Data Analyst
Salary undisclosed
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Design, develop, and support data pipelines, warehouses, data models, and reporting systems to tackle marketing impact, performance analysis and new campaign opportunities. -Troubleshooting existing data setups to uncover data transformation issues. -Partner with business stakeholders, upstream infrastructure platform teams, and downstream data consumers to understand data and translate business requirements into technical design of building and leveraging scalable data pipelines. -Use your expertise in data engineering best practices to guide others to do the same through building proofs of concept and prototypes. -Build efficient solutions on top of the Google Cloud Infrastructure. -Serve as an inhouse Subject Matter Expert in optimal data pipeline solutions. Job Requirements -Bachelor's degree in Information Technology, Engineering or Data Analytics and/or with 2 – 5 years of relevant work experience in data operations support. -Experience in ETL specifically in SQL stores. -Experience in managing instances on Google Cloud Platform (GCP). -Familiarity with a range of data engineering approaches, covering theoretical best practices and the technical applications of these methods. -Good understanding of marketing terminology and measurement metrics. -Excellent communication skills with business intuition and ability to understand business systems, versatility and willingness to learn new technologies on the job. -Detailed-oriented, methodical and prefers a structured way of getting things done. -Able to consistently meet deadlines and problem-solve with strong attention to detail. -Experience with end-user visualization tools like Google Data Studio, Power BI and Tableau is a plus.
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