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EXL

Analyzes business data and runs outsourced operations

Lead Assistant Manager

Business IntelligenceConfirmed live in the last 24 hours
Full-timeNoida, Uttar Pradesh, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least three years of total experience; the qualifications specify 3–5 years in business intelligence, analytics, or related roles.
  • At least two years of hands-on experience with AWS Glue, AWS Lambda, Amazon RDS, Amazon Redshift, and Amazon S3.
  • Experience with AWS QuickSight; experience with Power BI or similar data visualization tools is also acceptable.
  • Experience with SQL programming, PostgreSQL, and AWS Redshift.
  • A BS or MS degree in Engineering, Data & Analytics, Information Systems, or a related field.
  • Strong problem-solving and analytical skills, with the ability to resolve complex issues using knowledge and creativity.
  • Ability to understand how data and insights can be transformed into valuable features.
  • Project management skills, including organizing and prioritizing multiple tasks.
  • Ability to collaborate with partners across business units and organizational levels.

Responsibilities

  • Design and develop interactive dashboards, reports, and visualizations that provide actionable insights to business stakeholders.
  • Analyze data, identify insights, and collaborate with sales leaders to recommend business actions.
  • Work with business stakeholders to understand requirements and translate them into comprehensive, scalable business intelligence solutions.
  • Use internal data warehouses and external datasets to build data assets for analysis and visualization.
  • Design and implement automated, accurate, and reusable ETL processes to extract, transform, and load data.
  • Collaborate with cross-functional teams, including data analysts and sales leaders, to gather requirements and feedback and deliver solutions.
  • Document business intelligence solutions, including ETL processes and visualizations, and provide training and support to users and stakeholders.
  • Conduct discovery meetings with stakeholders, use existing SQL queries and build new ones, create ETL processes using AWS Glue and Lambda, work with AWS Redshift, develop automation workflows, and use AWS QuickSight and Power BI for visualization.
  • Take end-to-end ownership of projects and independently analyze sales data to create business intelligence dashboards.

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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