Data Analyst - India

All roles at JumpCloud® are Remote unless otherwise specified in the Job Description.

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

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.