Embedded Business Analyst, Program Lead

Gather and synthesize business requirements to define future state and/or business solutions.

Develop and maintain documentation of business processes and systems.

Define epics clearly stating the user role, business requirements, business outcome and benefits.

Define quantifiable business benefits – estimates and track actual realization of benefits.

Report delivery performance metrics to the council members in council meetings.

Act as a bridge between development team and business function team.

Help resolve queries by development team promptly to ensure correct solutions are developed on time.

Work with technical team for evaluating and shaping solution proposals for business requirements.

Actively work on Sprint Planning with development team.

Create and deliver presentations to communicate findings and recommendations.

Represent the development team in council prioritization meetings

Update Jira for epics and user stories.

Track sprint progress, report impediments.

Help resolve impediments by connecting with relevant stakeholders.

Hands on work on Ad hoc Data Analytics requests (one time analysis)

Should not develop operational systems on his/her own but leverage development team for the same.

Should be able to write SQL queries on his/her own to perform Ad hoc analysis (only).

Facilitate User Acceptance Testing for the solutions developed by the development team.

Work with Information technology team for data model standardization – single source of truth.

Adhere to Enterprise Architecture, Enterprise Information Security while envisioning solutions.

Educate business users on new solutions – training.

Collaborate with cross-functional teams to drive process improvements.

Research industry trends and best practices to inform decision-making.

Engage with multiple teams and contribute on key decisions.

Expected to provide solutions to problems that apply across multiple teams.

Conduct thorough analysis of business processes and systems.

Assess the current state of the organization and identify areas for improvement.

Provide strategic direction for the integration of advanced analytics, machine learning, and AI technologies.

Select and evaluate data science tools, frameworks, and platforms to build a cohesive and efficient data science ecosystem.

Foster a collaborative environment that encourages cross-functional innovation.

Establish monitoring mechanisms to track model performance and address issues proactively.

Responsible for delivering quick / ad hoc proof of concepts and bringing data insights by using different complex data, and multiple data sources.

Responsible to Provide functional leadership for developing end-to-end solutions and offering hands-on guidance.