Data Analyst - Finance

November 9

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JumpCloud

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Device Management • Extend AD/LDAP to the cloud • Software as a service (SAAS) • Cloud Identity Management • Single Sign-On

201 - 500

💰 $66M Series F on 2021-10

Description

• All roles at JumpCloud are Remote unless otherwise specified in the Job Description. • About JumpCloud: JumpCloud® delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. • About the Role: The Data Analyst, Finance role will play a critical role on the Enterprise Data and Analytics (EDA) team. Primary responsibility is driving JumpCloud’s core reporting, dashboard, and analytics support for the Business Finance team at JumpCloud. This role will be dedicated to supporting the team with strategic financial SaaS metrics. A successful candidate will be passionate about data, can balance and appropriately prioritize multiple projects, and is not afraid to ask difficult questions in an ambiguous environment.

Requirements

• Intermediate quantitative experience, SaaS industry preferred. • Functional experience in financial analytics - such as forecasting, expansion, renewals, Gross Revenue Retention, Net Revenue Retention, etc. • Intermediate analytical skills and a passion for data storytelling and quantitative analysis. • Proficiency in one or more business Intelligence / data visualization tools; Tableau experience highly preferred. • Mentoring skills. • Intermediate knowledge and experience in SQL and relational databases; Snowflake experience highly preferred. • Salesforce experience highly preferred • Excel or Google Sheets experience highly preferred • Experience or exposure to Salesforce • Strong attention to detail and desire to learn. • Effective stakeholder management skills and communication skills. • Experience with Data Governance best practices. • Effective project management and organizational skills; Agile experience is a plus. • Experience supporting and working with an FP&A and/or Business Finance team in a fast-paced, unstructured, dynamic environment; Start-up experience a plus. • Bachelor's degree (or equivalent experience) in Computer Science, Statistics, Informatics, Information Systems, Finance or other finance or quantitative fields.