The Senior Technical Analyst will analyze requirements, collaborate with stakeholders, develop data solutions, ensure quality, and support implementation efforts.
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.
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.
Job Description:
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.
Location:
MumbaiBrand:
MerkleTime Type:
Full timeContract Type:
PermanentTop Skills
Agile
APIs
BigQuery
Cloud Platforms
Confluence
Data Pipelines
GCP
JIRA
SQL
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