Data Analyst

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

Resumo da oferta

A leading data solutions firm in Brazil is seeking a Data Analytics & Engineering Specialist to strengthen analytical capabilities and drive operational excellence. You'll collaborate with Analytics and Data Engineering teams, focusing on data requests and analytics ecosystems. The ideal candidate has over 2 years of experience, expert SQL skills, and familiarity with big data tools like Hadoop and Spark. This remote position offers a unique opportunity to shape the business intelligence vision.

Qualificações

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

Responsabilidades

• Rationalize and prioritize data requests and solutions.
• Maintain existing data pipelines daily.
• Drive vision for Business Intelligence and Data Warehousing.
• Support advanced analytics and big data use cases.

Conhecimentos

Analytical problem solving

Strong SQL proficiency

Big data processing experience

Project management

Formação académica

Bachelor's degree in a STEM field

Ferramentas

Hadoop

Spark

Python

Tableau

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.