Data Analyst, Operations

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Requirements:

• 5-8 years of experience in data analysis, operations analytics, or a related field.
• Strong proficiency in SQL and data manipulation for analysis and reporting.
• Hands-on experience with modern analytics tools and technologies, including Looker, Google BigQuery, and DBT.
• Solid understanding of data visualization best practices and principles.
• Ability to logically connect data and system logic with business processes and requirements.
• Proven ability to work with complex datasets and translate them into actionable insights.
• Strong analytical skills with a focus on problem-solving and process improvement.
• Excellent communication skills and the ability to explain technical concepts to non-technical audiences.
• Demonstrated ability to work independently and manage multiple projects in a fast-paced environment.

Responsibilities:

• Own the accuracy and completeness of downstream operational data.
• Serve as the operational data domain expert, acting as a liaison between data engineers, business analysts, and other stakeholders.
• Design, develop, and maintain dashboards and reports using BI tools to monitor operational performance and key metrics.
• Collaborate with operations teams to identify data needs and translate them into actionable insights and visualizations.
• Perform in-depth analysis to uncover patterns, trends, and opportunities for process improvement.
• Develop and document scalable data models and processes to ensure data accuracy, consistency, and accessibility for stakeholders.
• Contribute to the automation of data workflows and reporting processes to improve efficiency.
• Partner with cross-functional teams to ensure alignment and consistency in data usage.
• Communicate findings and recommendations effectively through data storytelling and presentations.