Analytics Engineer | Mid-Senior | Finance Team

At Nord Security, a company specializing in cyber security and privacy solutions, the Finance team is seeking an Analytics Engineer to contribute to data analytics and transformation workflows that support business needs.

• Proven experience in Analytics Engineering or a similar role.
• Strong SQL skills, with the ability to write clear, maintainable, and efficient queries.
• Experience working with cloud data warehouses (e.g., BigQuery, Snowflake).
• Hands-on experience with dbt as a transformation tool for building analytics workflows using SQL.
• Knowledge of ETL tools (Airflow, Fivetran).
• Solid understanding of data modeling and data transformation techniques.
• Excellent written and spoken English communication skills.
• Strong problem-solving mindset and ability to work independently while managing multiple priorities.

Nice to have:

• Experience with programming languages such as Python or R.
• Experience with Git, Scrum methodologies, and Agile development practices.

• Design and implement data transformation workflows using dbt to create reusable, analysis/chatbot-ready data assets aligned with business requirements.
• Collaborate with stakeholders to gather data and analytics needs, translating them into technical specifications and scalable data models.
• Work closely with data engineers to build efficient, scalable, and reliable data models and pipelines for current and future use cases.
• Implement data quality checks and monitoring processes to ensure data accuracy, consistency, and completeness.
• Promote and support the adoption of software engineering best practices in analytics, including version control, code reviews, and automated testing to ensure code quality and readability.
• Document data transformations and implement best practices.

Candidates must provide accurate and complete information during recruitment. Limited use of AI tools to refine application materials is acceptable, but candidates are responsible for submissions. Applications may be processed using automated AI-based evaluation tools to assist human decision-making. Candidates may opt out of automated evaluation by submitting applications to a specific email. Contact [email protected] for data privacy inquiries.