We are seeking a highly skilled hybrid Data Analyst / Analytics Engineer to bridge the gap between data engineering and our analytics team. This role is responsible for transforming raw data into scalable, trusted datasets and delivering high-impact analytics solutions through our modern BI visualization platform and leveraging our cloud data platform.
The ideal candidate has strong expertise in SQL/PL-SQL, semantic layer modeling, BI development, and data platform integration (Snowflake preferred), along with experience enabling embedded analytics and self-service data capabilities.
Key Responsibilities
- Data Modeling & Transformation
- 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
- BI Development & Analytics Delivery
- 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
- Data Platform & Engineering Integration
- 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
- Embedded Analytics & Enablement
- 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
- Governance & Best Practices
- Define and enforce standards for:
- Data modeling
- Naming conventions
- Metric definitions
- Contribute to data cataloging and documentation
Required Qualifications
- 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
Preferred Qualifications
- Experience with embedded analytics architecture
- Familiarity with dbt or similar transformation frameworks
- Exposure to API-driven data access or BI integrations
- Experience supporting external-facing analytics products
- Understanding of data contracts and data product thinking
Soft Skills
- 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
