They will work under the guidance of experienced BI Engineers to implement and maintain data ingestion pipelines, monitoring systems, and reporting solutions.

This role offers a great opportunity to gain hands-on experience in BI tools like Snowflake Data Cloud, Sigma Computing and develop a strong foundation in data.

NOTE : AI & ML skill mandatory with minimum 2 years experience.

Primary Objectives :

- Elicit and translate business needs: Collaborate with stakeholders to understand their data and reporting requirements, translating them into actionable technical specifications.

- Transform data into insights: Assist with designing and developing clear dashboards and visualizations, effectively communicating key business metrics and trends.

- Ensure data integrity: Maintain and optimize data pipelines ensuring accurate and timely delivery of data to external systems.

- Cultivate data expertise and stewardship: Develop a strong understanding of our data strategy, actively participating in data governance initiatives and acting as a data steward to ensure data quality, accuracy, and responsible use.

- Qualifications - To perform this job successfully, an individual must be able to perform each job duty satisfactorily.

- The requirements listed below are representative of the knowledge, skill, and/or ability required.

- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Requirements :

- Require AI/ML exposure with actual work preparing data for ML, building models, or enabling AI workflows.

- SQL and database skills are essential.

- Snowflake/dbt experience is optional if they have strong SQL and database knowledge.

- Candidates should understand the difference between OLTP and OLAP databases.

- BI/dashboard experience is important but any modern tools is acceptable (Power BI/Tableau/Omni) if there is stakeholder-facing reporting and metric visualization experience.

- Visualize insights: Create and maintain dashboards and reports that effectively communicate key business metrics and trends.

- Maintain and enhance data feeds to external partners, ensuring accurate and timely synchronization of business information

- Data Ingestion: Ingest, transform, and integrate data from various partners

- Ad-hoc reporting: respond to data requests and perform exploratory analysis to support decision-making and identify opportunities.

- Champion data quality and integrity, ensuring compliance with data governance policies and best practices