Data Scientist - Analytics Engineer
Description For Data Scientist - Analytics Engineer
Cyderes (Cyber Defense and Response) is seeking a Data Analytics Engineer to join their Managed Services Engineering team. This role involves designing and implementing business visualizations and dashboards to deliver security data insights to clients using Looker. The ideal candidate will have experience in software development, data science, or data analytics engineering, with proficiency in SQL, Python, or similar languages. They should be able to translate business requirements into useful visualizations, provide production support, and assist with data model development and machine learning implementation.
Key responsibilities include:
- Designing and implementing business visualizations and dashboards
- Providing production support for Looker dashboards and reporting
- Translating business requirements into visualizations and reports
- Analyzing and enhancing existing dashboards
- Assisting with data model development and machine learning implementation
- Solving complex business intelligence challenges
- Advocating for efficient and positive user experience
- Leading technical implementations of roadmap items
- Collaborating with senior developers to improve codebase and system reliability
Requirements:
- Minimum 2 years experience in software development, data science, or data analytics engineering
- Proficiency in SQL, Python, or similar languages
- Experience with BI tools like PowerBI
- Strong communication skills
- Knowledge of data analytics and data science
- Experience with big data platforms like Looker
- Understanding of dashboard design and UI/UX concepts
- Familiarity with containerization (Kubernetes / Docker)
- Knowledge of cybersecurity principles or MSSP experience
- Familiarity with Google BigQuery and Looker
- Machine learning experience
Cyderes offers a dynamic work environment in a rapidly evolving field, with opportunities for continual learning and tackling complex problems. They have a global presence with operating centers in the United States, Canada, the United Kingdom, and India. Join Cyderes to accelerate clients' cyber outcomes through a full lifecycle of cybersecurity services.
Responsibilities For Data Scientist - Analytics Engineer
- Design and implement business visualizations and dashboards to deliver security data insights to clients
- Provide production support for Looker dashboards and reporting
- Translate business requirements into useful visualizations, dashboards, and reporting
- Analyze existing dashboards to provide feedback and continually enhance them
- Assist with data model development and machine learning model implementation
- Provide production support and solve complex business intelligence challenges
- Advocate for an efficient and positive user experience (UX) for our clients
- Help lead technical implementations of roadmap items
- Help other engineers fix their code or solve complex problems
- Work with senior developers and leadership to improve codebase and system reliability
Requirements For Data Scientist - Analytics Engineer
- Minimum of 2 years in software development, data science, or data analytics engineering
- Proficiency in SQL, Python, or similar query/coding languages
- Prior experience in analytics or a BI tool supporting building dashboards (such as PowerBI)
- Strong written and oral communication skills
- Knowledge in data analytics, data science, or related quantitative field
- Prior experience building visualizations in popular big data platforms (such as Looker)
- Knowledge of best practices for dashboard design, including UI/UX concepts
- Practical knowledge of containerization and orchestration (Kubernetes / Docker)
- Familiarity with fundamental principles of cybersecurity, or MSSP experience
- Familiarity with Google BigQuery and Looker
- Machine learning experience
Benefits For Data Scientist - Analytics Engineer
- Equal Opportunity Employer
