Business Analyst A2

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.
• Strong 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.

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.