Full-Time Senior Data Analytics Engineer

As a Senior Analytics Engineer at Blackpoint Cyber, you will be at the forefront of shaping our data architecture and analytics capabilities. This fully remote role offers an exciting opportunity to contribute to a dynamic and growing BI team. 

You will collaborate closely with cross-functional teams, including product engineering, finance, marketing, sales, and customer success, to support internal stakeholders and enhance our analytical platform. The successful candidate is a self-driven expert in their space and can both set the strategy and hands-on execute on it.  

This is a fully remote role based in the US, preferably in the East Coast region.   

Responsibilities:  

• Data Architecture: Design and support new data architecture to centralize our analytics data with robust, reliable data pipelines.  
• Data Modeling with dbt Expertise: Architect and build company-wide centralized data models using dbt, ensuring reliability, stability, and accuracy. Be an advocate for dbt best practices.  
• Data Governance and Testing: Promote best practices around data governance, accuracy, and testing, ensuring high-quality and reliable data. Set up alerting and data anomaly detection for proactive identification of data integrity errors.  
• Data Democratization: Enable data democratization and data literacy through documentation, training, and self-service tooling.  
• Power BI Support: Assist in report designs using Power BI, contributing to the visualization of accurate insights.  
• Cross-Team Collaboration: Collaborate with various teams and stakeholders, requiring effective communication skills and initiative.  
• Team Player: Collaborating, upskilling teammates, knowledge sharing.  

Qualifications:  

• 6 – 8 years of experience in analytics engineering, data analytics, working with data warehouses, modeling, and BI platforms.  
• A relevant bachelor's degree in computer science, Information Systems, or a related field.  
• Expert-level proficiency in SQL, with knowledge of advanced concepts like window functions and query optimization.  
• Extensive experience and expertise with dbt. Be an advocate for dbt best practices.  
• Expert knowledge of ETL/ELT  
• Strong project ownership skills, translating loosely defined business requirements into actionable plans.  
• Self-motivated with the ability to influence decisions based on data and insights.  
• Passion for working in a fast-paced, growing environment. Effectively handle multiple projects.  

Bonus Points:  

• Experience with Stitch, Fivetran, Rivery, or Segment tools.  
• Proficiency in Power BI, Power Query, Python or R.