Product Data Analyst, Digital Self-Service

hace 4 semanas

Heredia, Costa Rica Databricks A tiempo completo

FEQ225R83

Databricks is looking for a Product Data Analyst to join the Digital Self Service team in Field Engineering. You will report to the Senior Director of Digital Self-Service. We're building our Self-service team to grow the adoption of data engineering, data science, machine learning, and deep learning technologies.

You have product growth experience and enjoy discovering patterns in customer data to understand gaps in the conversion funnel from sign-up to trial to commit. If you have led product analytics and customer research this opportunity will be exciting for you. You'd create analyses and data-informed designs. You'd develop the business model strategy, automate customer segmentation and attribution modeling.

You'd be our champion in making Databricks simple You would build impact reporting and help develop data-driven design solutions. 

The impact you will have:

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.

What we look for:

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: Apache Spark, AWS S3 and EC2, SQLExperience 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, SFDCModeling: PCA, SVD, NMF- NLP Deep Learning: CNNs, RNNs, LSTM w/ word embeddings

Benefits

Comprehensive health coverage, including medical, dental, and visionEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementAnnual personal development fundWork headphones reimbursementEmployee Assistance Program (EAP)Business travel accident insurance

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