Data Analyst Bucharest

Data Analyst
Bucureşti
Bucharest, Bucharest, Romania

Data Analyst (Power BI) | Remote | Long-Term Contract

Role Overview

We are seeking an experienced Data Analyst (Power BI) to join an ongoing,
- term project focused on data processing, transformation, and visualization using Microsoft Azure services. The ideal candidate will have strong expertise in Power BI, Python, and Azure Data Factory (ADF), with experience in building and optimizing data pipelines for seamless data ingestion and transformation.

Key Details

Location: EU, UK, or Serbia

Start Date: End of March 2025

Contract Duration: Long-term (Ongoing Project)

Budget: Up to 35/hour

Working Method: Remote

Key Responsibilities

Data Pipeline Development & Optimization:

Build and optimize data flows for processing data from Azure storage containers.

Develop data ingestion, transformation, and loading processes using Python.

Implement scheduled pipeline runs in Azure Data Factory (ADF).

Automation & Deployment:

Deploy and automate data pipelines via Azure Dev
Ops.

Ensure smooth integration with data visualization platforms (e. g. , Power BI, Qlik).

Collaboration & Agile Methodology:

Work within an Agile environment, collaborating with
- functional teams.

Support data governance and optimization strategies.

Required Skills & Experience

Strong experience in Power BI for data visualization and reporting.

Proficiency in Python for data transformation and automation.

Hands-on experience with Microsoft Azure services, including:

Azure Data Factory (ADF) for scheduled data pipeline runs.

Azure Storage for data processing.

Azure Dev
Ops for deployment and automation.

Familiarity with Agile methodologies and working in
- paced environments.

Why Join?

Fully remote position with
- term project stability.

Work with
- edge data processing and visualization technologies.

Competitive budget of up to 35/hour.

Opportunity to contribute to
- impact data solutions in a dynamic environment.

If you are a skilled Data Analyst with Power BI expertise and a passion for data optimization, wed love to hear from you!