Analytics Engineer

Join Workato, a leader in enterprise automation, as an Analytics Engineer in beautiful Bali! We are seeking a data-driven professional to transform raw data into actionable insights, empowering businesses to make smarter decisions. As part of our dynamic team, you will leverage your expertise in data engineering and analytics to build scalable data pipelines and create insightful dashboards. This is your chance to work in a vibrant, international environment while contributing to cutting-edge projects.

At Workato, we pride ourselves on fostering a culture of innovation and collaboration. Our team is known for its creativity and problem-solving skills, and we are looking for someone who can bring their unique perspective to our projects. As an Analytics Engineer, you will work closely with cross-functional teams to understand business needs and translate them into data solutions. Your daily tasks will involve designing and implementing data models, optimizing data workflows, and ensuring data quality and integrity.

📋 Tanggung Jawab Pekerjaan

• Design, build, and maintain scalable data pipelines using tools like Apache Airflow, Python, and SQL.
• Develop and optimize complex SQL queries to extract, transform, and load data efficiently.
• Create and maintain data models and schemas to support analytics and reporting needs.
• Build and deploy interactive dashboards and reports using tools like Tableau, Power BI, or Looker.
• Collaborate with data scientists and business analysts to translate business requirements into technical solutions.
• Ensure data quality and integrity by implementing data validation and monitoring processes.
• Optimize data workflows to improve performance and reduce processing time.
• Stay up-to-date with the latest trends and best practices in data engineering and analytics.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• 3-5 years of experience as an Analytics Engineer or similar role.
• Proficiency in SQL, Python, and data modeling.
• Experience with data warehousing tools like Google BigQuery, Snowflake, or Redshift.
• Familiarity with ETL/ELT processes and tools like Apache Airflow, Talend, or Informatica.
• Knowledge of data visualization tools like Tableau, Power BI, or Looker.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.

🛠️ Keahlian

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