Keyrus
B2B • Data Analytics • Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
1001 - 5000 employees
Founded 1996
🤝 B2B
Data Business Analyst
Job not on LinkedIn
October 8
🗣️🇧🇷🇵🇹 Portuguese Required
Keyrus
B2B • Data Analytics • Consulting
Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.
1001 - 5000 employees
Founded 1996
🤝 B2B
📋 Description
• Act as a liaison between business stakeholders and the technical team • Gather requirements and define KPIs • Design and structure data capture and processing flows • Deliver dashboards and analyses using Power BI
🎯 Requirements
• Strong knowledge of PySpark and SQL • Experience with Databricks • Experience with BI tools (Power BI, Tableau, or QlikView) • Familiarity with Medallion architecture and Lakehouse • Knowledge of data orchestration tools (Airflow, Azure Data Factory, Control-M, NiFi, or Pentaho) • Experience with batch data loads • Advanced knowledge of Apache Airflow (preferred) • Experience with Spark Structured Streaming (preferred) • Fluent English (spoken and written)
🏖️ Benefits
• Strong emphasis on diversity and inclusion throughout the hiring process • Talented and passionate team
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