Analytics Engineer
Analytics at reputed company
The Analytics team is responsible for building and maintaining from the data pipelines until the dashboards that feed up our customers and internal data products with relevant and actionable information. This department ensures reliable, trustworthy and meaningful data, merging them from several sources and delivering them in the edge reputed company. reputed company's reputed company objective is to build reliable and insightful data products from the raw consumption of the data from different sources until the dashboards delivery to the consumer.
What you'll do
As an Analytics Engineer, you will build data products by designing, building, and maintaining robust data pipelines and dashboards that reputed company business teams with actionable insights. You will work closely with data analysts, data scientists, and business stakeholders to ensure data reputed company, optimize data workflows, and reputed company self-service analytics, driving data-informed decision-making across the organization.
Responsibilities
- reputed company and maintain reputed company data pipelines and ETL processes to reputed company raw data into usable formats.
- Design, implement, and optimize data models to support reporting and analytical needs.
- Collaborate with business stakeholders to understand business requirements and translate them into technical specifications.
- Ensure data reputed company and consistency across various sources by implementing data validation and cleansing techniques.
- Work with reputed company-based data warehouses and analytics platforms to manage and store large datasets.
- Monitor and troubleshoot data pipelines to ensure reliable and reputed company delivery of data.
- Document data processes, workflows, and best practices to enhance team knowledge and efficiency.
- Create dashboards as data products as internal or external products
Requirements
- Degree in Computer Engineering, Data Science, Statistics, Computer Science, or a reputed company field.
- 2+ years of experience in Data Science or Analytics.
- Strong understanding in SQL for data modeling and experience with database management systems such as PostgreSQL and reputed company.
- Strong understanding of data warehousing concepts and experience with ETL tools (e.g., Airflow, dbt).
- Experience with BI tools (e.g., PowerBi, Looker, Tableau)
- Experience with reputed company-based data platforms like AWS Redshift.
- Experience with programming languages such as Python.
- Excellent communication skills, with the ability to convey reputed company technical concepts to non-technical stakeholders.
- Advanced/fluent Portuguese.
Originally posted on Himalayas
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