BI & Analytics Engineer

This is a fully remote position, open to applicants in Costa Rica.

📋 Description

• Bridge the divide between the data engineering team and the analytics group.

• Convert raw data into scalable and reliable datasets.

• Provide impactful analytics solutions utilizing a modern BI visualization platform.

• Utilize a cloud data platform effectively.

• Design, construct, and sustain scalable data models (including dimensional, star, and snowflake schemas).

• Create and refine SQL / PL-SQL transformations for analytical consumption.

• Implement and oversee semantic layers to standardize business logic and metrics.

• Guarantee data quality, consistency, and governance throughout datasets.

• Develop and manage dashboards, liveboards, and search-driven analytics (preferably using ThoughtSpot).

• Convert business requirements into user-friendly, self-service analytics solutions.

• Collaborate with stakeholders to establish KPIs, metrics, and reporting standards.

• Operate within Snowflake for data modeling, performance optimization, and cost efficiency.

• Partner with data engineering teams on data pipelines and ingestion frameworks.

• Enhance query performance and warehouse utilization.

• Support embedded analytics use cases (including APIs, SDKs, or iframe-based integrations).

• Enable both external and internal users with governed, scalable access to analytics.

• Promote the adoption of BI tools through best practices and training initiatives.

• Define and uphold standards for data modeling, naming conventions, and metric definitions.

• Contribute to data cataloging and documentation efforts.

⛳️ Requirements

• Minimum of 4 years of experience in analytics engineering, BI development, or data analysis.

• Strong expertise in SQL (mandatory).

• Practical experience with modern BI tools (ThoughtSpot is highly preferred; alternatives include Tableau, Power BI, Looker).

• Demonstrated experience in designing semantic layers and business models.

• Experience with Snowflake or comparable cloud data platforms.

• Solid understanding of:

• Data warehousing principles.

• Dimensional modeling techniques.

• Data governance practices.

• Experience with embedded analytics architecture (preferred).

• Familiarity with dbt or similar transformation frameworks (preferred).

• Exposure to API-driven data access or BI integrations (preferred).

• Experience in supporting external-facing analytics products (preferred).

• Understanding of data contracts and data product thinking (preferred).

• Excellent communication skills for stakeholder engagement and business translation (soft skill).

• Ability to function in a cross-functional environment (Product, Data Engineering, Business) (soft skill).

• Proactive problem-solving skills with an emphasis on scalability and usability (soft skill).

🏝️ Benefits

• Join a friendly and supportive company where teamwork is essential.

• Collaborate with talented individuals who are dedicated to your success and development.

• Enjoy remote work as the norm, with flexible working arrangements and paid holidays.

• Receive a competitive salary along with a comprehensive benefits package starting from day one.

• Experience a fun work environment that encourages creative thinking and a positive outlook.

• Access career development opportunities.

• Benefit from an open-door policy ensuring your voice is always heard.

• Participate in a robust Employee Referral program.