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DECO PROteste

Senior Data Analyst

DECO PROteste

Consumer Services · 201-500 employees

Jul 23
Mid (2-5 yrs) Full-time
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About the role

Design, develop, and maintain data pipelines in Databricks while transforming large datasets for analytics. Build and maintain Power BI dashboards and reports to translate business requirements into actionable data insights.

What they look for

Databricks Power BI SQL Python Spark Data Pipelines ETL ELT Data Modeling DAX Azure Data Governance Data Quality Business Intelligence Communication Critical Thinking

Requirements

Requires 4+ years of experience in data analytics with strong proficiency in Databricks, SQL, and Power BI. Candidates should have experience with ETL/ELT pipelines and cloud platforms, preferably Azure.

Full description

Role Overview

We are looking for an experienced Data Analyst with strong expertise in Databricks and Power BI to support data-driven decision-making. The ideal candidate combines strong analytical thinking with hands-on experience in modern data platforms and visualization.

Key Responsibilities

Design, develop, and maintain data pipelines in Databricks (Spark/SQL/Python)

Transform and prepare large datasets for analytics and reporting

Build and maintain Power BI dashboards and reports

Create Semantic models

Optimize data models and ensure high performance

Translate business requirements into data insights

Collaborate with data engineers, stakeholders, and business teams

Ensure data quality, governance, and documentation

Required Skills & Experience

4+ years of experience in data analytics

Strong experience with Databricks (Delta Lake, Spark, notebooks)

Advanced Power BI development (DAX, data modeling, performance tuning)

Proficiency in SQL (must-have)

Experience with Python or Spark

Strong understanding of ETL/ELT pipelines

Experience working with cloud platforms (Azure preferred)

Experience in Business Intelligence

Strong communication Skills

Fluent in English

We value

Experience with Azure Data Factory / Synapse

Knowledge of data governance and data quality frameworks

Experience in self-service analytics environment

Soft Skills

Strong communication and stakeholder engagement

Problem-solving mindset

Ability to work autonomously

Business-oriented thinking

Critical Thinking