Data Analyst
Job Title: Data Analyst
Location: Remote
Contract Duration : 06+ Months (Remote to Start)
Job Description :
Job summary - Data analyst profile with good SQL scripting back ground. Should be able to understand mapping and validate E2E flow
Technical Skills - Apache Hadoop
Nice to have skills
Technical Skills - Oracle, SQL Scripting, Unix Shell Scripting, Core Java, Datastage Admin, ETL Validation
Roles & Responsibilities
- Sr. Test Analyst Bachelors in science , engineering or equivalent.
• Understand detailed requirements, create the test strategy, test plan and test cases, analyze defects and monitor metrics WITH THE OBJECTIVE of driving testing effectiveness WITHIN the client and project specifications.
• Knowledge Transition - Understand the high-level requirements and customer technology landscape (ETL/ BI tools) through review of documents (e.g. Component Design Document/ Requirements document)
• Document the understanding as part of the reverse KT Seek sign-off from the client Partner with the Business Analyst to provide suggestions on the requirements to drive clarity based on experience in earlier projects Update/Review KT documents created by Test Analyst Seek review of updated documents with Business Analyst Create an induction manual and share it with the onsite on need basis.
• Test Requirements - Study Organize and drive the requirement walkthrough session.
• Analyze the requirements and brainstorm with the team to identify the gaps.
• Validate the requirements for testability Identify the preliminary test data requirements
• Seek clarification on requirement if any and update the clarification tracker with the same
• Prepare/Review the data flow diagrams Seek clarification on the requirements from the customer and participate in the requirement discussion with the customer , if required.
• Perform Proof of concepts or evaluate different tools( ETL/BI Tools) if required.
• Prepare high level flow documents, if required.
• Document of understanding and Requirement Traceability Matrix based on further inputs received from the customer during the study phase Share updated documents with the stakeholders.
• Follow-up on query logs & ensure inputs from query logs are incorporated into KT documents.
• EIM QA : Seek inputs from the stakeholders on the data sources and the quality of data.
• Gather inputs on the data source analysis and data profiling results from the client.