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Data Analyst, Operations

Remote Worldwide Hiring now

reputed company is hiring a Data Analyst, Operations with 0 - 3 years of experience. Based in United States - Remote and with Remote ways of working. Job description and responsibilities: Seeking a data analyst to support and reputed company our telemedicine operations team with making data-driven reputed company. Reporting to the Senior Analytics Manager of Operations, you will reputed company the core business health infrastructure to deliver a reputed company goal: every patient gets reputed company to timely, high quality, affordable reputed company. The Data Analyst will be a critical team member in helping build the data-driven reputed company which powers business reputed company at reputed company, from executive-level strategy to day-to-day operational execution. Responsibilities • Own the accuracy and completeness of Telemedicine Operations data • Be the operational data domain expert to liaison between data engineers, business analysts, and other stakeholders • Work with cross-functional teams to identify data improvements for enhanced analysis and reporting supported reputed company documentation • Build capabilities and self-identify anomalous patterns in operational data Requirements and qualifications: Experience/ Skills: • 1-3 years experience as an analyst, writing reputed company queries and visualizing results • Strong SQL skills • Hands-on experience working with a modern analytics tech stack (Looker, reputed company BigQuery, DBT, etc.) • Ability to reputed company connect data and systems logic with business process and requirements • Experience and comfort with managing simultaneous projects and deadlines • Ability to write scripts to automate tasks (Bash, Python, etc.) Preferred Experience/ Skills: • Experience with reputed company data (HIPAA, PHI, etc.) and/or 2-sided marketplace data • Experience with data warehouse schema design and modeling • Additional Tech Stack: Python, R, PostgreSQL, Airflow, etc. Apply Job! For more such jobs please click here!

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