Data Analyst

Pride Global; Teletrabalho; BRL 120.000 - 180.000; Tempo integral

Resumo da oferta

A leading data solutions provider is seeking a Data Analytics & Engineering Specialist to work remotely in Brazil. The ideal candidate is a self-starter who will bridge the Analytics and Engineering teams, ensuring data-driven insights and operational excellence. Responsibilities include managing data pipelines, implementing BI strategies, and supporting advanced analytics. Candidates should have extensive experience with SQL, big data systems like Hadoop and Spark, and a degree in a STEM field.

Qualificações

• 2+ years of experience in analytics and data engineering.
• 1+ year of hands-on experience with big data processing systems.
• Expert-level proficiency in SQL.
• Proven ability to lead strategic projects.

Responsabilidades

• Rationalize and prioritize data requests.
• Execute new data flows and maintain existing pipelines.
• Design and maintain robust data pipelines.
• Drive the vision for Business Intelligence across business lines.
• Evolve analytical data ecosystems to support advanced analytics.

Conhecimentos

SQL

Data engineering

Big data processing

Problem solving

Project management

Formação académica

Bachelor's degree in a STEM field

Ferramentas

Hadoop

Hive

Spark

MicroStrategy

Tableau

Looker

Python

Unix/Linux

Descrição da oferta de emprego

We're looking for a Data Analytics & Engineering Specialist in Brazil!!

Location: Remote (Brazil)

Employment Type: PJ - Open Ended

About the Role

We are looking for a gritty problem solver and self-starter who will serve as a key interface between the Analytics and Engineering teams. In this role, you will deeply understand the needs of analytics stakeholders, anticipate future requirements, and partner closely with Data Engineers to identify, vet, and prioritize upstream data. Your mission is to enable strong analytical capabilities, drive operational excellence, and improve efficiency across data partnerships.

What You’ll Do

• Rationalize and prioritize data requests, designing ideal and scalable solutions.
• Execute new data flows and maintain existing pipelines on a daily basis.
• Design, develop, and maintain robust, efficient data pipelines that support multiple use cases with minimal incremental effort.
• Drive the vision for Business Intelligence (BI) and Data Warehousing across all business lines, defining and executing a roadmap to achieve that vision.
• Evolve analytical data ecosystems to support advanced analytics and big data use cases.

Minimum Qualifications

• 2+ years of experience in analytics and data engineering.
• 1+ year of hands-on experience with big data processing systems such as Hadoop, Hive, Spark, or similar technologies.
• Expert-level proficiency in SQL.
• Proven ability to design and lead time-sensitive, strategic projects involving methodology development, analysis, and presentation of insights and recommendations.

Preferred Qualifications

• Degree in a STEM field (Engineering, Computer Science, Mathematics, or related area).
• Experience with BI and data visualization tools such as MicroStrategy, Tableau, Looker, or similar platforms.
• Experience with Unix / Linux shell scripting and Python.
• Strong database performance tuning and optimization skills.

Education

• Bachelor’s degree in engineering, computer science, mathematics, or related field preferred.