Job Title: Business Analyst / Data Analyst / Marketing Analyst Job Type: Full-time
Job Summary We are looking for a skilled and motivated
Data Analyst with expertise in
SAS, Python, SQL, and Tableau to support data-driven marketing analytics and strategy initiatives in the
BFSI (Banking, Financial Services, and Insurance)
domain. The ideal candidate will collaborate closely with cross-functional teams to develop insightful dashboards and scalable SAS processes for multiple clients.
Key Responsibilities
Marketing Campaign Strategy & Audience Development Design data-driven marketing strategies for banking products based on historical campaign performance. Develop AI/ML models to optimize campaign ROI and customer targeting. Build and validate campaign audiences aligned with approved strategies.
Campaign Performance
Analysis & Reporting Enhance and maintain Tableau dashboards with a focus on usability and visual storytelling for non-technical stakeholders. Conduct in-depth data analysis using SAS to uncover trends, patterns, and actionable insights. Perform segmentation using decision trees and clustering techniques. Execute statistical A/B testing to evaluate campaign effectiveness.
Translate client requirements into technical specifications and deliver data-backed solutions. Prepare and present findings through impactful PowerPoint presentations and ad hoc reports.
Required Skills & Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Minimum
3 years of experience in analytics, preferably in marketing or BFSI. Proficient in
SAS ,
SQL , and/or
Python for data manipulation and analysis. At least
1 year of experience in building dashboards using
Tableau or
Power BI . Solid analytical thinking, problem-solving, and data storytelling skills. Excellent communication and interpersonal abilities. Ability to work independently and collaboratively in a fast-paced environment. Experience in the banking or financial services sector is a strong plus. Certifications in SAS or Tableau are advantageous.
Additional Requirements Must be available to work evening shifts to support global clients. Work from office : Candidates must be willing to relocate to