The company is looking for a data analyst to help make their client's apps and products reliable and safe. The role involves solving problems, identifying trends and opportunities, and driving impact across the organization through data analysis and insights.
Requirements
- Proficiency with intermediate to advanced SQL concepts for data extraction.
- 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.
- Experience measuring the performance of AI models
- Experience with ETL pipeline development.
Responsibilities
- 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
- Independently analyze data, conduct research and synthesize feedback into plans, processes and playbooks
- 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
Other
- 4+ years of experience in strategy, operations, consulting, statistics, data analysis, or data science or directly related fields.
- Experience in managing multiple projects and meeting deadlines in a fast-paced environment.
- 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.
