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EXL

Analyzes business data and runs outsourced operations

Lead Assistant Manager

Data ScienceConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • An MBA or a bachelor’s degree in Computer Science, Data Science, or a related field is required.
  • At least 6 years of experience in the analytics domain is required.
  • At least 4 years of hands-on experience with SAS, SQL, or Python for data analysis is required.
  • In-depth understanding of the BFSI domain is essential.
  • Experience with AI/ML modeling techniques is required.
  • Ability to independently manage data structuring and analytical tasks is required.
  • Availability to work during evening shifts is required.
  • Willingness to relocate and work from the office in either Gurugram or Ahmedabad is required.

Responsibilities

  • Design and implement data-driven marketing strategies for banking products by analyzing historical campaign data.
  • Build and refine targeted campaign audiences aligned with approved marketing strategies.
  • Leverage AI/ML models to optimize campaign performance and maximize return on investment.
  • Conduct in-depth data analysis using SAS to uncover trends, patterns, and actionable insights.
  • Perform customer segmentation using decision tree methodologies.
  • Conduct statistical A/B testing to evaluate campaign effectiveness.
  • Translate business requirements into clear technical specifications and deliver robust, data-backed solutions.
  • Prepare and present executive-level presentations and ad hoc reports tailored to various stakeholder groups.
  • Collaborate with internal teams to gather inputs and ensure alignment and consistency across deliverables.
  • Communicate complex analytical insights to technical and non-technical stakeholders to support informed decision-making.
  • Oversee project timelines and ensure timely execution of key deliverables and milestones.
  • Monitor progress cross-functionally, resolve roadblocks, and provide regular stakeholder updates.
  • Ensure accuracy and reliability in data handling.
  • Manage multiple projects simultaneously with minimal supervision while maintaining quality and consistency.
  • Conduct deep-dive analyses to support strategic decision-making, process improvements, and performance optimization.
  • Identify and implement opportunities to automate and improve efficiency in data collection and reporting workflows.

Desired Qualifications

  • Experience with SAS or Snowflake automation in data environments.
  • Exposure to personal loan marketing or product analytics.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

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