Senior Data Ops Analyst

4-6 years of hands-on experience in data-focused roles. Proficient in advanced SQL queries for research and reporting, ensuring data quality and integrity. Track record of analyzing large datasets, identifying inconsistencies, and recognizing patterns. Capable of rectifying data inconsistencies and developing scalable data quality test plans. Proficient in managing product lifecycles and communicating action plans and timelines to clients. Experience collaborating with Engineering and Data Science teams. Ability to think strategically and translate client requirements into actionable strategies. Strong communication skills with experience in stakeholder management. Proficient decision-making skills, adept at prioritizing tasks and project managing. Efficient management of data processes and documentation.

Investigate anomalous data to determine if trends represent errors or real-world events. Serve as the first responder for data issues and inquiries. Educate commercial stakeholders on data definitions and nuances. Manage updates to QA tests and dashboards for streamlined checks. Investigate data restatements and data science models. Coordinate data fixes with internal teams and external data vendors. Perform data quality investigations to identify discrepancies with customer data. Present data quality investigation findings to customers. Run new coverage feasibility studies and propose solutions. Coordinate monthly data releases in Looker and weekly ad hoc reports.