OpenEye
OpenEye, the cloud video platform company, provides solutions for video security, business intelligence and loss prevention. For over 20 years, OpenEye has been committed to developing an easy-to-use, comprehensive video management system backed by Heroic Customer Service® and support. Our on-site and cloud-based products can be found protecting schools, hospitals, banks, retail stores, and other facilities around the world. OpenEye’s solutions are available globally through a trusted network of certified service providers. OpenEye is a subsidiary of Alarm.com. Learn more at www.openeye.net.
Job Summary OpenEye is seeking an Analytics Engineer II to join our Data Platform Team, a group dedicated to ensuring that enterprise data is accurate, reliable, and usable for AI, analytics, and business decision-making.
Working as a core member of the Data Platform Team, the Analytics Engineer will champion data cleanliness, modeling, and accessibility across the organization. You will transform complex, raw data into structured, business‑ready datasets that power everything from AI‑enabled features to product analytics and Customer Success insights. This work includes investigating and resolving data anomalies, restructuring or labeling data as needed, identifying and driving the capture of missing data points, and preparing AI‑ready datasets to support prompt engineering and model optimization.
In addition to core analytics engineering responsibilities, this position plays an important role in facilitating the data and analysis needs of the Customer Success organization, supporting high‑value reporting and analytics initiatives that ensure the enterprise operates from consistent, trusted, and well‑structured data.
Role and Responsibilities
Design, build, and maintain analytics‑ready data models that support AI, product, and reporting needs
Apply consistent business logic, definitions, and transformations to ensure a single source of truth
Optimize data transformations for performance, scalability, and maintainability
Create and maintain documentation for datasets, models, and transformation logic
Ensure the accuracy, completeness, and reliability of key datasets across the enterprise
Collaborate with Database Engineers on schema design, indexing strategies, and governance standards
Implement and maintain data quality checks, validation rules, and monitoring processes
Work with engineering, product, AI, and business teams to understand requirements and deliver high‑value datasets
Partner with Customer Success, Product, and analytics stakeholders to ensure datasets meet operational and strategic needs
Support the AI Engineering and Enablement team by preparing AI‑ready datasets for copilots, agents, prompt engineering, and other AI solutions
Enhance ingestion pipelines and collaborate on data integration projects to improve data availability and quality
Support teams using Power BI, including designing optimized datasets and collaborating on semantic model design to ensure consistent metrics and reporting
Contribute to the ongoing evolution of Data Platform Team practices, tools, and standards
Stay current with industry trends in analytics engineering, integration, semantic modeling, and AI data readiness
Identify opportunities to improve data workflows, reduce technical debt, and accelerate time‑to‑insight
Other duties as assigned.
Qualifications
Bachelor's degree in Computer Science, Data Engineering, Analytics, or a related field
2–5 years of professional experience
Advanced SQL skills and experience with relational databases such as MySQL, PostgreSQL, or MSSQL
Proven experience in building and maintaining analytics ready data models and transformations
Hands-on experience with BI tools such as PowerBI or Tableau
Ability to quickly learn new technologies and practices
Excellent critical thinking and problem-solving skills
Strong quality ethic and test-first attitude
Great communication and teamwork skills
Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.
The Perks
The pay range for this opportunity is $90,000 - $125,000 annually. In addition, this position is eligible for an annual discretionary bonus.
Employees are eligible to purchase company stock at a discounted rate
Collaborative, fun, creative culture where idea sharing is encouraged
Casual dress (Jeans are welcome!)
Medical, dental, vision & prescription benefits starting day 1; generous medical plan subsidy and health savings account option with company contribution
Up to $5,000 annual company match for 401k
Company paid short-term/long-term disability, AD&D and life insurance
Paid maternity and paternity leave
15 Days of Paid Vacation accrued per year (increases after year 3)
7 Paid Sick/Wellness days per year
9 Paid Holidays per year
This position is eligible for a flexible hybrid work schedule
Educational Assistance Program covering non-degree support, undergraduate and graduate degrees
Employee Equipment Program – Free Alarm.com system for your home!
OpenEye is an Equal Opportunity Employer
Ethics and Recruiting Notice OpenEye is an Equal Opportunity Employer. In connection with your application, we collect information that identifies, reasonably relates to or describes you for human resources and other business management purposes, including recruiting and hiring, background checks, analytics, and ensuring compliance with applicable laws.
