Business Analyst A2

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Ahmedabad, Gujarat, IND
In-Office
Mid level
Information Technology • Database • Consulting
The Role
Develop data-driven marketing strategies and audience segments for banking products. Build AI/ML models to optimize campaign targeting and ROI, analyze campaign performance using SAS, SQL, and Python, and conduct segmentation and A/B testing. Maintain Tableau or Power BI dashboards, translate business requirements into technical specifications, and present insights through reports and PowerPoint presentations.
Summary Generated by Built In

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.
Responsibilities

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.
Qualifications

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.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
  • At least 3 years of experience in analytics, preferably in marketing or BFSI
  • Proficiency in SAS, SQL, and/or Python for data manipulation and analysis
  • At least 1 year of experience 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
  • SAS or Tableau certification

EXL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.

  • Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
  • Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
  • Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.

EXL Insights

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