Data Analyst

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

Resumo da oferta

A leading data analytics firm is seeking a Data Analytics & Engineering Specialist for a remote position in Brazil. The ideal candidate will have 2+ years of experience in analytics and data engineering, with proven problem-solving skills. They should be an expert in SQL and have hands-on experience with big data processing systems. Responsibilities include managing data requests, maintaining data pipelines, and evolving data ecosystems to enhance analytical capabilities. This role offers the opportunity to drive business intelligence initiatives across various business lines.

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, designing scalable solutions.
• Execute new data flows and maintain existing pipelines daily.
• Design, develop, and maintain robust data pipelines.

Conhecimentos

SQL

Big data processing systems (Hadoop, Hive, Spark)

Data visualization tools (MicroStrategy, Tableau, Looker)

Unix / Linux shell scripting

Python

Formação académica

Bachelor’s degree in engineering, computer science, mathematics

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.