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Job summary
A leading analytics firm is seeking a Data Analytics & Engineering Specialist to work remotely in Brazil. The successful candidate will solve complex problems, maintain data pipelines, and drive the vision for Business Intelligence. Qualifications include 2+ years in analytics, hands-on big data experience, and proficiency in SQL. A Bachelor's degree in a STEM field is preferred. This role promotes operational excellence and requires a strong technical background.
Qualifications
- 2+ years of experience in analytics and data engineering.
- 1+ year of experience with big data processing systems.
- Expert-level proficiency in SQL.
Responsibilities
- Rationalize and prioritize data requests.
- Execute new data flows and maintain existing pipelines.
- Design and maintain robust, efficient data pipelines.
- Define and execute a roadmap for Business Intelligence.
- Support advanced analytics and big data use cases.
Skills
Education
Tools
We're looking for a Data Analytics & Engineering Specialist in Brazil!!
Location: Remote (Brazil)
Employment Type: PJ - Open Ended
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.
- 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.
- 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.
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.