About the Role
We are looking for a high-agency Data Analyst with 3–5 years of overall experience, including relevant internships, who can use data, experimentation and AI to influence business decisions.
This role is suited for someone who has worked in a fast-paced, high-outcome environment and is comfortable moving from an ambiguous business question to analysis, recommendation and implementation. The analyst will work closely with product, business, engineering and other functional teams to identify opportunities, evaluate solutions and drive measurable outcomes. Note that the role requires overlap specifically for the first two hours of business everyday with the team in the MT zone.
Key Responsibilities
Partner with business and product teams to translate open-ended problems into clear analytical questions, measurable hypotheses and actionable recommendations.
Analyse customer journeys, funnels, engagement, and retention to identify growth opportunities.
Conduct root-cause analyses to explain changes in business metrics and recommend corrective actions.
Design and evaluate experiments with appropriate statistical and business context.
Develop dashboards, automated reporting and analytical pipelines that enable reliable decision-making.
Build or contribute to AI-enabled analytics solutions or decision-making tools.
Collaborate with data engineering teams to improve data definitions, analytical datasets, metric consistency and data quality.
Present findings to business stakeholders with storytelling and ability to zoom-out appropriately.
You Have:
1–3 years of relevant experience across full-time roles and internships in data analytics, product analytics, data science or a related field.
Strong working knowledge of SQL and the ability to independently analyse large & complex datasets.
Working proficiency in Python for analysis, automation or model development.
Demonstrated experience delivering an AI or analytics solution that influenced a business decision, improved a process or enabled stakeholder self-service.
Experience working with business metrics and processes with the corresponding analytics frameworks.
Ability to build scalable analytical outputs rather than repeatedly solving the same problem through manual analysis and/or dashboards.
Familiarity with data platforms such as Tableau, Snowflake, Databricks or comparable tools.
Bonus Points if You Have:
Prior exposure to machine-learning models, including data preparation, feature engineering, model validation and performance evaluation.
Exposure to fintech, SaaS, consumer technology or digital-product environments. • Experience working directly with stakeholders like product managers, business leaders, engineers or operations teams.
Evidence of strong analytical work through courses, publications or open-source contributions.
Behavioural 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 product 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.
Within the first few months, the successful candidate should be able to:
Skills Required
- 3-5 years of overall experience including relevant internships
- Strong working knowledge of SQL to analyze large and complex datasets
- Working proficiency in Python for analysis, automation or model development
- Demonstrated experience delivering an AI or analytics solution that influenced business decisions
- Experience working with business metrics and analytics frameworks
- Ability to build scalable analytical outputs and automate recurring analysis
- Familiarity with data platforms such as Tableau, Snowflake, Databricks or comparable tools
- Overlap with Mountain Time business hours for first two hours each business day
- Located in and authorized to work in India
- Prior exposure to machine-learning models (data preparation, feature engineering, validation)
- Experience in fintech, SaaS, consumer tech, or digital-product environments
- Experience working directly with product managers, business leaders, engineers or operations teams
What the Team is Saying
JumpCloud Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as comprehensive with medical, dental, and vision starting on day one in the U.S., alongside HSA options and an Employee Assistance Program. Additional wellness elements include mental‑health support and expanded medical travel coverage where needed.
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Retirement Support — A 401(k) with a stated company match is offered in the U.S., and pension contributions are noted in the U.K., indicating structured retirement benefits. Access to personal financial consultants further supports long‑term planning.
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Leave & Time Off Breadth — Flexible or “unlimited” PTO, paid holidays, and sick time are emphasized, within a remote‑first setup. Parental leave and family medical leave add to the breadth of time‑off options.
JumpCloud Insights
What We Do
JumpCloud’s mission is to Make Work Happen®, providing simple, secure access to an organization’s technology resources from any device, or any location. The JumpCloud Open Directory Platform gives IT, security operations, and DevOps a single, cloud-based solution to control and manage employee identities and their devices, and apply conditional access controls based on Zero Trust principals. Since launching in 2012, our global user base has grown to more than 150,000 organizations, with more than 5,000 paying customers including Cars.com, GoFundMe, Grab, ClassPass, Uplight and Peloton. JumpCloud has raised over $400M from world-class investors including Sapphire Ventures, General Atlantic, Sands Capital, Atlassian, and CrowdStrike. Our teams are growing fast, too, and we're looking for talent across engineering, sales, customer success, marketing, product management, and more. Join our team of dedicated, passionate, and creative people who are eager to change the IT industry forever. We live by our core values which are: Build Connections Think Big 1% Better Every Day
Why Work With Us
We offer an incredible opportunity to see your impact. Each team member gets an up close personal view and education into building a fast growing startup. We are transparent about what we are doing, how we are doing it, and the decisions that we are making. There is opportunity to progress and flexibility to find unique approaches to our business
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JumpCloud Offices
Remote Workspace
Employees work remotely.
JumpCloud is committed to being remote-first across the world. We have team members in most U.S. states and in 14 countries.
