Analytics Consultant

🕒 July 1

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EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 $2M Venture Round on 2015-01

Healthcare • Insurance • Logistics

EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data.

📋 Description

• Analyse complex datasets to uncover insights, trends, and patterns that support strategic and operational decision‑making. • Design and build analytical logic, data models, and calculations to enable scalable analytics and business intelligence solutions. • Collaborate closely with business stakeholders to understand requirements, translate them into analytical use cases, and deliver actionable insights. • Validate data sources and outputs to ensure consistency, reliability, and alignment with business definitions and KPIs. • Partner with engineering, data science, and BI teams to implement end‑to‑end analytics solutions.

🎯 Requirements

• Bachelors / Master’s degree in Finance, Economics, Statistics, Engineering or a related quantitative field from a top-tier university • Python & Advanced SQL: 2+ years of hands-on experience with performance tuning and complex query optimization. • Strong analytical & problem-solving skills and proficiency in Microsoft Excel and PowerPoint • Excellent communication, presentation and storytelling skills with data-driven orientation, and comfort operating in fast-evolving, ambiguous environments • Experience with cloud-native data warehouses such as Snowflake, Databricks, BigQuery, or Redshift. • Working knowledge of data visualization software such as Tableau, Power BI and Looker • Hands-on experience with cloud platforms: AWS, Azure, or GCP.