Data Analyst

Pride Global; Teletrabalho; BRL 276.000 - 387.000; Tempo integral

Resumo da oferta

A leading analytics and engineering firm is seeking a Data Analytics & Engineering Specialist to work remotely from Brazil. This role involves collaborating with Analytics and Engineering teams to enable strong analytical capabilities and improve operational efficiency. The ideal candidate will have over 2 years of experience in data engineering, proficiency in SQL, and a background in STEM fields. Experience with big data technologies and BI tools is preferred, allowing for impactful contribution to advanced analytics projects.

Qualificações

• 2+ years of experience in analytics and data engineering.
• 1+ year of experience with big data processing systems.
• Expert-level proficiency in SQL.

Responsabilidades

• Rationalize and prioritize data requests for scalable solutions.
• Execute new data flows and maintain existing pipelines daily.
• Design, develop, and maintain robust data pipelines.

Conhecimentos

SQL

Data engineering techniques

Big data processing (Hadoop, Hive, Spark)

Analytical problem-solving

Formação académica

Degree in a STEM field

Bachelor's degree in engineering, computer science, mathematics

Ferramentas

MicroStrategy

Tableau

Looker

Unix / Linux shell scripting

Python

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.