Business Analyst
No salary listed
Mid
Noida, Uttar Pradesh, India
In Person
Data & AnalyticsData Analysis, Business Intelligence
About the job
Requirements
- At least 3 years of experience in business analytics, data analytics, or data science-related roles.
- Strong proficiency in SQL for data extraction, manipulation, and analysis.
- Hands-on experience with Python, including Pandas, NumPy, and data analysis libraries.
- Experience with Snowflake for data analytics and warehousing.
- Strong expertise in data analytics and visualization tools such as Tableau or Power BI.
- Good understanding of statistical analysis techniques.
- Experience gathering requirements, communicating with stakeholders, and problem-solving.
- Team-handling experience, including mentoring and guiding junior resources.
- Project management skills, including planning, execution, and stakeholder coordination.
- Strong communication, leadership, and organizational skills.
Responsibilities
- Collaborate with stakeholders to gather, analyze, and document business requirements and translate them into analytical solutions.
- Perform advanced data analysis using SQL, Python, and Snowflake to uncover actionable insights.
- Develop and maintain dashboards and reports using Tableau or similar tools.
- Apply statistical analysis and exploratory data analysis to identify trends and patterns.
- Conduct marketing and sales data analysis to evaluate campaign performance, customer behavior, revenue trends, and business growth opportunities.
- Work with large datasets in Snowflake, ensuring efficient data processing and performance.
- Build automated data processes and analytical workflows using Python.
- Partner with cross-functional teams, including data engineering, marketing, and sales, to ensure data quality and business alignment.
- Communicate insights through data storytelling, visualizations, and presentations.
- Lead or support project execution, track deliverables, and ensure timely delivery.
- Mentor junior team members and contribute to team development where needed.
Desired Qualifications
- Exposure to machine learning models and predictive analytics.
- Experience with marketing and sales analytics, including campaign analysis, funnel metrics, customer segmentation, and revenue insights.
- Experience with Tableau.
- Familiarity with A/B testing, forecasting, and advanced analytics techniques.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Knowledge of data engineering concepts, including ETL/ELT pipelines.
About the company
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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Simplify's Take
What believers are saying
- Growth supports larger assignments: July 2026 results showed EXL's quarterly sales rose 15.6% year over year.
- Staff get substantial training: EXL recorded 1.6 million employee learning hours in 2025.
- Client accounts deepen over time: EXL's relationships typically expand from one service into multiple integrated business processes.
What critics are saying
- Large accounts shape job stability: EXL's ten largest clients supplied 34% of revenue in 2025.
- Team turnover is substantial: July 2026 results reported EXL employee attrition of 24.7%.
- A division faces leadership transition: September 2026 brought a scheduled October departure for insurance and healthcare chief Vivek Jetley.
What makes EXL unique
- Insurance clients are unusually large: EXL says nine of America's ten largest insurers use its services.
- Industry data shapes its models: EXL fine-tunes its language models using over a decade of proprietary data.
- Its AI toolkit extends beyond chatbots: EXL reports over 250 prebuilt agents and accelerators for enterprise workflows.
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Benefits
- Health Insurance
- Life Insurance
- Income Protection Insurance
- Private Healthcare
- Pension
- Professional Development Budget
- Employee Stock Purchase Plan
- Flexible Work Hours
- Hybrid Work Options