Analytics (BI) Engineer

Nepal, Remote. Posted 21 days ago

The role

This person will build and maintain business reports in BI tools and perform modeling and transformation with large datasets. The role supports ongoing reporting and data engineering needs.

What you will do

Develop, modify, and maintain dashboards and reports in Power BI, Tableau, and Databricks AI/BI.
Translate business requests into accurate and actionable data visualizations.
Ensure consistency in definitions, metrics, and data logic across reports.
Optimize queries and dashboards for performance and clarity.
Document logic and assumptions behind key metrics and dashboards.
Create and maintain database views, derived tables, and other analytical objects.
Perform data modeling and transformation tasks.
Troubleshoot data discrepancies and validate data accuracy across systems.
Collaborate on improvements to data structure and warehouse organization.
Lead business interactions, define standards, document KPIs, and support junior team members.

Required qualifications

4+ years of related experience in analytics/BI and data engineering.
Strong SQL proficiency (advanced querying, joins, CTEs, aggregations, window functions).
Hands-on experience with a cloud-based data warehouse.
Experience building dashboards and reports in BI tools such as Power BI, Tableau, and Databricks AI/BI.
Proven work in dashboard projects, with a focus on storytelling and usability.
Experience in a consulting or client-facing role.
Ability to interpret business requirements and translate them into technical solutions.
Strong attention to detail and data validation practices.
Bachelor’s Degree in Computer Science or Engineering related field.

Nice to have

Experience with Databricks (SQL, AI/BI, or Unity Catalog) is a strong plus.

Benefits

SunnyData pays for Databricks certification exams.
Work with cutting-edge technologies and industry leaders in data engineering and AI.
Opportunities for professional development and career advancement.

About the company

SunnyData helps customers in their data journey to power their business through scalable architectures, data engineering pipelines, and ML and AI applications.