Data Analyst

Summary: Product Operations’ focus is to support and educate the people and businesses who use our products through direct interactions and scalable solutions. We develop processes to help improve the health of our products and work with cross-functional partners to ensure high-quality experience on our platforms. You will gain experience and make an impact in a fast-growing organization. Those who join our teams are very passionate about solving people’s issues and are strong advocates for our users globally. If you like helping people, Product Operations is for you. We are looking for a data analyst who shares our passion for helping make our apps and products reliable and safe. The right candidate will be comfortable in a fast-moving organization and excited to collaborate cross functionally. You will possess strong quantitative analytical skills, statistical knowledge, data visualization skills and communication skills, and the ability to build strong partnerships to drive impact across the organization. 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, Power BI, 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. Candidate Requirements: Must Have Hard Skills: • End to end Dashboarding/ETL Pipeline developments within the product operations space • Proficiency with intermediate to advanced SQL concepts for data extraction. Experience creating dashboards with Tableau, PowerBI, Alteryx and other data visualization tools. • Experience with communicating and presenting findings to non-technical stakeholders. Nice-to-Have Skills: • Experience with Big Tech company • Experience measuring the performance of AI models Additional Information: • Surrounding Team: A part of Product Operations Org, will be working with cross-functional teams to solve user issues across all apps/products. This candidate will analyze data from teams to create/draw efficiencies and create playbooks across the org. Ideal skills/job scope listed in JD. • Interview Process: 2 Rounds – Technical