Business Analyst with a blend of project management, Scrum, and change management expertise plays a crucial role in driving successful project outcomes. This role involves gathering, analysing, and documenting business requirements to ensure alignment with organisational objectives. Acting as a liaison between stakeholders and technical teams, the Business Analyst facilitates effective communication and ensures requirements are translated into functional specifications. With foundational Scrum skills, they contribute to Agile processes, support sprint planning, and aid in backlog refinement. Additionally, they help manage change by assessing impacts, preparing teams for transitions, and fostering stakeholder buy-in to minimise disruption.
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Role Purpose
The purpose of the role is to facilitate visual interpretation of data from multiple sources and use this information to develop data driven solutions as per the client's requirements.
Do
- Develop valuable insights from multiple data source as per client requirements
- Customer engagement and requirements gathering
- Understand customer needs and objectives, technology trends and requirements to define how data will be seen as final output
- Develop wireframes, prototypes, use cases in order to demonstrate the final data output as is required by customer
- Customer engagement and requirements gathering
- Analyse, propose and implement the data technology and tools used for data visualization
- Provide solutioning of RFPs received from clients and ensure the final data output is as per business needs
- Validate the solution/ prototype from technology, cost structure and customer differentiation point of view
- Design and Implementation of data visual aspects
- Architect and build data visualization capabilities to produce classical BI dashboards and solutions
- Create the solutions by using a variety of data mining/data analysis methods, variety of data tools, data models and data semantics
- Contribute to the design and implementation of the data platform architecture related to data visualization needs
- Collaborate with other data architects to establish and run a data governance processes
- Manage metadata, semantic layer data on data domains and other enterprise data assets
- Identify problem areas and perform root cause analysis of overall data flow and provide relevant solutions to the problem
- Enable Pre-Sales Team
- Support pre-sales team while presenting the entire data design and its principles to the client
- Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create visual data output as proposed
- Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor
- Capability Building and Team Management
- Ensure completion of necessary trainings and certifications
- Develop and present a point of view of Wipro on data visualization concepts and architect by writing white papers, blogs etc.
- Be the voice of Wipro's Thought Leadership by speaking in forums (internal and external)
- Mentor developers, designers and Junior architects for their further career development and enhancement
- Anticipate new talent requirements as per the market/ industry trends or client requirements
- Hire adequate and right resources for the team
- Contribute to the data visualization practice by conducting selection interviews etc
Stakeholder Interaction
Stakeholder TypeStakeholder IdentificationPurpose of InteractionInternalDelivery teams-onshore and OffshoreReview of architectural process, escalation management, issue resolutionPre-sales teamFor solutioning and architectural design purposeBusiness AnalystsFor requirements gatheringData Visualization TeamFor project deliveryData Testing TeamFor testing purposeData Architects and Data EngineersFor Data related inputs and queriesClientEngagement, Relationship Management and Servicing
Display
Lists the competencies required to perform this role effectively:
- Functional Competencies/ Skill
- Domain/Industry Knowledge - Awareness and knowledge of broad economic, demographic, technological and global trends within own ecosystem - Expert
- Market Intelligence - Deep specialized understanding of the ecosystem practice, overall market & competition and nuances of delivery in that domain - Master
- Systems Thinking - Understanding of the Wipro system (interrelatedness, interdependencies and boundaries) and perform problem solving in a complex environment - Expert
- Leveraging Technology - In-depth knowledge of and mastery over ecosystem technology that commands expert authority respect, understanding of data models , and visualization best practices and Tools - Master
Competency LevelsFoundationKnowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance.CompetentConsistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well.ExpertApplies the competency in all situations and is serves as a guide to others as well.MasterCoaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognised within the entire organization.
- Behavioural Competencies
- Strategic perspective
- Technology Acumen
- Quantitative analysis
- Managing Complexity
- Client centricity
- Execution excellence
- Visual Perspective
Deliver
No.Performance ParameterMeasure1.Project DeliveryQuality of design/ architecture, delivery as per cost, quality and timeline.2.Capability development% trainings and certifications completed, mentor technical teams, Contribution to Proposal, RFPs etc.3.Team ManagementTeam attrition %, Employee satisfaction score
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