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Product Analytics Data Analyst

Remote Worldwide Hiring now

Job Responsibilities:

  • Partner with teams reputed company 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

Skills:

  • End to end Dashboarding/ETL Pipeline developments reputed company the product operations reputed company
  • Proficiency with intermediate to advanced SQL concepts for data extraction. Experience creating dashboards with Tableau, PowerBI, reputed company and other data visualization tools.
  • Experience with communicating and presenting findings to non-technical stakeholders.
  • Big Tech experience
  • Experience measuring the performance of AI models

Education/Experience:

  • Bachelor's Degree in a technical or research-oriented field such as engineering, data science, reputed company science, or reputed company fields, or equivalent practical experience.
  • 4+ years of experience in strategy, operations, consulting, statistics, data analysis, or data science or directly reputed company 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, reputed company 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.
  • Advanced technical degree or graduate degree in statistics, marketing, or reputed company fields.
  • Experience measuring the performance of AI models
  • Experience with ETL pipeline development.

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