B.I & Data Analyst Brașov

B.I & Data Analyst
Braşov
Brașov, Brașov County, Romania

B. I & Data Analyst

Location: Hybrid or Remote [Brasov Area]

About the Role:

We’re looking for a highly analytical B. I & Data Analyst to join our Analytics team. You’ll play a central role in building, deploying, and maintaining data visualizations and reports that drive
- making across the business. If you thrive on turning complex data into actionable insights, enjoy collaborating across technical and business teams, and have a passion for clear, impactful reporting, we’d love to hear from you.

Responsibilities:

-Build, deploy, and maintain reports and dashboards in Looker to support business stakeholders and clients.

-Surface and query
- models to ensure reliable, accurate, and timely reporting.

-Partner with engineering teams to define, develop, and test new
- models and data connections.

-Translate business and client requirements into
- friendly data visualizations and insights.

-Proactively identify opportunities to improve data visibility, quality, and reporting efficiency.

-Provide ad hoc reporting and analysis to support
- making across teams.

-Contribute to documentation and training materials to help users adopt and maximize reporting tools.

What You’ll Bring:

-Bachelor’s degree in Business, Data Science, Engineering, or related field preferred.

-Hands-on experience with industry leading B. I tools (Looker preferred), building and deploying dashboards and reports and also writing and maintaining Look
ML

-Strong SQL skills and comfort working directly with
- models.

-Demonstrated experience collaborating with engineering teams to design and enhance data pipelines and models.

-Excellent communication skills in English, both written and spoken, with the ability to engage both technical and
- technical audiences.

-Strong
- solving mindset, attention to detail, and ability to manage multiple priorities in a
- paced environment.

Nice to Have:

-Experience with additional BI tools (e. g. , Power
BI, Google Data Studio).

-Familiarity with cloud data warehouses (e. g. , Databricks, Big
Query, Snowflake, Redshift).

-Understanding of ETL processes and data engineering concepts.

-Additional languages are a plus.