Job
Description
Role Overview: You will be responsible for bridging the gap between business stakeholders and the technical team to drive the development of scalable data-driven products and solutions. Your role will involve analyzing requirements, defining product features, conducting data validation, coordinating with cross-functional teams, leading user acceptance testing, engaging with stakeholders, fostering team collaboration, and supporting implementation and go-live activities. Key Responsibilities: - Analyze and critically evaluate client-provided technical and functional requirements. - Collaborate with stakeholders to identify gaps, ambiguities, and areas needing clarification. - Partner with stakeholders to align business objectives with data capabilities and develop a roadmap for new data features and enhancements. - Contribute to defining and prioritizing product features with technical architects and cross-functional teams. - Conduct data validation, profiling, and exploratory analysis to ensure data accuracy and usability. - Develop detailed user stories, use cases, workflows, and acceptance criteria for development teams. - Conduct user acceptance testing (UAT) by defining test cases and validating deliverables. - Serve as the primary interface between clients, vendors, and internal teams throughout the project lifecycle. - Guide cross-functional teams to foster collaboration and high performance. - Oversee development and implementation phases to ensure deliverables meet quality standards and timelines. Qualifications and Skills: - Bachelor's degree in computer science, information technology, business administration, or a related field; master's degree preferred. - 4-5 years of experience managing technology-driven projects, with at least 3 years as a Technical Business Analyst or equivalent. - Strong experience in SQL (preferably BigQuery), data modeling, and data analysis for large-scale datasets. - Hands-on knowledge of Cloud Platforms (preferably GCP) focusing on data engineering solutions. - Familiarity with APIs, data pipelines, workflow orchestration, and automation. - Deep understanding of Agile/Scrum methodologies and experience with Agile tools (e.g., Jira, Confluence). - Exceptional problem-solving, critical-thinking, and decision-making skills. - Excellent communication, presentation, and stakeholder management abilities to simplify technical concepts for non-technical audiences. Role Overview: You will be responsible for bridging the gap between business stakeholders and the technical team to drive the development of scalable data-driven products and solutions. Your role will involve analyzing requirements, defining product features, conducting data validation, coordinating with cross-functional teams, leading user acceptance testing, engaging with stakeholders, fostering team collaboration, and supporting implementation and go-live activities. Key Responsibilities: - Analyze and critically evaluate client-provided technical and functional requirements. - Collaborate with stakeholders to identify gaps, ambiguities, and areas needing clarification. - Partner with stakeholders to align business objectives with data capabilities and develop a roadmap for new data features and enhancements. - Contribute to defining and prioritizing product features with technical architects and cross-functional teams. - Conduct data validation, profiling, and exploratory analysis to ensure data accuracy and usability. - Develop detailed user stories, use cases, workflows, and acceptance criteria for development teams. - Conduct user acceptance testing (UAT) by defining test cases and validating deliverables. - Serve as the primary interface between clients, vendors, and internal teams throughout the project lifecycle. - Guide cross-functional teams to foster collaboration and high performance. - Oversee development and implementation phases to ensure deliverables meet quality standards and timelines. Qualifications and Skills: - Bachelor's degree in computer science, information technology, business administration, or a related field; master's degree preferred. - 4-5 years of experience managing technology-driven projects, with at least 3 years as a Technical Business Analyst or equivalent. - Strong experience in SQL (preferably BigQuery), data modeling, and data analysis for large-scale datasets. - Hands-on knowledge of Cloud Platforms (preferably GCP) focusing on data engineering solutions. - Familiarity with APIs, data pipelines, workflow orchestration, and automation. - Deep understanding of Agile/Scrum methodologies and experience with Agile tools (e.g., Jira, Confluence). - Exceptional problem-solving, critical-thinking, and decision-making skills. - Excellent communication, presentation, and stakeholder management abilities to simplify technical concepts for non-technical audiences.
