We are seeking a highly skilled and motivated Senior Technical Analyst to join our team.
This role requires a combination of business acumen, data expertise, and technical proficiency to drive the development of scalable data-driven products and solutions. The ideal candidate will bridge the gap between business stakeholders and the technical team, ensuring the delivery of robust, scalable, and actionable data solutions.
Key Responsibilities:
Requirement Analysis and Review:
- 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.
- Document and communicate a clear understanding of requirements to internal teams, ensuring alignment with project objectives.
Product Definition, Execution & Coordination:
- Contribute to activities for defining and prioritizing product features in collaboration with technical architects and cross-functional teams (solution architects, product managers, data engineers, data science) based on requirements.
- Conduct data validation, profiling, and exploratory analysis to ensure data accuracy, integrity, and usability.
- Understand and document API interactions, data integrations, and cloud-based data architectures.
- Develop detailed user stories, use cases, workflows, and acceptance criteria to guide development teams.
- Work with data engineering teams to define data pipelines, ETL processes, and data models for structured and unstructured data.
Testing & Quality Assurance
- Conduct user acceptance testing (UAT) by defining test cases and validating deliverables.
- Ensure solutions meet performance, scalability, and security requirements before deployment.
- Support troubleshooting and debugging during development and post-deployment phases.
Stakeholder Engagement:
- Serve as the primary interface between clients, vendors, and internal teams throughout the project lifecycle.
- Facilitate discussions to resolve questions, address conflicts, and ensure alignment on project goals.
- Provide regular and transparent updates on project status, risks, challenges, and achievements to all stakeholders.
Team Leadership and Collaboration:
- Guide cross-functional teams, including product managers, data engineers, analysts, fostering collaboration and high performance.
- Collaborate with onsite team member making sure that client commitments are delivered seamlessly.
- Drive accountability and ensure that deliverables meet quality standards and timelines.
- Promote a culture of continuous improvement by encouraging feedback, innovation, and process optimization.
Support Implementation and Go-Live:
- Oversee development and implementation phases to ensure deliverables align with business and technical requirements.
- Participate in end-to-end testing, validation, and quality assurance processes.
- Support go-live activities, including end-user training, documentation, and troubleshooting to ensure a smooth transition.
Qualifications and Skills:
- Bachelor s degree in computer science, information Technology, Business Administration, or a related field. A master s degree (e.g., MBA in Systems or Technology) is preferred.
- 4-5 years experience managing technology-driven projects, with at least 3 years as a Technical Business Analyst or equivalent role.
- Strong experience in SQL (pref. BigQuery), data modeling, and data analysis for large-scale datasets.
- Hands-on knowledge of Cloud Platforms (pref. GCP) with a focus 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, including the ability to simplify technical concepts for non-technical audiences.
