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Senior Analytics Engineer - Mexico
JumpCloudPosted 2/21/2025
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Senior Analytics Engineer - Mexico
JumpCloud
Job Location
Job Summary
JumpCloud is a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. As a Senior Analytics Engineer, you will play a critical role on the Enterprise Data and Analytics (EDA) team, driving JumpCloud's core reporting, curation, data modeling, and enabling self-service across the analytics team and organization. You will collaborate with stakeholders, drive large projects involving data modeling and data curation, and mentor other analysts and engineers. The ideal candidate has advanced knowledge in SQL, relational databases, Snowflake, and data modeling, as well as experience with scripting languages like Python and R. JumpCloud is a remote-first company, committed to being flexible and supportive of its employees' needs.
Job Description
What you’ll be doing:
- Collaborating and driving large, impactful projects involving data modeling and data curation for optimized analytics and business use with involvement across various stakeholders, business units, and technical partners.
- Owning the outcomes of the analytics initiatives you’re leading. You’re not just a participant in the initiative, you hold yourself responsible for the outcome of the project.
- Gathering requirements and providing actionable recommendations to technical stakeholders, driving adoption and execution of recommendations.
- Mentoring and growing the other analysts and engineers across the organization. We’ve got a great organization full of a lot of potential, you’ll be helping the other members of the organization achieve their potential.
- Supporting team's project management, strategic decision-making, and long-term planning.
- Staying up-to-date on industry trends, emerging technologies, and best practices in analytics engineering, data modeling, and data governance and applying them to support our business needs.
We’re looking for:
- Advanced knowledge and experience in SQL and relational databases; Snowflake experience highly preferred.
- Advanced knowledge in data modeling, data infrastructure, and ELT process to support analytics and business operations. DBT and GitHub experience are highly preferred. Airflow experience a plus
- Advanced understanding of coding and markup languages and can create complex queries from multiple data sources, views, and tables and have an understanding of our company's data architecture and how to apply it.
- Intermediate knowledge and experience with scripting languages such as Python (Jupyter, Pandas, Numpy) and/or R (tidyverse, dplyr, ggplot2) a plus
- Advanced quantitative experience, SaaS industry preferred.
- 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.
- Strong 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 cross-functional teams 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, or another quantitative field.