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Role Overview: At the Circle K Business Centre in India, you will be an integral part of the team using the power of data analytics to drive decisions and strengthen Circle Ks global capabilities. Your role will involve partnering with various departments to drive data engineering activities for advanced analytics projects. You will be responsible for interpreting business questions, working with large datasets, and complying with data governance frameworks to deliver effective solutions. Key Responsibilities: - Prototype, build, deploy, and manage data engineering pipelines for advanced analytics projects - Define data architecture, explore trade-offs, and build data pipelines for on-premise and cloud-based BI/AI/ML systems - Build logical and physical data models for OLTP and OLAP solutions - Maintain ETL playbook documentation and address ETL-related issues - Contribute to shared data engineering tooling & standards to enhance productivity and quality - Improve data quality through automated issue detection tools - Work with data science and visualization professionals to productize data science algorithms into analytical software Qualifications Required: - Bachelors Degree in Computer Science or related technical field - 2-4 years of relevant experience for Analyst, 4-6 years for Sr. Analyst in a quantitative/applied analytics role - Knowledge of Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.) - Familiarity with enterprise reporting systems, relational and non-relational database management systems, and Data Engineering tools - Proficiency in Big data technologies (Hadoop, Spark, Kafka, Presto) and Cloud computing services (Azure/AWS/GCP) for data engineering and ML Ops - Strong interpersonal communication, ability to prioritize and manage tasks independently in a fast-paced environment Additional Details: The Circle K Business Centre in India is a key player in advancing the company towards becoming a data-centric organization. The future of data analytics at Circle K is promising, and as a part of the team, you will contribute to unlocking value for customers globally. Role Overview: At the Circle K Business Centre in India, you will be an integral part of the team using the power of data analytics to drive decisions and strengthen Circle Ks global capabilities. Your role will involve partnering with various departments to drive data engineering activities for advanced analytics projects. You will be responsible for interpreting business questions, working with large datasets, and complying with data governance frameworks to deliver effective solutions. Key Responsibilities: - Prototype, build, deploy, and manage data engineering pipelines for advanced analytics projects - Define data architecture, explore trade-offs, and build data pipelines for on-premise and cloud-based BI/AI/ML systems - Build logical and physical data models for OLTP and OLAP solutions - Maintain ETL playbook documentation and address ETL-related issues - Contribute to shared data engineering tooling & standards to enhance productivity and quality - Improve data quality through automated issue detection tools - Work with data science and visualization professionals to productize data science algorithms into analytical software Qualifications Required: - Bachelors Degree in Computer Science or related technical field - 2-4 years of relevant experience for Analyst, 4-6 years for Sr. Analyst in a quantitative/applied analytics role - Knowledge of Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.) - Familiarity with enterprise reporting systems, relational and non-relational database management systems, and Data Engineering tools - Proficiency in Big data technologies (Hadoop, Spark, Kafka, Presto) and Cloud computing services (Azure/AWS/GCP) for data engineering and ML Ops - Strong interpersonal communication, ability to prioritize and manage tasks independently in a fast-paced environment Additional Details: The Circle K Business Centre in India is a key player in advancing the company towards becoming a data-centric organization. The future of data analytics at Circle K is promising, and as a part of the team, you will contribute to unlocking value for customers globally.
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