Voluntary questions related to diversity recruiting initiatives may be collected; submission is voluntary and does not affect employment decisions.
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Job Summary OpenEye is seeking an Analytics Engineer II to join our Data Platform Team, a group dedicated to ensuring that enterprise data is accurate, reliable, and usable for AI, analytics, and business decision-making.
Working as a core member of the Data Platform Team, the Analytics Engineer will champion data cleanliness, modeling, and accessibility across the organization. You will transform complex, raw data into structured, business‑ready datasets that power everything from AI‑enabled features to product analytics and Customer Success insights. This work includes investigating and resolving data anomalies, restructuring or labeling data as needed, identifying and driving the capture of missing data points, and preparing AI‑ready datasets to support prompt engineering and model optimization.
In addition to core analytics engineering responsibilities, this position plays an important role in facilitating the data and analysis needs of the Customer Success organization, supporting high‑value reporting and analytics initiatives that ensure the enterprise operates from consistent, trusted, and well‑structured data.
Role and Responsibilities
Design, build, and maintain analytics‑ready data models that support AI, product, and reporting needs
Apply consistent business logic, definitions, and transformations to ensure a single source of truth
Optimize data transformations for performance, scalability, and maintainability
Create and maintain documentation for datasets, models, and transformation logic
Ensure the accuracy, completeness, and reliability of key datasets across the enterprise
Collaborate with Database Engineers on schema design, indexing strategies, and governance standards
Implement and maintain data quality checks, validation rules, and monitoring processes
Work with engineering, product, AI, and business teams to understand requirements and deliver high‑value datasets
Partner with Customer Success, Product, and analytics stakeholders to ensure datasets meet operational and strategic needs
Support the AI Engineering and Enablement team by preparing AI‑ready datasets for copilots, agents, prompt engineering, and other AI solutions
Enhance ingestion pipelines and collaborate on data integration projects to improve data availability and quality
Support teams using Power BI, including designing optimized datasets and collaborating on semantic model design to ensure consistent metrics and reporting
Contribute to the ongoing evolution of Data Platform Team practices, tools, and standards
Stay current with industry trends in analytics engineering, integration, semantic modeling, and AI data readiness
Identify opportunities to improve data workflows, reduce technical debt, and accelerate time‑to‑insight
Other duties as assigned.
Qualifications
Bachelor's degree in Computer Science, Data Engineering, Analytics, or a related field
2–5 years of professional experience
Advanced SQL skills and experience with relational databases such as MySQL, PostgreSQL, or MSSQL
Proven experience in building and maintaining analytics ready data models and transformations
Hands-on experience with BI tools such as PowerBI or Tableau
Ability to quickly learn new technologies and practices
Excellent critical thinking and problem-solving skills
Strong quality ethic and test-first attitude
Great communication and teamwork skills
Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.
The Perks
The pay range for this opportunity is $90,000 - $125,000 annually. In addition, this position is eligible for an annual discretionary bonus.
Employees are eligible to purchase company stock at a discounted rate
Collaborative, fun, creative culture where idea sharing is encouraged
Casual dress (Jeans are welcome!)
Medical, dental, vision & prescription benefits starting day 1; generous medical plan subsidy and health savings account option with company contribution
Up to $5,000 annual company match for 401k
Company paid short-term/long-term disability, AD&D and life insurance
Paid maternity and paternity leave
15 Days of Paid Vacation accrued per year (increases after year 3)
7 Paid Sick/Wellness days per year
9 Paid Holidays per year
This position is eligible for a flexible hybrid work schedule
Educational Assistance Program covering non-degree support, undergraduate and graduate degrees
Employee Equipment Program – Free Alarm.com system for your home!
OpenEye is an Equal Opportunity Employer
Ethics and Recruiting Notice OpenEye is an Equal Opportunity Employer. In connection with your application, we collect information that identifies, reasonably relates to or describes you for human resources and other business management purposes, including recruiting and hiring, background checks, analytics, and ensuring compliance with applicable laws.
Voluntary questions related to diversity recruiting initiatives may be collected; submission is voluntary and does not affect employment decisions.
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