Prodege - Analytics Engineer I - SQL

Analytics Engineer I plays a key role in supporting the organization's BI systems and data platforms.

This individual will focus on learning and assisting with tasks related to data quality, operational efficiency, and real-time analytics.

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 :
• 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

(ref : hirist.tech)