Data Analyst Azure (Hybrid)

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profile Job Location:

Porto - Portugal

profile Monthly Salary: Not Disclosed
Posted on: 24 days ago
Vacancies: 1 Vacancy

Job Summary

DATA ANALYST / AZURE (HYBRID PORTO)

Portuguesecompany hires for hybrid position
Location: Porto Portugal (Hybrid 2xper week in the office)
Candidatesmust already live in Portugal
LanguageRequirements: English and Portuguese (fluency required)
Seniority:Minimum 5 years
Sector: Automotive Technology
Instructions:Please send your CVs in English and make sure to include all skills andexperience that match the requirements of the opportunity. This willsignificantly increase your chances of success

About the Role

We are seeking an experienced Data Analyst (Azure) tojoin our analytics and AI team in the automotivetechnology selected professional will play a key role in transforming business needsinto data-driven insights supporting the evolution of analytical capabilitiesand fostering a data culture across the organization.

If youre passionate about analyticscloud-based data solutions and using data to generate real business impactthis role is an excellent opportunity to join a dynamic and innovativeenvironment.

Main Responsibilities

RequirementsAnalysis: Work closely with business stakeholders to understandtheir goals pain points and challenges.

UseCase Definition: Translate business problems into actionableuse cases and detailed functional/technical requirements for the data engineeringteam.

DataExploration & Quality: Perform exploratory analysesidentify data sources validate hypotheses and ensure data accuracy andconsistency.

DataStorytelling: Create insightful dashboards reports and visualizationsthat effectively communicate trends patterns and opportunities.

Collaboration:Partner with Data Engineers DataScientists and Product Owners to deliver value-orientedscalable solutions.

Documentation:Maintain structured documentation of requirements data flows and analyticalfindings.

AI& Analytics Advocacy: Promote data-driven decision-makingand support the adoption of AI-basedsolutions across the organization.

Mandatory Requirements

To be considered for this position yourCV must clearly include the following:

Universitydegree in Engineering Mathematics Statistics Economics DataScience or related fields;

5years of experience as a DataAnalyst in cloud-based environments (preferably Azure);

Proven hands-on experience with Microsoft Azure tools:
* Azure Data Lake Storage
* Azure Synapse Analytics
* Azure SQL Database
* Azure Data Factory(including data pipeline understanding);

AdvancedSQL proficiency for data manipulation and analysis;

Strong analyticaland problem-solving skills;

Excellent communication skills with the abilityto translate complex data concepts to non-technical audiences;

Proven ability to work collaboratively incross-functional teams;

Fluencyin English and Portuguese (written and spoken).

Valued Certifications (Niceto Have)

Microsoft Certified: Azure Data Fundamentals (DP-900)

Microsoft Certified: Data Analyst Associate (DA-100 / PL-300)

Microsoft Certified: Enterprise Data Analyst Associate(DP-500)

Soft Skills

Strong businessacumen and capacity to connect data insights to strategicdecisions;

High attention to detail and a structured analytical mindset;

Excellent interpersonal skills and team-oriented attitude;

Proactive curious and eager to continuouslyimprove and learn;

Comfortable working in agile and fast-paced environments.

Keywords to Include in YourCV

Data Analyst Azure Azure Data Factory Azure Synapse Azure SQL Data Lake SQL Data Visualization Power BI Advanced Analytics Automotive Tech Cloud Data Data Storytelling Porto Hybrid AI Adoption Data-Driven Culture

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Required Experience:

IC

DATA ANALYST / AZURE (HYBRID PORTO)Portuguesecompany hires for hybrid position Location: Porto Portugal (Hybrid 2xper week in the office) Candidatesmust already live in Portugal LanguageRequirements: English and Portuguese (fluency required) Seniority:Minimum 5 years Sector: Automotive Technology I...
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Key Skills

  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Data Visualization
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics