All roles at JumpCloud® are Remote unless otherwise specified in the Job Description. This opportunity requires that you work a specific shift as this is a region specific role.
About JumpCloud®
JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.
JumpCloud is Intelligent, Secure IT.
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 and analytics support for the Business Finance team at JumpCloud. In this role, you will also help design and scale modern self-service analytics capabilities and leverage AI-assisted tools to optimize data workflows, accelerate insights, and empower business partners to make data-driven decisions independently.
A successful candidate will be passionate about data, modern analytics technologies, and self-service innovation. You can balance and appropriately prioritize multiple projects, you are not afraid to ask difficult questions in an ambiguous environment, and you are passionate about JumpCloud, business finance, and collaboration. Last but not least, a rolling-up-your-sleeves attitude is very important—JumpCloud is a lean and fast-moving company.
What you'll be doing:
Collaborating and driving impactful projects involving data visualization, data analysis, AI automation, and data curation in partnership with the Business Finance team.
Working in direct, constant partnership with the Business Finance team, sharing in their mission and consulting on the evolution of their data and analysis strategy.
Owning the outcomes of assigned analytics initiatives, taking personal accountability for end-to-end project delivery from scoping to execution.
Gathering business requirements and delivering actionable recommendations that are presented routinely at the executive level to drive adoption and decision-making.
Developing and leveraging AI-assisted tools and automated workflows to accelerate data exploration, streamline ad-hoc reporting, and improve forecasting precision.
Mentoring and growing peer analysts across the organization to help team members achieve their technical and professional potential.
Evangelizing analytics best practices and data governance principles by cultivating stakeholder relationships and developing clear end-user resources.
Supporting the team's ongoing project management, strategic decision-making, and long-term planning efforts.
Staying updated on industry trends, emerging technologies (including AI and ML), and data analytics best practices, actively applying them to meet business needs.
You have:
Demonstrated experience delivering an scalable AI or analytics solution that influenced a business decision, improved a process, or enabled stakeholder self-service beyond manual analysis and/or dashboards.
Intermediate SQL, relational database skills (Snowflake preferred), strong proficiency with Python, proficiency in BI tools (Tableau), and enterprise data platforms (Salesforce, Excel). Exposure developing and leveraging AI-assisted analytical tools.
Strong communication, stakeholder management, and data storytelling skills, with experience presenting insights at an executive level.
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.
Experience in the SaaS industry, with functional expertise in business finance metrics (forecasting, GRR, NRR, expansion, commissions, etc.) nice-to-have
Mentoring skills.
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.
Bonus Points if You Have:
Exposure to fintech, SaaS, consumer technology or digital-product environments.
Experience working directly with stakeholders like finance managers, business leaders, or operations teams.
Bachelor's degree (or equivalent experience) in Computer Science, Statistics, Informatics, Information Systems, Finance or other finance or quantitative fields.
Behavioral Strengths:
Self-starter with a bias to action: Takes ownership, moves forward despite ambiguity and does not wait for perfectly defined requirements.
Outcome orientation: Connects analytical work to measurable business or customer impact.
Curiosity: Goes beyond the immediate request to understand why a metric moved and what decision should follow.
Strive for excellence: Continuously improves the quality, scalability and usefulness of analytical solutions.
Attention to detail: Validates data, assumptions, definitions and results before presenting conclusions.
Structured problem-solving: Breaks broad business problems into testable components and prioritises the analyses that matter most.
Clear communication: Explains complex findings simply and adapts the level of detail to the audience.
Collaborative ownership: Works effectively across functions while remaining personally accountable for delivery.
Learning agility: Quickly develops working knowledge of new tools, business domains and analytical methods.
What Success Looks Like:
Independently own analytical problems from problem definition through recommendation.
Build trusted relationships with business and finance stakeholders.
Identify and deliver at least one measurable business improvement from analytics, experimentation, AI.
Reduce recurring manual analysis through automation or reusable analytical assets.
Improve the velocity and quality of decision-making by presenting clear, evidence-based recommendations.
Shift Schedule:
Due to the collaborative nature of this role with our global teams, this role will essentially follow "North American Working Hours" so there is direct overlap with our North American teams.
Specifically, candidates of this role will be required to work 6:00 pm - 3:00 am IST which will include a break.
