Chargeback Gurus
Location
Chennai | India
Job description
As a Senior Data Analyst in the chargeback industry at Chargeback Gurus, you will play a pivotal role in driving data-driven insights, uncovering patterns, and deriving actionable recommendations to optimize chargeback processes for our clients. You will collaborate closely with cross-functional teams, leveraging your analytical skills to enhance decision-making, and improve overall business performance. Critical thinking and problem-solving skills, utilizing statistics are essential for interpreting data.
Key Responsibilities:
• Analyze large and complex datasets related to financial transactions, customer behavior, fraud incidents, and payment disputes to identify trends, anomalies, and patterns.
• Monitor and evaluate data for anomalies, unusual patterns, and emerging fraud trends, taking proactive measures to address potential risks.
• Develop and maintain Management Information System (MIS) reports that highlight key performance metrics, trends, and insights for executive leadership and operational teams.
• Create standardized and ad-hoc reports that provide actionable insights to business leaders, guiding strategic initiatives and operational improvements.
• Work with Sales team to provide ROI for the new clients & ensure ROI committed for various business requirements are tracked and presented.
• Collaborate with internal teams, including operations, sales, marketing, client success, and product development, to identify opportunities for process improvements based on data insights.
• Utilize data visualization tools such as Power BI, QuickSight (preferably), PPT or similar platforms to transform complex data into intuitive visual representations
Job Requirement:
• Engineering Graduate in Information Technology/Computer Science or Masters degree in Statistics/Computer Science
• Minimum 4-5 years of experience, preferably in financial or banking industry, with a track record of delivering impactful insights.
• Minimum 6 months of Certification in ML or Familiarity with Standard machine learning algorithms and Data science principles will be added advantage
• Proficiency in data manipulation, analysis, and visualization using tools such as SQL, VBA, Python and data visualization applications (e.g., Power Bi, Quick Sight).
• Expert level of usage of MS-Excel, MS-PowerPoint and MS-Word.
• Sig Sigma, PMP and LEAN certifications would be an added advantage.
• Excellent problem-solving skills with the ability to extract insights from complex and unstructured data is necessary.
• Effective communication skills to convey technical findings to both technical and non-technical audiences are required.
• Detail-oriented mindset with a commitment to data integrity and quality assurance.
• Ability to multitask multiple projects, ensure high quality delivery with self-proofing capabilities.
• Ability and maturity to manage tasks and assignments independently.
• Flexible to work between 3 PM to 12 midnight or 6:30 PM to 3:30 AM IST shift
• Natural ability to thrive in a fast-paced, deadline-oriented environment.
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