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Plena Alimentos

Data Analyst, Mid-level

Plena Alimentos

Data Analyst at Plena Alimentos supporting data management and quality initiatives within the data environment. Engaging with business areas to identify needs and improve data governance processes.

Posted 7/14/2026full-timeContagem • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, structuring, and provisioning, with a strong focus on data governance, quality, and integration across various systems. Proficient in building data pipelines and implementing effective data management models.

Highest-signal resume keywords
Data AnalysisETL/ELT ProcessesPython or RSQLData Governance

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data StructuringData ProcessingData ProvisioningData CleansingData ValidationData QualityData Warehouse ConceptsData Lake Concepts
Soft Skills
Interpersonal CommunicationCollaboration
Tools & Technologies
AWSAzureGCPDatabases
Industry Keywords
Data ManagementInformation SystemsData IntegrationSingle Source of Truth

Tech Stack

Tools & technologies
AWSAzureETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Map the current data environment, identifying sources, flows, pain points and opportunities for improvement.
  • Support the design and implementation of a more structured model for data management and provisioning.
  • Work on building and improving data pipelines, including data collection, transformation and provisioning.
  • Contribute to the centralization of information, supporting the creation of a single source of truth.
  • Work on data cleansing, validation, quality and governance.
  • Support the integration of data from different systems, spreadsheets, databases and other sources.
  • Interact with business areas to understand requests, needs and opportunities related to the use of data.

Requirements

What you’ll need
  • Bachelor's degree in Systems Engineering, Information Systems or a related field.
  • Previous experience in data analysis, structuring, processing and provisioning.
  • Knowledge of Python or R for data analysis.
  • Experience with ETL/ELT processes.
  • Knowledge of Data Warehouse and/or Data Lake concepts.
  • Experience with databases and SQL.
  • Knowledge of data governance and data quality.
  • Experience with cloud environments such as AWS, Azure or GCP is a plus.

Benefits

Comp & perks
  • Company-provided meals.
  • Meal voucher (Ticket Alimentação).
  • Christmas gift kit.
  • Health insurance (Unimed) with co-payment.
  • Dental plan (Odontoprev).
  • Life insurance.
  • Gerando com Felicidade (program for expectant parents).
  • Funeral assistance.
  • Discounts on Petsko products.
  • Wellhub (access to gyms and wellness spaces).
  • Clube Sesi benefits.
  • Discounts at educational and language institutions.
  • Onhappy (discounted leisure travel).
  • Flexible working hours.
  • Transportation voucher or free parking.