Job Title: Business Analytics Analyst
Location: Chennai (Work from Office)
Experience: 2 to 5 Years
Function: AI & Data Science Enterprise Delivery
Role: Team Manager
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.
