EquityBee empowers startup builders, the employees, to become shareholders and participate in the success of the companies they work so hard to build. Employees can become shareholders by leveraging EquityBee’s investor community to get capital to exercise their stock options. In return, employees agree to share a piece of any future potential gain from an exit with the investors who supported them. If you love startups, and are hungry for success, this position is the right fit for you. What’s better than helping fellow startup builders participate in the success of the companies they worked so hard to build?
EquityBee is hiring a Senior Data Analyst to join our US-based team. This is an exciting opportunity for an analytically skilled individual who wants to be an early and impactful member of a product data team. This role will be a key player in impacting the company data ETL processes, from development, to delivery via BI tools. This is a highly cross-functional role that will work closely with all the departments in the company, including marketing, product and customer relations.
About the role…
• Create Models for predictive analytics and derive meaningful insight from a large variety of data sources.
• Collaborate with the product, marketing, and customer relations teams to define metrics, create queries, and provide data reports.
• Create statistical models that directly impact the product such as prediction of activation and value of users.
• Develop the BI platform and integrate data from multiple sources.
About you...
• 4+ years of experience in a Business Analyst, Data Analyst or Data Scientist role
• BA required; ideally in statistics, economics, computers science, or other analytical studies
• Ability to simply explain complex mathematical/statistical concepts
• Strongly skilled in SQL; Javascript is an advantage
• Experience with Looker or similar data visualisation tools
• Experience with ETL pipelines / data engineering
• Highly skilled in writing code
• Self-motivated and an independent learner
• Excellent communication and people skills; ability to work and interact with all levels of the organization.
EquityBee does not discriminate in employment on the basis color, race, religion, gender identity, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factor.
EquityBee is hiring a Senior Data Analyst to join our US-based team. This is an exciting opportunity for an analytically skilled individual who wants to be an early and impactful member of a product data team. This role will be a key player in impacting the company data ETL processes, from development, to delivery via BI tools. This is a highly cross-functional role that will work closely with all the departments in the company, including marketing, product and customer relations.
About the role…
• Create Models for predictive analytics and derive meaningful insight from a large variety of data sources.
• Collaborate with the product, marketing, and customer relations teams to define metrics, create queries, and provide data reports.
• Create statistical models that directly impact the product such as prediction of activation and value of users.
• Develop the BI platform and integrate data from multiple sources.
About you...
• 4+ years of experience in a Business Analyst, Data Analyst or Data Scientist role
• BA required; ideally in statistics, economics, computers science, or other analytical studies
• Ability to simply explain complex mathematical/statistical concepts
• Strongly skilled in SQL; Javascript is an advantage
• Experience with Looker or similar data visualisation tools
• Experience with ETL pipelines / data engineering
• Highly skilled in writing code
• Self-motivated and an independent learner
• Excellent communication and people skills; ability to work and interact with all levels of the organization.
EquityBee does not discriminate in employment on the basis color, race, religion, gender identity, national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factor.