Analytics & BI Engineer

aiOla is a deep tech lab specializing in Conversational, Voice, and Speech AI. We develop cutting-edge ASR and TTS technologies designed for enterprise use, delivering 95%+ accuracy in any language, accent, or environment. Our solutions empower organizations to capture spoken data in real-time, structure it, and turn it into actionable insights.

About the Role

We’re looking for an Analytics & BI Engineer to join our growing data team. This role is perfect for someone who thrives at the intersection of business insight and technical execution. You’ll play a key role in uncovering data-driven insights, developing impactful dashboards, contributing to our ETL/ELT processes, and working with Snowflake as our core data warehouse.

You’ll collaborate closely with stakeholders across Product, Management, and Data Science to understand business needs and deliver scalable data solutions that drive decision-making.

Requirements:

3+ years of experience in BI, Data Analysis, or a related analytical role
B.Sc. in Industrial Engineering and Management or a related quantitative field
Strong analytical skills with a proven ability to perform advanced data querying and derive actionable insights
Proficient in SQL and Python for data querying, transformation, and automation
Hands-on experience working with Snowflake or similar cloud-based data warehouse platforms
Experience using BI tools such as Looker, Tableau, Power BI, or Metabase
Background in SAAS based company, product analytics or Data Enrichment Environment
Familiarity with ETL/ELT pipelines and data modeling concepts, including hands-on experience with dbt
Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders

Responsibilities:

Conduct deep-dive analyses to identify trends, anomalies, and actionable business insights
Translate complex business questions into clear analytical approaches and measurable metrics
Design, build, and maintain BI tools, dashboards, and data models using platforms such as Looker, Tableau, or Power BI
Write advanced SQL and Python to query, analyze, and transform large datasets
Partner with stakeholders to define KPIs, track performance, and support strategic initiatives
Work with Snowflake as our primary data warehouse for scalable data management
Contribute to the development and maintenance of ETL/ELT pipelines, ensuring data accuracy, consistency, and availability