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G

Data Analyst I

Grendene S/A

Data Analyst focusing on data automation and analysis to support strategic decisions at Grendene. Collaborating with a team to enhance data engineering practices.

Posted 7/31/2026full-timeSobral • BrasilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in developing data automations and solutions that enhance performance, scalability, and usability while adhering to governance and security standards. Proficient in advanced data analysis, cloud computing, and mentoring teams on data engineering best practices.

Highest-signal resume keywords
SQLCloud Computing (GCP)Data Lake ArchitecturesAirflow (Composer)Python

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 Analysis TechniquesETL ProcessesELT ProcessesPySparkDatabricks
Soft Skills
Analytical MindsetMentoringCollaborationAdaptabilityAutonomy
Certifications & Qualifications
Bachelor's Degree in Information TechnologyBachelor's Degree in Business AdministrationBachelor's Degree in Systems AnalysisBachelor's Degree in Computer ScienceBachelor's Degree in Engineering
Industry Keywords
Data PlatformData EngineeringGovernanceSecurityScalability

Tech Stack

Tools & technologies
AirflowCloudETLGoogle Cloud PlatformPySparkPythonSQL

About the role

Key responsibilities & impact
  • Develop automations on the data platform, ensuring durability, high performance and usability, in alignment with governance and security.
  • Use advanced data analysis techniques to identify patterns, trends, and actionable insights that support the company's strategic and operational decisions.
  • Maintain the data layer and its services to ensure observability, scalability and flexibility, efficiently meeting customer demands.
  • Drive engineering team efficiency by developing and implementing frameworks, methods, and standards that optimize team activities.
  • Mentor and enable colleagues on data engineering best practices to promote scalability and cloud automation, collaborating closely with all teams.
  • Translate business needs into viable, reusable data solutions, fostering a data-driven culture.
  • Formulate and validate hypotheses, adapting quickly to shifting priorities or scenarios.
  • Work autonomously while consistently leveraging team support.
  • Be responsible for the data platform, identifying and implementing requirements for improvements, optimizations and technological changes.
  • Monitor platform availability, performance, capacity and usage, proposing tactical or strategic changes as needed.
  • Analytical mindset with a hands-on approach.

Requirements

What you’ll need
  • Bachelor's degree (in progress or completed) in Information Technology, Business Administration, Systems Analysis, Computer Science, or Engineering.
  • Experience with SQL.
  • Experience with Cloud Computing, preferably GCP.
  • Experience in data load architectures and processes for Data Lake.
  • Experience with Airflow (Composer).
  • Knowledge of Python.
  • Knowledge of ETL and ELT processes.
  • Knowledge of PySpark.
  • Experience with Databricks.

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Grendene S/A Website LinkedIn All Job Openings 10,000+ employees Founded 1971 🏭 Manufacturing 👗 Fashion 🛒 Retail Manufacturing
  • Fashion
  • Retail Grendene S/A is a Brazilian footwear company and owner of multiple consumer shoe brands including Melissa, Rider, Ipanema, Grendha, Zaxy, Cartago, Pega Forte and Grendene Kids. The company designs and manufactures shoes focused on sustainability, design and comfort, and sells them through physical retail stores, international distributors/representatives and its own e-commerce channels, serving domestic and global markets across women's, men's and children's segments. Grendene also highlights sustainability initiatives, investor relations, and digital customer engagement on its website. Data Analyst I 🔥 12 minutes ago 🏢🏡 Sobral – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 📉 Data Analyst 🗣️🇧🇷🇵🇹 Portuguese Required Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • Develop automations on the data platform, ensuring durability, high performance and usability, in alignment with governance and security.
  • Use advanced data analysis techniques to identify patterns, trends, and actionable insights that support the company's strategic and operational decisions.
  • Maintain the data layer and its services to ensure observability, scalability and flexibility, efficiently meeting customer demands.
  • Drive engineering team efficiency by developing and implementing frameworks, methods, and standards that optimize team activities.
  • Mentor and enable colleagues on data engineering best practices to promote scalability and cloud automation, collaborating closely with all teams.
  • Translate business needs into viable, reusable data solutions, fostering a data-driven culture.
  • Formulate and validate hypotheses, adapting quickly to shifting priorities or scenarios.
  • Work autonomously while consistently leveraging team support.
  • Be responsible for the data platform, identifying and implementing requirements for improvements, optimizations and technological changes.
  • Monitor platform availability, performance, capacity and usage, proposing tactical or strategic changes as needed.
  • Analytical mindset with a hands-on approach. 🎯 Requirements
  • Bachelor's degree (in progress or completed) in Information Technology, Business Administration, Systems Analysis, Computer Science, or Engineering.
  • Experience with SQL.
  • Experience with Cloud Computing, preferably GCP.
  • Experience in data load architectures and processes for Data Lake.
  • Experience with Airflow (Composer).
  • Knowledge of Python.
  • Knowledge of ETL and ELT processes.
  • Knowledge of PySpark.
  • Experience with Databricks. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs