Job Title : Data Analyst
Work Location: US - CA - Remote _ West coast time zone
Responsibilities
Partner with teams within Product Operations, the broader Global Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities
Independently analyze data, conduct research and synthesize feedback into plans, processes and playbooks
Build/maintain data infrastructure (reporting layer data pipelines, reports, dashboards, alerts) to monitor the performance of our operations and drive business understanding
Proactively propose creative technical and quantitative solutions to problems and drive these through to implementation e.g.through identification of data & tooling requirements enabling self-service / scalable solutions
Communicate results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards
Define metrics/KPIs for end to end product operations and building repeatable and reproducible analysis
Minimum Qualifications:
Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields, or equivalent practical experience.
4+ years of experience in strategy, operations, consulting, statistics, data analysis, or data science or directly related fields.
Proficiency with intermediate to advanced SQL concepts for data extraction.
Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
Experience creating dashboards with Tableau, PowerBi, Alteryx and other data visualization tools.
Experience with statistical analysis, including hypothesis testing, regression, and experimental design.
Experience with communicating and presenting findings to non-technical stakeholders.
Preferred Qualifications:
Advanced technical degree or graduate degree in statistics, marketing, or related fields.
Experience measuring the performance of AI models
Experience with ETL pipeline development.
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