scalable analytics solutions.

Proficiency in business intelligence tools (e.g., Tableau, Power BI) for creating dashboards and data visualizations.

Experience integrating AI/ML models to drive predictive insights and automate workflows is a strong advantage.

Skills

Strong technical acumen with the ability to design and implement advanced analytics and visualization solutions.

Exceptional analytical and problem-solving skills, with a focus on deriving actionable insights from complex datasets.

Excellent communication and stakeholder management skills, with the ability to translate technical insights into business impact.

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 or certifications in analytics, data science, or AI/ML are preferred.