Employ languages and tools like SQL, Python or java script to build scalable data pipelines, tables and schemas to form the foundation of efficient data exploration on Product, Sales and Customer Success etc
Build actionable insights, incl. real-time dashboards and visualizations to help drive critical decisions
Build data expertise and own data quality for your areas
In partnership with engineering, product and business teams, build roadmaps & goals and execute against them while balancing speed, accuracy and precision
Build strong cross functional partnerships
Demonstrate good communication skills and present work to company leadership at company-wide events
Strive to use readily available, general and scalable methodologies and tools; stay current with latest tools and techniques
Minimum Qualifications
Degree in quantitative field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research or other related field)
5+ years experience building data pipelines and /or doing quantitative analysis including experience with SQL, other programming languages (e.g, Python)
3+ years experience developing production software systems such as data pipelines and tableau dashboards
Experience analyzing data to discover opportunities and address gaps.
Ability to deal with ambiguity, drive projects / analyses to conclusion with limited supervision and communicate analysis in a clear, concise and actionable manner
Preferred qualifications:
Experience with handling data from different systems like CRM, Customer Success applications
Experience with data management for web applications
Experience with big data analytics
Experience with working on cloud platforms like Snowflake and have basic understanding of cloud services provided by AWS or GCP
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