
Big Data Analytics
1 day ago
Job description
All about You: 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.
Role and Responsibilities:-
- 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.
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. MBA/Advanced degrees or certifications in analytics, data science, or AI/ML are preferred.
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