Big Data Analytics

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.