Description
Platform Data Engineer
Description:
Looking to join a fun start-up where you can have a huge impact? Egnyte is one of the top startups in the bay area and we are looking for an amazing critical thinker who will bring creative advanced predictive analytics to our customer relationship management. Help drive continued Egnyte growth by ensuring Customer Success leadership and Egnyte executives have accurate, up-to-date, actionable data to support solid business decision-making. Increase the efficiency of the Customer Success organization by automating processes to improve productivity and the customer experience. Successful candidates will have a strong background in data science and machine learning to support predictive analytics development and refinement.
What you’ll do:
- Be the lead subject matter expert about the data, reports, tools, and modern business intelligence technologies in order to answer business questions, provide recommendations, and support strategic initiatives.
- Identify problems that can be solved with data science in the company. Develop, validate and execute algorithms and predictive models to investigate problems, detect patterns and recommend solutions. Explore, examine and interpret large volumes of data in various forms
- Build highly optimized analysis using Big Query, Tableau, SQL from large data sets and present data trends or anomalies
- Automate dashboard creation and enable users in self-serviced environment
- Care deeply about data quality and demonstrates this commitment by attention to quality of data and code generated
- Answer important business questions by assembling data from disparate sources to track vital metrics (e.g. Churn, ARR, LTV, APRA etc.)
- Ensure that the business capability requirements align to the business intelligence and data strategy roadmaps, tools, and SLA.
- Partner with other data scientists, data/BI analysts, product, engineering owners
- Communicate activities, plans, and progress of business intelligence program to stakeholders.
Your Qualifications:
- Degree in Computer Science, Engineering, Statistics, Analytics, Accounting, or Finance
- Articulate with good presentation skills
- Driven, energetic, enthusiastic, detail-orientated, and passionate about solving difficult problems at all levels (conceptual, process and data)
- 3 to 5 years work experience providing analytical insights and business reports to product or business functions, analyzing large datasets with SQL, Tableau, and other data manipulation and visualization tools and using some data mining techniques, preferably in a SAAS company; advanced degree may substitute for work experience
- Experience in dimensional data modeling, star/snowflake schema, and data blending skill
- Sound knowledge of machine learning and deep learning
- Experience with advanced analytical modeling and statistical forecasting techniques
- Excellence in SQL, Python, Docker, Kubernetes
- Good understanding of No-SQL and Graph databases
- Critical thinking: ability to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyze data to solve problems
- Familiar with creating business/functional requirements Documents (BRDs/FRDs) and ensure requirements are trackable and verifiable and to the satisfaction of the end-user community
- Ability to manage multiple projects and stakeholders while meeting deadlinesBonus Skills
- Sound knowledge of Scrum, Product Owner, and project management skills
- Knowledge of Finance, Marketing, Sales Forecast analytics