Responsible for transforming raw data into scalable, trusted datasets
Delivering high-impact analytics solutions through BI visualization platform
Design, build, and maintain scalable data models (dimensional, star/snowflake schemas)
Develop and optimize SQL / PL-SQL transformations for analytics consumption
Implement and manage semantic layers to standardize business logic and metrics
Ensure data quality, consistency, and governance across datasets
Develop and maintain dashboards, liveboards, and search-driven analytics (preferably in ThoughtSpot)
Translate business requirements into intuitive, self-service analytics solutions
Partner with stakeholders to define KPIs, metrics, and reporting standards
Work within Snowflake for data modeling, performance tuning, and cost optimization
Collaborate with data engineering teams on data pipelines and ingestion frameworks
Optimize query performance and warehouse utilization
Support embedded analytics use cases (APIs, SDKs, or iframe-based integrations)
Enable external and internal users with governed, scalable analytics access
Drive adoption of BI tools through best practices and training
Define and enforce standards for:
Data modeling
Naming conventions
Metric definitions
Contribute to data cataloging and documentation

4+ years of experience in analytics engineering, BI development, or data analysis
Strong proficiency in SQL (required)
Hands-on experience with modern BI tools (ThoughtSpot strongly preferred; alternatives include Tableau, Power BI, Looker)
Proven experience designing semantic layers / business models
Experience working with Snowflake or similar cloud data platforms
Strong understanding of:
Data warehousing concepts
Dimensional modeling
Data governance practices
Strong stakeholder communication and business translation skills
Ability to operate in a cross-functional environment (Product, Data Engineering, Business)
Proactive problem-solving with a focus on scalability and usability

BI & Analytics Engineer

Key skills