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Business Analyst A2

Summary

Designs AI-driven marketing strategies for banking products, builds Tableau dashboards, and analyzes campaign performance using SAS, SQL, and Python.

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.

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.

See also