Senior Data Analyst – Azure, Databricks

🔥 3 minutes ago

🗣️🇧🇷🇵🇹 Portuguese Required

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Keyrus

1001 - 5000 employees

Founded 1996

🤝 B2B

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.

📋 Description

• Define, build and evolve business metrics and KPIs. • Translate business needs into data transformation and modeling rules. • Standardize and document business rules. • Develop and maintain data pipelines and transformations in an Azure environment. • Ensure the quality, consistency and reliability of information used by business areas. • Perform exploratory analyses to identify opportunities, inconsistencies and improvements. • Collaborate with Data Engineering, Analytics teams and business stakeholders. • Support the evolution of the analytics layer and metrics governance.

🎯 Requirements

• Solid experience as a Data Analyst, Analytics Engineer or in related roles. • Strong proficiency in SQL. • Experience with Azure Databricks. • Knowledge of the Microsoft Azure ecosystem (Data Lake, Azure Data Factory, Synapse or related services). • Experience in data transformation and modeling. • Experience defining KPIs and business metrics. • Ability to translate business rules into analytical solutions. • Knowledge of dimensional modeling. • Experience working with large volumes of data.

🏖️ Benefits

• Work with a multicultural team • Professional development opportunities • Flexible work arrangements

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