Product Analytics Engineer
Hybrid
Full Time
#Technology
#Product
#SQL
#Data Visualization
#Machine Learning
#Data Pipelines
#Data
Since 2012, Odaseva has dedicated itself to helping global enterprises secure and protect their most critical asset, which is their data. We provide a robust platform that empowers organizations to combat emerging threats, maintain operational integrity, and navigate complex data regulations. With a footprint spanning from San Francisco to Paris and beyond, we support over 100 million Salesforce users across Fortune 500 companies, government agencies, and NGOs. Our culture is built on a foundation of trust, excellence, and a commitment to kaizen, and we are looking for passionate individuals to join our mission as we continue to scale.
The role
We are looking for a Senior Product Analytics Engineer to join our team on a full-time, hybrid basis within the United States. This position is a unique opportunity for a technical expert who also possesses strong business acumen. You will sit at the intersection of data engineering and product analysis, playing a vital role in the development of our analytics and AI platform while ensuring our data infrastructure remains scalable and accurate.
Core responsibilities
- Platform Ownership: Take charge of the development and maintenance of our analytics and AI tools, ensuring that our data pipelines are reliable, high-quality, and capable of supporting our evolving business needs.
- Customer-Facing Analytics: Collaborate closely with our product team to design and deliver insightful analytics features that empower our customers to make informed decisions using their own data.
- Strategic Insights: Serve as the authority on product usage and customer behavior, translating complex datasets into actionable narratives that guide our product roadmap and optimize investment strategies.
Skills and experience
To succeed in this role, you should bring a blend of technical depth and communication skills. We require the following qualifications:
- A Bachelor’s degree in Computer Science, Data Science, Statistics, Economics, or a related field.
- At least 7 years of experience in a data analysis role, ideally within a technology or product-focused environment.
- Advanced SQL proficiency for querying and optimizing large-scale datasets.
- Experience with data visualization tools such as Tableau, Looker, or Salesforce CRM Analytics.
- Technical expertise in data pipelines, cloud data warehousing, and data modeling.
- Proficiency in scripting languages like Python or R for data processing.
- Familiarity with machine learning techniques and statistical analysis.
- Strong communication skills, with a proven ability to explain complex technical findings to non-technical stakeholders.
Compensation and benefits
We are committed to supporting our team members through a flexible work environment. This role offers the following benefit:
- Hybrid work arrangements to provide balance and flexibility.
How to apply
If you are a self-motivated professional with a passion for data-driven product development, we would love to hear from you. Please submit your application to be considered for this opportunity to help us shape the future of data security and analytics at Odaseva.










