Job Description

Job Description: As a Business Analytics Analyst , we are seeking an experienced analytics professional who can demonstrate the following behaviors in their day-to-day role. Key Responsibilities: Client-Centric Analytical Solutions: Develop analytical solutions that are focused on business issues while ensuring a client-first approach . Analytical Project Management: Lead and execute complex analytical projects , including understanding business challenges, building analytical models, and implementing solutions that drive revenue. Statistical Expertise: Apply segmentation techniques, hypothesis testing, predictive modeling, and statistical methodologies to solve business problems. Stakeholder Management: Manage relationships with multiple stakeholders across different departments and geographical regions. Project Management Competency: Develop project strategies, delegate tasks efficiently, and maintain seamless communication across teams. Organizational Initiatives: Engage in training, competency development, and internal organizational initiatives to contribute to company growth. Working Relationships: Reporting to: VP Business Growth External Stakeholders: Clients Skills & Competencies Required: Technical Skills: Experience in Python or R programming . Strong background in Machine Learning & Statistical Modeling . Hands-on experience in P&L Forecasting, Product Pricing, and Acquisition Strategy projects . Proficiency in Tableau for data visualization . Experience with Adobe Analytics (SiteCatalyst) . Soft Skills: Ability to work independently or in a team . Excellent written and verbal communication skills . Strong critical thinking and problem-solving abilities . High flexibility willing to take initiative and bridge gaps when needed. Academic Qualifications & Experience Required: Bachelor s Degree with 3 years of experience in data analytics OR Master s Degree with 2 years of experience in data analytics. Hands-on experience in SAS and SQL . Experience working with large datasets, data warehouses , and the ability to extract data using relevant programming languages . Strong background in Statistical Analysis . Experience in Credit Cards, Retail Banking, or any other domain is acceptable.