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Senior Manager Data Strategy & Insights

Senior Manager Data Strategy & Insights

Chargeback Gurusthane, maharashtra, in
1 day ago
Job description

Company Overview :

Chargeback Gurus helps businesses protect and recover revenue by providing innovative chargeback management solutions, AI analytics, and insights powered by our proprietary Chargeback management platform. By understanding our clients’ needs and fully aligning with their goals, we help clients reduce chargebacks and increase recovery rates to maximize revenue. Our technology solutions use powerful AI insights, data science and advanced analytics —combined with deep industry expertise—to deliver hundreds of millions of dollars in recovered revenue to our clients. visit www.chargebackgurus.com.

We are seeking a Senior Manager – Data Strategy & Insights to lead our data strategy efforts. This role will be instrumental in uncovering trends across transaction ecosystems, analyzing card usage behaviors, and deriving insights related to issuing banks. The ideal candidate will drive the development of robust reporting frameworks and data driven solutions.

Position Overview :

As the Senior Manager – Data Strategy & Insights , your role will be instrumental in shaping the company’s data strategy, enabling bold, insight-driven decisions that impact revenue, client experience, and operational efficiency.

This is an individual contributor role which requires a blend of strategic thinking, technical expertise, and leadership, with a strong understanding of MIS architecture, data visualization, and automation frameworks.

Key Responsibilities :

Data Analysis & Business Insights

  • Analyze large and complex datasets related to financial transactions, customer behavior, chargeback trends, and risk assessment.
  • Identify patterns, correlations, and trends to enhance fraud prevention and improve operational efficiency.
  • Provide data analysis to help stakeholders make data-driven business decisions.
  • Visualize KPIs for executive leadership and partner with data engineering teams to ensure seamless integration of MIS with organizational data warehouses.

Data Visualization :

  • Utilize data visualization tools such as PPT, Tableau, Power BI, QuickSight or similar platforms to transform complex data into intuitive visual representations.
  • Design interactive dashboards and reports that allow stakeholders to explore data and gain insights through interactive and dynamic filters and drill-down capabilities.
  • Must be able to interpret complex concepts and translate them into easy-to-understand graphs, charts, and visual graphics.
  • Create intuitive data visualizations and reports that facilitate understanding and decision-making across various organizational levels.
  • Cross-Functional Collaboration

  • Work closely with Sales, Operations, Finance, and Product teams to translate data into business strategies.
  • Support the Sales team by providing insights into ROI, revenue optimization, and market trends.
  • Collaborate with IT teams to enhance data governance and security protocols.
  • Guide executives and business leaders on leveraging MIS tools for strategic decision-making.
  • Process Optimization & Innovation

  • Continuously evaluate and optimize MIS processes to improve operational efficiency.
  • Implement data analytics solutions to improve forecasting and fraud detection.
  • Enhance data integrity by establishing data quality control measures.
  • Data Integrity and Quality Assurance :

  • Ensure data accuracy, completeness, and consistency in various datasets used for analysis.
  • Collaborate in data cleansing and transformation activities.
  • Continuous Learning and Industry Expertise :

  • Stay updated with the latest trends and techniques in data analysis, machine learning, and the chargeback industry.
  • Share insights and best practices with the team to foster continuous improvement.
  • Qualifications :

  • Bachelor’s / Master’s degree in Commerce and Business Administration with an additional qualification in Data Analytics and Reporting.
  • 12-15 years of experience in MIS, Data Analytics, preferably in the financial services, payments, or chargeback industry, with at least 4 years in a leadership role.
  • Demonstrated ability to influence senior leadership through data storytelling and strategic insights.
  • Woking knowledge in SQL, VBA, and data visualization tools (Power BI, Tableau, QuickSight).
  • Proven experience in automation of reporting and dashboarding.
  • Excellent command over MS Excel, PowerPoint, and Word for data interpretation and presentations.
  • Strong problem-solving skills with the ability to extract actionable insights from complex data.
  • Six Sigma, PMP, or Lean certifications would be a plus.
  • Strong leadership and communication skills, with the ability to present technical insights to non-technical audiences.
  • Ability to work in UK / US time zones (IST shifts between 3 PM – 12 AM).
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