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EXL

Analyzes business data and runs outsourced operations

Lead Assistant Manager - Python & Power BI

Manual & Functional QA +1Confirmed live in the last 24 hours
Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of business analysis experience, including at least 2 years using Python, Power BI, and SQL.
  • Mandatory experience with Oracle and SQL Server.
  • Strong expertise in writing and optimizing SQL queries, subqueries, complex joins, and stored procedure validations; experience with Oracle, SQL Server, PostgreSQL, or similar systems.
  • Understanding of data warehouse concepts, including fact and dimension tables and star and snowflake schemas.
  • Working exposure to testing data ingestion and curation pipelines.
  • Knowledge of data profiling, data quality checks, and root cause analysis.
  • Experience with test management tools such as JIRA, Quality Center, Azure DevOps, or Rally.
  • Proficiency in analyzing data issues and tracing root causes.
  • Working exposure to Agile or Scrum methodologies.
  • Outstanding written and verbal communication skills.
  • Communication skills and exposure to client-related requirements gathering.
  • Finance analysis, reporting management, and providing quick solutions.
  • Project and automation documentation and log tracker management skills.
  • Business data modelling and Power BI or Tableau visualization experience.

Responsibilities

  • Develop and execute test cases for ETL processes.
  • Develop SAS programs and perform data transformation and data testing.
  • Apply business analysis understanding, Power BI data modelling, and SQL knowledge.
  • Use Python for automation, data cleansing, and standardization.
  • Analyze ETL requirements and source-to-target mappings to design comprehensive test scenarios and test cases.
  • Write and run complex SQL queries for data validation across different environments.
  • Log and track defects using tools such as Jira, ALM, or Bugzilla.
  • Create automated test scripts using Python.
  • Validate data quality, data profiling, and data cleansing processes across source and target systems.
  • Review and validate source-to-target data mappings and transformation logic.

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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