Global Quality Data Analyst

hace 2 días


En remoto, España Meta A tiempo completo

**Global Quality Data analyst Responsibilities**:

- Partner with teams within Quality, the broader Global Operations organization, Data Science, Data Engineering, Product and Engineering teams to solve problems and identify trends and opportunities
- 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
- 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
- Communicating results of analyses to non-technical stakeholders who are the users of systems involving metrics, pipelines, and dashboards

**Minimum Qualifications**:

- Minimum 4+ years professional experience working in an Operations, Analytics, Product, Engineering or equivalent team, preferably in a technology company, consulting firm, or similar fast-paced environment
- B.A. or B.S. degree with a quantitative focus in Economics, Computer Science, Information Systems, Math, Statistics, Operations Research, Business Analytics or equivalent trainingB.A. or B.S. degree with a quantitative focus in Economics, Computer Science, Information Systems, Math, Statistics, Operations Research, Business Analytics or equivalent training
- Proficiency in querying and manipulating complex raw datasets for analysis using SQL, Python, or R
- Professional experience with data visualization tools (e.g., Tableau)
- Experience with statistical analysis (e.g., hypothesis testing, probability, regressions, experimentation logic and biases, data modeling techniques, time series analysis)
- Professional experience with reporting systems, data pipeline architecture, data modelling, and automation
- Experience explaining technical concepts and analysis implications clearly to varied audiences and be able to translate business objectives into actionable analyses

**Preferred Qualifications**:

- Advanced degree with a quantitative focus (Economics, Computer Science, Operations Research, Math, Statistics, Analytics)
- Experience thinking strategically, structurally solving product problems, and driving execution
- Experience developing data pipelines via SQL and Python-based framework


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