Fraud Strategy, Specialist

Overview

The Data Analyst, Senior Specialist drives data-driven decision-making by leading complex analytical projects, optimizing data processes, and delivering actionable insights.

What you'll do

• Partner with internal stakeholders to understand strategic objectives, define data-driven approaches, and lead high-impact analytical projects that align with business goals.
• Extract, clean, and integrate structured and unstructured data from multiple sources, ensuring data accuracy, consistency, and reliability for business use.
• Conduct in-depth statistical analysis and predictive modeling to uncover trends, correlations, and insights that drive business growth and operational efficiencies.
• Develop and implement machine learning models and advanced analytics techniques to support strategic initiatives such as customer segmentation, demand forecasting, and risk assessment.
• Build and automate interactive dashboards, real-time reports, and data visualization tools using Power BI, Tableau, or similar platforms to enable data accessibility across teams.
• Enhance and optimize data pipelines, ETL processes, and cloud-based data infrastructures to improve data processing speed, scalability, and performance.
• Act as a subject matter expert on data analytics, providing mentorship, training, and guidance to junior analysts.
• Automate and streamline recurring data analysis and reporting workflows using Python, SQL, and other programming tools to improve efficiency and reduce manual effort.
• Collaborate with leadership to design and implement data-driven strategies, presenting insights clearly and compellingly to technical and non-technical audiences.

What you'll need

• Minimum 8 years of relevant work experience.
• At least 4 years in advanced analytics, statistical modeling, or business intelligence.
• Bachelor’s degree (B.E./B.Tech) in Computer Science or IT, or a Bachelor’s in Statistics or Mathematics.
• Expertise in SQL for data querying, performance optimization, and database management.
• Strong proficiency in Python or R for statistical analysis, automation, and machine learning model development.
• Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data lakes and big data processing tools.
• Ability to translate complex data insights into clear and actionable recommendations for business stakeholders.

Details

• This role is based in Hyderabad, Telangana, India.
• Vanguard has implemented a hybrid working model for most employees, designed to provide flexibility while enabling in-person learning, collaboration, and connection.