The position requires a highly seasoned Senior Business Intelligence Consultant with strong expertise across semantic data modelling, data integration, management, delivery, and user-centered information consumption.
The ideal candidate will have led multiple enterprise-scale initiatives across the full software development lifecycle, with a primary focus on modern BI architecture & semantic layer design, platform evolution, and analytics enablement.
This individual will play a critical role in designing and scaling solutions that support strategic decision-making across the organization.
Required Skills –
- Balanced mix of technical and business skills
- Strong abilities in problem identification and solving
- Strategic direction – both conforming to and helping to define
- Proficient with BI technologies (Power BI, ThoughtSpot, Tableau, etc.)
- Proficient with Dimensional modelling (Star Schema, Snowflake Schema etc.)
- Fully capable of designing and verifying semantic models, analytics frameworks, and OLAP strategies
- Database design for large-scale analytical workloads with performance tuning and optimization
- Proficient with SQL, report forms, consumption devices, usage analytics, and access models
- Ability to evaluate architectural design options and provide actionable recommendations
- Strong communication and interpersonal skills
- Ability to instill and reinforce a strong customer service and business-oriented ethic in the entire team
- Ability to balance between data governance, technical feasibility, and business agility
- Strong management and leadership skills with a proactive participative management style
- Ability to work well and productively, always projecting a positive outlook in a fast-paced environment
Good to have –
- Enterprise Data Management experience (data catalogues, metadata, lineage)
- Requirements planning, formulation, and documentation
- Subject Matter Expertise in enterprise portfolio and project data, R&D analytics, or strategic planning systems
Responsibilities:
- Design and evolve BI Semantic model and BI solution that supports dynamic decision-making across functional leadership
- Work with solution and enterprise architects to define scope, architectural boundaries, and integration points
- Serve as liaison to business and analytics communities to ensure solution designs reflect true stakeholder needs
- Review prototypes, solution blueprints, and project milestones to validate business alignment
- Raise awareness of architectural vision and collaborate with change management to support adoption strategies
- Collaborate with end users to identify needs and opportunities for improved analytics consumption and data storytelling
- Work closely with engineering and QA teams to ensure architectural integrity through implementation
- Improve and streamline data flow, quality, and governance processes to maximize analytic value and trust
- Stay current with BI and data architecture trends;
educate leadership on innovations and assess organizational fit