Create systems to store, monitor, secure, and produce large amounts of data. Assemble large, complex data sets by collecting, categorizing, and organizing databases. May perform additional duties that are similar and consistent with stated position requirements.
Qualified candidates must possess a Master’s degree in Computer Science, Informatics, Information Systems, or closely related field plus 4 years of experience.
Of the required experience, must have 4 years of experience in each of the following:
- Data analytics platform development
- Schema design and dimensional data modeling
- Designing, implementing, and maintaining custom Extract, Transform, and Load (ETL) scripts
- Writing SQL statements
- Developing Data Lake Infrastructure
- Communicating data warehouse plans to internal teams
Full-time telecommuting permitted from any location in the United States.
Salary: 180,000
Send resume to [email protected] or
CyberCube Analytics, Inc.
345 California Street
San Francisco, CA 94104
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What We Do
CyberCube is a SaaS technology company, developing world-leading cyber risk analytics and modeling to help society understand the financial impact of cyber risk. We enable society to make better decisions about which digital risks to avoid, mitigate or insure as internet-connected technologies change the nature of risk in the 21st Century.
CyberCube delivers world-class insight-driven analytics, built specifically for the insurance ecosystem. We’re helping our customers all over the world use our data and analytics applications to enable insurance placement, underwriting decisions, and portfolio management optimization. We help power insight-driven decisions to grow cyber insurance in a sustainable, profitable way.
We help the cyber insurance market to grow profitably through the use of our world-leading cyber risk analytics.
We give insurers the ability to take insight-driven risk decisions, see trends before they become claims and tackle complex and important challenges.
The combined power of our unique data, multi-disciplinary analytics and cloud based technology helps with insurance placement, underwriting selection and portfolio management optimization.
Our deep bench of experts from data science, security, threat intelligence, actuarial science, software engineering and insurance helps the global insurance industry by selecting the best sources of data and curating it into data sets to identify trustworthy early indicators of risks and build a forward-looking view of them.
Why Work With Us
Our supportive and respectful environment increases the participation and contribution of all employees, with personal development and inclusion being priorities. We deeply care about the wellbeing of our employees and strive for a fun and healthy environment where you'll be able to roll your sleeves up and learn with like-minded talented people.
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