Product Data Analyst, Business Insights Specialist

hace 4 días


San Francisco, Heredia, Costa Rica Databricks A tiempo completo
About the Role

We are seeking a Product Data Analyst to join our Digital Self-Service team in Field Engineering. This role reports directly to the Senior Director of Digital Self-Service.

Key Responsibilities
  • Maintain the source of truth for self-service metrics to support monthly/quarterly reviews and ad-hoc reporting.
  • Extract data from multiple sources to create standardized tables in the data lake.
  • Build dashboards to better understand our performance and gain insights.
  • Develop an understanding of Databricks' business and internal data model.
  • Establish best practices around data model governance, data sharing, and scalable reporting in partnership with Finance, Sales Operations, Product, and Data Science.
Requirements
  • Bachelor's Degree in Computer Science, Engineering, Operations Research, Economics, or comparable quantitative field.
  • 4+ years of operations, finance, consulting, or engineering experience; familiarity with the software industry (and SaaS).
  • Expert in SQL; experienced in Python or R.
  • Data Science: Python including all standard ML, DL libraries - BigData: Spark, AWS S3 and EC2, SQL.
  • Experience using version control like Git to work on team projects.
  • Proficient in Excel (can write advanced macros) or Google Sheets.
  • Transform datasets to create meaningful visualizations/reports/dashboards using Databricks, Tableau, or comparable software packages.
  • Comfort managing large datasets using relational databases and automating workflows (e.g., cleaning and manipulating data from multiple sources).
  • Identify and address business issues and prescribe technical recommendations to partners.
  • Familiarity with systems such as Salesforce, integration of 3rd party tools, connecting user and account level to product usage.
  • Financial Reporting: DCF, Sensitivity Analysis, Forecasting - Tools: Excel, Tableau, SFDC - Modeling: PCA, SVD, NMF- NLP Deep Learning: CNNs, RNNs, LSTM w/ word embeddings.

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