Senior Data Analyst - Operations

November 9

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Description

• Building, maintaining, and optimizing data pipelines for operational analytics. • Working closely with Operations, Sales, Client Success, and Audience Development teams. • Troubleshooting complex data issues and architecting scalable data systems. • Ensuring data accuracy, automation, and continuous improvement of data processes.

Requirements

• 5+ years of expertise using BigQuery and SQL for querying, transforming, and manipulating large datasets, with additional hands-on experience using Python for data processing, automation, and analytics. • Proficient with data visualization tools such as Tableau, Looker/Google Data Studio, or Power BI, enabling the creation of clear and insightful dashboards that communicate complex information effectively. • Skilled in leveraging DBT (Data Build Tool) for data transformations, source control, and collaborative analytics workflows, contributing to efficient and scalable data pipelines. • Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights. Excellent communication abilities to articulate findings clearly to both technical and non-technical stakeholders. • Knowledgeable in statistical analysis, predictive modeling, and machine learning techniques to support data-driven forecasting and advanced insights. • Experience working collaboratively across cross-functional teams to drive alignment and ensure analytics insights meet business needs. • Agile professional who excels in a fast-paced environment and thrives on continuously pivoting strategies to drive business needs forward.

Benefits

• There are no perks or benefits included with this role.