BI SME (Supply Chain Analytics)

Role & responsibilities

1. Serve as a BI SME with domain expertise in Supply Chain Analytics.
2. Lead BI initiatives and Power Cells (future) to deliver impactful analytics solutions.
3. Collaborate with scrum Master to ensure Agile delivery practices are followed
4. Collaborate with Scrum Master to highlight the blockers to various stakeholders
5. Collaborate closely with Product Owners and business stakeholders to align on priorities and deliver value.
6. Ensure timely and high-quality outcomes.
7. Review the Design and implement robust data models to support scalable analytics.
8. Oversee solution design, ensuring alignment with enterprise architecture and business needs.
9. Provide strategic guidance to teams, removing blockers and ensuring alignment with business goals.
10. Guide the team to develop and execute data strategies, governance frameworks, and process improvements.
11. Align resourcing strategies with project timelines, business priorities, and capacity planning.
12. Identify skill gaps and collaborate with leadership to onboard and upskill team members.

Key Skills

• Business Intelligence Tools , Analytics + Data engineering :
• Hands-on experience on Data engineering, Analytics, experience or knowledge on

  Power BI, Snowflake

  ,

  Matillion, Appworx. AIML-Snowflake/Databricks

  will be added advantage
• Supply Chain Analytics Planning, Order Management

  MUST

  ; good to have other modules
• Data Modelling & Architecture: Star/Snowflake Schema, Dimensional Modelling
• Agile Methodologies: Scrum, Sprint Planning, Backlog Grooming –

  MUST

• Stakeholder Collaboration: PO Engagement, Business Alignment, Communication
• Team Leadership: Mentoring, Cross-functional Team Guidance, Conflict Resolution
• Solution Design: Scalable Architecture, Performance Optimization
• Project Delivery: Timely Execution, Risk Mitigation, Continuous Improvement

Soft Skills

• Strategic Thinking: Ability to align analytics initiatives with business goals
• Problem Solving: Proactive in identifying and resolving blockers
• Communication: Clear and effective communicator across technical and non-technical teams
• Collaboration: Strong team player with a focus on shared success
• Adaptability: Comfortable navigating change and ambiguity in dynamic environments
• Leadership: Inspires and guides teams toward high performance
• Time Management: Prioritizes tasks effectively to meet deadlines
• Attention to Detail: Ensures accuracy and quality in data and reporting