Lead Assistant Manager – Quality Assurance Analyst focused on automation, ETL, and system integration testing for enterprise data migration and platform integration initiatives.
Responsibilities
Design, build and maintain reusable automation scripts and test suites
Plan and execute system integration testing (SIT), end-to-end testing and smoke testing across integrated systems
Perform ETL and data migration testing, validating source-to-target mapping, transformation logic, reconciliation and data integrity
Create, manage and refresh reusable test data aligned with defined test scenarios
Maintain Azure DevOps traceability linking requirements, test cases, test runs and defects
Requirements
Bachelor’s degree in any field
Bachelor's degree in Business, Engineering, Data Science, Operations, or any related field
Forensics Data Analyst with strong SQL and data analytics capabilities to support forensic investigations, fraud reviews, compliance assessments, and risk analytics.
Responsibilities
Extract and analyze large, complex datasets using advanced SQL across multiple databases and source systems.
Perform data profiling, cleansing, transformation, reconciliation, and quality validation to establish reliable datasets for investigations.
Develop sophisticated SQL queries using joins, CTEs, window functions, subqueries, aggregations, stored procedures, and query optimization.
Conduct forensic analytics to identify fraud indicators, unusual transactions, duplicate payments, conflicts, outliers, transaction splitting, unusual relationships, and behavioral patterns.
Integrate and reconcile data from ERP systems, databases, flat files, and other structured or semi-structured sources.
Requirements
Bachelor of Technology in Computer Science
Master of Science in Data Science
Master of Computer Applications
Certification in Data Analytics
Nice to have: Python for data analysis and automation
Design, build, and support scalable data pipelines and products that enable analytics, reporting, operational insights, and AI-driven solutions across Nationwide Pet.
Locations (3)
Columbus, Ohio, United States
Des Moines, Iowa, United States
Scottsdale, Arizona, United States
Compensation
The national salary range for Specialist, Data Engineer : $95,500.00-$177,500.00
The expected starting salary range for Specialist, Data Engineer : $95,500.00 - $143,500.00
Responsibilities
Provides technical consultation on data product projects by analyzing end-to-end requirements
Produces data models, flows, and reporting structures for client demands
Applies secure software and systems engineering practices throughout delivery lifecycle
Translates business data stories into technical designs and estimates
Data Scientist Extended Term Consultant (ETC) supporting outcome measurement, AI tools, and strategic analytics for the World Bank Group.
Responsibilities
Support development and refinement of outcome indicators and methodologies
Monitor outcome targets and forecast portfolio trajectories
Design and maintain AI-driven analytical tools and data pipelines
Author methodological notes and technical guidance
Analyze portfolio metrics and generate executive insights
Requirements
Master’s degree in Data Science, Computer Science, Economics, Statistics, Applied Mathematics, Information Systems, Public Policy, Public Administration, International Development, Business Management, or a closely related quantitative field
Senior Technical Program ManagerNewGoogle · Sunnyvale, US+2 more
Business Systems Analyst – FR 2052aCognizant · Bangalore, India
Lead Assistant ManagerEXL · India
E T Consultant - Data ScientistWorld Bank Group · Washington, US