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Sixgill is growing fast and is looking for exceptional people to join our team.
Job Description:
Sixgill is a market leader in deep and dark web cyber threat intelligence. The company helps enterprises, financial institutions, government and law enforcement agencies protect their finances, networks and reputations from cyberthreats that lurk in the deep, dark and surface webs. The advanced cyber threat intelligence portal automates all phases of the intelligence cycle, providing organizations with unparalleled information and actionable insights to protect their assets in the ever-evolving cyber threatscape.
Sixgill is a well-funded, fast growing tech company in the area of cyber threat intelligence.
We are looking for a data analyst to help us with our go-to-market KPI definition, monitoring and projection. As a data operations analyst, you will work on various projects across different business units and department VPs to collect and share data. Reporting to the CFO, you will be responsible for monitoring go-to-market operations from a performance and cost perspective.
Responsibilities
- On-going active monitoring of our sales and business operations, including the following:
- Sixgill’s past, current and future SaaS KPIs
- Saas KPIs: new, upsale, renew, churn, downsale, LTV
- Our past, current and future financial SaaS KPIs
- Financial SaaS KPIs: CAC, Net Churn, Gross Churn
- Our P&L level sales metrics: COGS
- Our past, current and future services organization profitability
- On-going monitoring (by getting data from marketing) of our marketing performance:
- What is our past, current and future conversion rate in various funnel stages grouped by source, event, campaign, geography
- What is our past, current and future cost per lead, cost of an SQL, and SQO grouped by source, event, campaign, geography
- On-going monitoring (by getting data from our Intel) POV success/churn:
- What is our past, current and future conversion rate in POV
- On-going GTM financial operation analysis:
- Commissions calculations
- Vendors/resellers/ rev-share monitoring
- Review business process and company policies to help enhance workflow and develop a stronger company
- Collaborate with sales and other teams to help find ways to create cost-effective business processes that will attract new customers
Requirements
- 3-5 years of experience as a sales/business analyst, preferably with experience in a B2B SaaS company
- Experience working with BI tools (Looker/Tableau/Power BI)
- Experience working with complex data sets, deriving insights and conclusions with great attention to detail
- Ability to work autonomously in a fast-paced, cross-functional environment with different management members
- Good interpersonal and presentation skills for interaction with all levels of management
- Advanced proficiency in written and spoken English
- BA/BS in Business, Industrial Engineering, Economics or equivalent degree
Bonus Points
- Proficiency in SQL / analytics tools
- Familiarity with Salesforce.com
Application for Data Operations Analyst
Job Description:
Sixgill is a market leader in deep and dark web cyber threat intelligence. The company helps Fortune 2000 companies, financial institutions, government and law enforcement agencies protect their finances, networks, and reputations from cyberthreats that lurk in the deep, dark, and surface webs. The advanced cyber threat intelligence portal automates all phases of the intelligence cycle, providing organizations with unparalleled information and actionable insights to protect their assets in the ever-evolving cyber threatscape.
Sixgill is a well-funded, fast growing tech company where automated actionable intelligence that leans on AI-based analysis is key for our business and operations. We already apply a portfolio of NLP and ML models that processes our unique collecting from the deepest and darkest sources. We are looking for a talented data scientist to join the team.
As a data scientist in Sixgill, you will gain access to a breadth of data collected from the deepest sources on the web and apply state-of-the-art techniques to extract insights from it. You’ll be responsible to drive your ideas from initiatives, through research, all the way to Python production code in order to provide clear value for Sixgill customers.
REQUIREMENTS:
- M.Sc or higher degree in computer science or another relevant field from a leading university
- Good understanding of machine learning methodology and workflows
- 2+ years of experience building production-deployed machine learning models
- Industry experience in NLP
- Passion for data
- Enthusiastic and energetic
- A team player
- Thrive in a fast-paced, agile environment
- Fluent in English and Hebrew, both written and verbal
ADVANTAGES:
- PhD
- Has broad knowledge of SQL and NoSQL DBs
- Experience with neural networks text processing methods such as BERT
- Intelligence Background