Data Analyst

Pride Global; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading data solutions provider is seeking a Data Analytics & Engineering Specialist for a remote role in Brazil. You will serve as a key interface between analytics and engineering teams, responsible for driving operational excellence and enabling strong analytical capabilities. Candidates should have 2+ years of experience in analytics and data engineering, expert-level SQL skills, and experience with big data processing systems like Hadoop or Spark. This role offers opportunities to shape business intelligence vision and data ecosystems.

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.

Responsabilidades

• Rationalize and prioritize data requests.
• Execute new data flows and maintain existing pipelines.
• Design and maintain efficient data pipelines.

Conhecimentos

Analytics and data engineering experience

SQL proficiency

Big data processing systems (Hadoop, Hive, Spark)

Problem-solving

Formação académica

Degree in a STEM field

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