Lead Assistant Manager

EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 55,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.

EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision-making and embed analytics more deeply into their business processes. Our global footprint of nearly 8,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization.  EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.

Please visit www.exlservice.com for more information about EXL Analytics.

Role and Responsibilities Overview:

• Oversee all aspects of quality assurance including establishing and reporting on metrics, applying industry best practices and developing new tools and processes to ensure quality goals are met.
• Adhere to formal QA processes, ensuring that the Systems Implementation (SI) team is using Industry accepted best Practices. 
• Collaborate with cross-functional teams to define test plans and strategies for validating data pipelines, ETL processes, and transformations using PySpark, Databricks, and SQL.
• Design and execute tests using SQL queries and data profiling techniques to validate the accuracy, completeness, and integrity of data stored in various data repositories, including data lakes and databases.
• Adhere to formal QA processes, ensuring that the Systems Implementation (SI) team is using industry-accepted best Practices. 
• Ensure data accuracy in both SQL and the Data Lakehouse platform. Use detailed and effective written communication skills to document the features tested and bugs found.
• Conduct performance testing of data processing jobs and workflows to identify bottlenecks, optimize code, and improve overall system performance using PySpark performance tuning techniques.
• Act as a key point of contact for all QA aspects of releases, providing test services and coordinating QA resources internally and externally in SQL, PySpark/Python, Databricks Delta, and Delta Live Tables.
• Strong experience in functional testing and test automation.
• Process breakdown & testing the different scenarios at every step.
• Diagnose defects and track them from discovery to resolution.
• Ensure the SI maintains High quality and accuracy up to release.
• Ensure all testing work is carried out in accordance with the testing plan, Including schedule and quality requirement.
• Collaborates with data warehouse architect, the ETL lead and BI developers in the construction and execution of test scenarios including those applicable to the development, test and production data warehouse environment.

Candidate Profile

• Bachelor’s/Master's degree in computer science/engineering, operations research, or related data and analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
• Proficiency in Data Engineering, Data Management (ETL) solutions.
• In-depth understanding of PySpark, Python, SQL, and Databricks Delta and Delta Live Tables with Unity Catalog (preferred)
• Insurance Industry knowledge preferred.
• 4-6 years of QA experience.
• QA best practices and methodologies to design, implement, and automate processes.
• Knowledge on SQL & PySpark (Mandatory)
• Able to write nonfunctional and negative test cases.
• Outstanding written and verbal communication skills
• Able to work in fast pace continuously evolving environment and ready to take up uphill challenges.
• Able to understand cross cultural differences and can work with clients across the globe.
• Self-Motivated, works well independently and with others.
• Using metrics-driven approach and closed loop feedback to improve software deliverables and improve predictability and reliability of releases. 

What we offer:   

• EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.
• You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth 
• We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
• Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.