Data Analyst
- Participate in customer meetings and carefully listen for pain points and business problems
- Develop visualization interfaces (internally and in customer systems) to maximize data value and useability in the customer business context
- Mold real time series data stream into actional insights
- Hunt to uncover new insights in data generated by customer deployments
- Build and deliver technical presentations to customers
- Communicate effectively with engineers from many disciplines (including algorithm, software, and hardware engineers)
- Work with internal product teams and customer teams to turn insights into integrated solutions.
- Bachelor's degree in Math, CS, data science/engineering or equivalent analytical degree
- 4-5 years of relevant professional experience
- Architecture experience in big data, data warehousing, operational analytics and integration.
- Optimize the performance of big data systems to design and implement efficient analytics algorithms.
- Strong Python skills
- Experience with SPARK strongly preferred.
- Visualization tools experience including UI design (Plotly, Tableau, PowerBI, Grafana)
- Understanding of statistical analysis and relational database structures (SQL, Influxdb a plus)
- Strong analytical and quantitative problem-solving abilities
- Excellent interpersonal and communication skills
- Ability to be self-sufficient and execute quickly when given autonomy
- Experience with IoT data streams and business context a plus
- Flexible team player who will thrive in a dynamic, constantly evolving environment
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