JumpCloud

JumpCloud

JumpCloud provides a unified platform for managing identity, access, and devices across various operating systems, enabling secure and frictionless access to resources through features like single sign-on, multi-factor authentication, and a Zero Trust ...

Internet Software & Services
251-1K
Founded 2013
$417M raised

Description

  • Partner with business and product teams to turn ambiguous problems into analytical questions, hypotheses, and recommendations.
  • Analyze 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 using statistical and business context.
  • Develop dashboards, automated reporting, and analytical pipelines for decision-making.
  • Build or contribute to AI-enabled analytics solutions and decision-making tools.
  • Collaborate with data engineering teams to improve data definitions, datasets, metric consistency, and data quality.
  • Present findings and recommendations to business stakeholders with clear storytelling.
  • Own analytical problems end to end, from problem definition through recommendation and implementation.

Requirements

  • 3–5 years of overall experience, including relevant internships.
  • 1–3 years of relevant experience in data analytics, product analytics, data science, or a related field.
  • Strong working knowledge of SQL and the ability to independently analyze 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 associated analytics frameworks.
  • Ability to build scalable analytical outputs rather than repeatedly solving the same problem with manual analysis or dashboards.
  • Familiarity with data platforms such as Tableau, Snowflake, Databricks, or comparable tools.
  • Prior exposure to machine-learning models, including data preparation, feature engineering, model validation, and performance evaluation, is a plus.
  • Exposure to fintech, SaaS, consumer technology, or digital-product environments is a plus.
  • Experience working directly with stakeholders such as product managers, business leaders, engineers, or operations teams is a plus.
  • Must be located in and authorized to work in India.
  • Must be able to overlap with the MT zone for the first two hours of the business day.
  • Must speak and write English fluently.

Benefits

  • Remote-first work environment within the country of employment.
  • Opportunity to work with a fast-moving SaaS company on AI-powered IT management.
  • Exposure to cross-functional work with product, business, engineering, and leadership teams.
  • Chance to contribute ideas and influence product and feature thinking.
  • Work in a mission-driven, globally distributed organization.
  • Equal opportunity employment consideration for all applicants.

Interested in this position?

Apply directly on the company website

Apply Now

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