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.