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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst / Tester - **Company:** UK, LLC - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Third Normal Form, Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Data Analysis, Business Logic, Microsoft Azure, Big Data, Cloud Computing, Data Dictionary, Data Governance, Extract Transform Load (ETL), Data Mapping, Data Profiling, Data Visualization, Data Warehousing, Database Testing, High-Level Architecture, IBM Cognos Business Intelligence, Information Sciences, Meta-Data Management, MicroStrategy, Systems Development Life Cycle, Regression Testing, Power BI, Standard Sql, SAS (Software), Software Engineering, SQL Databases, SQL Server Reporting Services, SQL Server Integration Services, Tableau (Software), Test Case, Test Data, Data Processing, Google Cloud, Apache Spark, Ab Initio, Sap Business Objects, Data Lineage, Star Schema, Databricks - **Published:** August 7, 2026 - **Apply:** https://www.dice.com/job-detail/301fd826-44f5-45e6-873a-1a52680709e8 ## About the Role Basic Qualification: Master/Bachelor of Engineering or Equivalent, Experience with ETL, data processing, Business Intelligence Reports and Dashboards is required. Manage software product development lifecycle of one or more core application development streams for one or more business units is a big plus. Experience working with on-shore/off-shore delivery model is a plus. Criteria for the Role! Have a minimum of 2 years of experience working as a Data Analyst and/or Test Engineer performing Data Profiling using SQL Experience with one or more Cloud platforms - Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform Google Cloud Platform is a big plus Data analysis and Testing experience working with complex large datasets / big data performing data analysis, data profiling, data mapping and data modeling is required Creation and testing of Source-to-target mapping experience (including complex business rules) while transforming business/functional requirements to technical specifications. End to end system and data testing including leveraging/building automation for test case creation, regression testing suites, and data comparisons (Legacy vs New). Data Modelling experience including Dimensional (Star Schema) and Relational Normalized modeling including 3NF Knowledge of data processing/ETL architecture using one or more leading technologies such as Ab Initio/SAS/SSIS/Informatica/R/Java/Scala/Apache Spark/Databricks is required Experience with BI/Reporting such as Cognos/BOBJ/MicroStrategy/SSRS and Data Visualizations Tools like Power BI, Tableau, Qlick, is a plus Understanding and experience of ETL, Data Warehousing, Data Quality and Data Governance projects Hands-on with navigating in both a relational and non-relational SQL skillset is required. Experience and knowledge of one or more domains - Banking, Healthcare, Supply Chain/Inventory Management, Consumer Goods, Telecom, Hospitality, Energy Strong motivation, aptitude, and a high attention to detail while maintaining a focus on customer success Excellent communication, creative problem solver, flexible, proactive, attitude to learn newer tools/technologies and have demonstrated experience in effectively working within a fast paced, ever changing environment. Demonstrated experience in effectively managing multiple projects and activities in a timely, organized manner Demonstrated experience in organizing and prioritizing work, meeting deadlines and working independently as well as collaboratively with others. Education Qualification - Master of Science (preferably in Computer and Information Sciences or Business Information Technology) or an Engineering degree in the above areas. Experience working in an agile software delivery model is required. Validate requirements with stakeholders and the project team, provide suggestions and recommendations based on previous experience and industry best practices., Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Adept at SQL queries, Report creation/writing and presenting findings. Ability to perform Data Modelling (Dimensional, Star, Normalized, etc) a strong plus Own and Lead Data Analysis throughout the phases of the software development lifecycle (SDLC) Analysis of data to extract business logic under different business and technical BI reports (Tableau, Power BI, etc.) Understanding and experience to setup Metadata management like Data Dictionary, Data Glossary, Data Lineage for Data Governance aspects of project. Able to write pseudo-code, algorithms for requirements. Present written and verbal data analysis findings, to both the project team and business stakeholders. Manage changing priorities and work on multiple projects concurrently. Self-motivated and proactive in a fast-paced environment. Work with business stakeholders to gather requirements and complete artifacts, including solution design, detailed technical design and data/API modeling. ## Description This role will require critical thinking and analysis skills to support client delivery on strategic enterprise data and analytics projects. This will include working directly with the client business teams and Exusia technical teams on critical tasks including data requirements, data analysis, data modeling as well as high-level designs, technical designs, technical source-to-target mapping, data analysis, test plans, test cases, reporting as well as Development/QA/UAT support. Perform testing duties which may involve reviewing test data, creating test cases, executing testing, and monitoring/documenting results. Mentor and provide guidance to testing staff., Document, discuss and resolved business, data and analytics/reporting new project requirements and issues within the team, across functional teams, and with business stakeholders. Gather and analyze business requirements to create technical specifications like source-to-target mapping, data modelling diagrams, etc. Mining, filtering, and cleaning data in preparation of but limited to data analysis. 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