Role and Responsibilities:
As a Senior Analyst, Value Enablement & Optimization, you will be instrumental in:
Strategic Support
- Designing and implementing value enablement frameworks for Pricing, Pre-Sales Enablement, and Customer Success, ensuring alignment with Mastercard's overarching growth strategies.
- Collaborating with global and regional stakeholders to ensure scalable solutions that are tailored to specific regional needs.
- Providing data-driven recommendations to optimize pricing, enhance pre-sales propositions, and ensure superior customer success.
- Developing project structures/frameworks and building/reviewing presentations for key initiatives.
- Conducting thorough data sanity and hygiene checks to ensure robust data integrity.
- Converting complex business problems into analytical problems to facilitate strategic development.
Technical Leadership
- Developing and deploying advanced analytics tools, including ROI calculators and comprehensive value dashboards.
- Utilizing proficiency in Python, R, and SQL for sophisticated data analysis, modeling, and tool development.
- Creating dynamic dashboards and compelling visualizations using various business intelligence platforms.
- Integrating AI/ML models to enhance the accuracy and efficiency of analytical tools.
- Driving process efficiency and scalability through automation and advanced analytics solutions.
Value Enablement Initiatives
- Building frameworks to effectively measure and track customer value realization.
- Designing tailored customer solutions and compelling business cases incorporating predictive models and real-time insights.
- Developing self-service analytics tools to empower teams with actionable insights.
- Encouraging participation in Sandbox challenges and leading regular brainstorming sessions for new ideas and innovations.
- Building agile and flexible solutions by thoroughly understanding core business processes and context.
Revenue Optimization
- Identifying and implementing revenue optimization opportunities through strategic data analysis.
- Monitoring key performance metrics to ensure alignment with revenue goals and identify areas for improvement.
- Developing tools to track realized ROI and provide diagnostics for customer outcomes.
Collaboration & Team Enablement
- Working closely with cross-functional teams to ensure seamless execution of initiatives.
- Fostering a collaborative and innovative environment, actively encouraging knowledge sharing across teams.
- Planning and leading working sessions with the team to drive progress and foster creativity.
- Providing mentorship and constructive feedback for personal and professional growth within the team.
- Supporting training and enablement for internal teams on new analytics tools and methodologies.
Stakeholder Management
- Creating and implementing comprehensive roadmaps for strategic initiatives.
- Managing regular connects and alignment with stakeholders, effectively handling escalations.
- Planning and articulating stand-ups, agendas, action items, and next steps for various projects and meetings.
Qualifications & Experience
- 5+ years of experience in analytics, data science, pricing strategy, customer success, or related roles, ideally within the payments, financial services, or technology sectors.
- Proven track record of developing and scaling data-driven tools and frameworks with demonstrable and measurable outcomes.
- Expertise in programming languages such as Python, R, and SQL, with strong experience in building scalable analytics solutions.
- Proficiency in business intelligence tools (e.g., Tableau, Power BI) for creating impactful 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 keen focus on deriving actionable insights from complex datasets.
- Excellent communication and stakeholder management skills, with the ability to effectively translate technical insights into clear business impact.
- Deep understanding of pricing strategies, customer success enablement, and revenue optimization principles.
Education
- Bachelor's degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field.
- MBA/Advanced degrees or certifications in analytics, data science, or AI/ML are preferred.
