We are seeking a highly skilled Techno-Functional Business Data Analyst with strong expertise in data analysis, data quality, and process & data mapping. The ideal candidate will bridge the gap between business stakeholders and technical teams by analysing source systems, identifying data integration needs, and supporting the design of scalable solutions and business models.
The analyst acts as a bridge between business stakeholders and technical teams. The role focuses on translating business needs into clear, detailed technical requirements while ensuring solutions are scalable, feasible, and aligned with business objectives. The TF BA collaborates closely with the business, developers, architects, and QA teams throughout the solution lifecycle.
This role requires a blend of business acumen, technical data expertise, and analytical problem-solving skills to ensure high-quality data solutions that support enterprise analytics and decision-making.
Roles and Responsibilities:
Business & Stakeholder Engagement
- Collaborate with business stakeholders to understand business problems, pain points and requirements.
- Translate business requirements into detailed functional and technical specifications.
- Facilitate workshops, interviews, and requirement-gathering sessions.
- Act as a trusted advisor by proposing solution options and trade-offs.
Requirements & Documentation
- Create and maintain artifacts such as: Business Requirement Documents (BRD), Functional Requirement Specifications (FRS), User Journeys and Acceptance Criteria, Process flows, data models, and system diagrams.
- Ensure requirements are clear, complete, testable, and traceable.
- Develop data and KPI definitions and implement these into our global data catalog.
Data Analysis & Data Mapping
- Analyze source systems to understand existing data structures
- Perform data profiling, data quality assessment, and exploratory data analysis on source systems.
- Map source-to-target data flows and define transformation logic for data pipelines, data warehouses, and analytics platforms.
- Design Data models, Entity-Relationship diagrams, and document data definitions.
- Identify data gaps, inconsistencies, and quality issues and propose remediation strategies.
- Work closely with data architects and engineers to validate source system assumptions.
Technical Collaboration
- Work with data architects, data engineers, BI developers, and solution architects to ensure accurate implementation of data requirements.
- Support data mapping discussions and participate in design reviews to ensure alignment with architecture standards.
- Assist development teams during implementation by resolving requirement-related questions.
Delivery & Quality Support
- Support sprint planning, backlog refinement, and prioritization activities.
- Validate solutions against business requirements during testing phases.
- Support UAT (User Acceptance Testing) by defining scenarios and validating outcomes.
- Identify risks, dependencies, and impacts related to proposed changes.
Continuous Improvement
- Support business users on data ownership and data quality processes and drive a data driven culture and mentality.
- Contribute to process improvements in requirement management and delivery practices.
- Maintain documentation standards and best practices.
- Support change management and impact analysis activities.
