Senior Analytics Engineer

Description

About Cyera 

Cyera is on a mission to protect one of the world's most valuable resources: data. Our AI-native platform gives organizations a complete view of where their data lives, how it’s used, and how to keep it safe, so they can reduce risk and unlock the full value of their data, wherever it is.

Since our founding in 2021, we’ve grown fast- Cyera-fast - securing over $760 million in funding from the biggest pockets on the planet and establishing a global team. Today, Cyera is the fastest growing data security company in the world, trusted by the Fortune 500 and beyond.

Requirements

About the Role:

We are looking for a highly skilled BI Developer to join our Analytics team. The ideal candidate will bridge the gap between data engineering and data analysis, ensuring that high-quality, well-structured data is available for our business intelligence, reporting, and analytical needs. This role is perfect for someone who enjoys working with data, loves problem-solving, and has a keen interest in driving business decisions through actionable insights.

What You’ll Do:

1. Data Modeling and Transformation: Design, develop, and maintain data models that make data easily accessible and understandable to stakeholders. Use tools like dbt (Data Build Tool) to transform raw data into actionable analytics.
2. Data Pipeline Development: Build, optimize, and maintain ETL/ELT pipelines to ensure data is clean, reliable, and timely. Work with data engineers to ingest and process data from various sources.
3. Collaboration with Stakeholders: Work closely with data analysts, data scientists, and business stakeholders to understand their data needs and provide technical expertise on data structuring.
4. Performance Optimization: Continuously monitor and improve data processes to ensure scalability and performance efficiency, including query optimization and data storage best practices.
5. Data Quality and Governance: Implement data validation, monitoring, and governance practices to ensure data accuracy, consistency, and security.
6. Tooling and Automation: Develop tools and scripts to automate routine tasks and improve the efficiency of data workflows.
7. Documentation: Maintain thorough documentation of data models, data pipelines, and processes to ensure data transparency and team knowledge sharing.
8. Troubleshooting and Support: Identify and resolve data-related issues, troubleshoot data discrepancies, and provide support to data users.

Must-Haves:

• Education: Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field. Equivalent work experience is also considered.
• Experience: 6+ years of experience in BI developer, analytics engineering, or a similar role, with a strong focus on data transformation and modeling.
• Technical Skills: Proficiency in SQL, Python, and data transformation tools such as dbt. Experience with cloud data warehouses like Snowflake, BigQuery, or Redshift.
• Data Warehousing: Solid understanding of data warehousing concepts, dimensional modeling, and data schema design.
• ETL/ELT: Experience with ETL/ELT processes and tools such as Apache Airflow, Fivetran, or similar.
• Analytical Skills: Strong problem-solving skills with the ability to analyze complex datasets and communicate findings effectively.
• Version Control: Familiarity with version control systems like Git for managing data pipeline changes.

Soft Skills: Excellent communication skills, ability to work cross-functionally, and a collaborative mindset.

Why Join Us?

At Cyera, we care about collaboration, innovation, and agility. We take “teamwork” seriously—with our inclusive and supportive culture at the forefront—and we’re just as serious about nurturing Cyerans to grow, both personally and professionally.

Feel free to apply even if your experience doesn’t tick every box.

We’re building something special here—and we welcome Cyerans with diverse backgrounds, perspectives, and experiences.

Location Requirements