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Data Analyst
Job summary
A prominent global staffing firm is seeking a Data Analytics & Engineering Specialist based in Brazil. This remote role focuses on designing and maintaining data pipelines, prioritizing data requests, and driving business intelligence initiatives. Candidates should possess 2+ years in analytics and data engineering, with expertise in SQL and experience with big data processing systems. A degree in a STEM field is preferred. Strong problem-solving skills and project management experience are essential for success in this role.
Qualifications
- 2+ years of experience in analytics and data engineering.
- 1+ year of hands-on experience with big data processing systems.
- Expert-level SQL proficiency.
Responsibilities
- Rationalize and prioritize data requests, designing scalable solutions.
- Maintain existing data pipelines daily.
- Design and develop efficient data pipelines.
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.