Analytics engineer | Mid-senior

As an Analytics Engineer at Nord Security, your responsibilities include developing and maintaining data models using SQL, optimizing ETL/ELT pipelines for efficient data transformation, ensuring data quality through validation and testing, and collaborating with analysts and engineering teams to deliver reliable datasets. Your expertise will help shape the data strategy that drives business insights.

To apply for the Analytics Engineer position at Nord Security, you should have at least 3 years of experience in a role such as data developer, analytics engineer, or similar. Strong SQL skills are essential, and familiarity with tools like dbt, Google Cloud Console, and BI tools such as Tableau and Looker will be beneficial. Knowledge of ETL tools and Python will also give you an edge!

In your role as an Analytics Engineer at Nord Security, you will be utilizing a variety of tools including Google Cloud Platform services like BigQuery and Cloud Storage, SQL for data manipulation, as well as Looker for data visualization. Understanding ETL tools like Fivetran and being comfortable with Python will also be part of your day-to-day toolkit.

The salary range for the Analytics Engineer position at Nord Security is between 3400 and 6350 EUR per month, depending on experience and qualifications. This competitive salary reflects our commitment to attracting top talent in the industry.

As an Analytics Engineer at Nord Security, you can expect a host of benefits. These include private health insurance, mental wellbeing tools, access to professional growth opportunities, additional vacation days, and a flexible working arrangement. We prioritize our employees' health, happiness, and career advancement.

When answering this question, highlight specific projects where you've used SQL to create data models. Discuss any challenges you faced and how you overcame them, emphasizing your ability to structure complex data for analytics.

Describe your standard practices for validating and testing data during the ETL process. Mention the tools you use for data governance and any metrics you monitor to maintain high data quality.

Speak to your experience with cloud data warehouses such as BigQuery, Snowflake, or Redshift. Provide examples of how you've utilized these platforms to optimize data storage and processing in your previous roles.

Emphasize your communication skills and your process for ensuring alignment with cross-functional teams. Discuss how you handle feedback and iterate on data models or workflows based on collaborative insights.

Highlight your experience with BI tools like Tableau, Looker, or Power BI. Discuss how you used these tools to visualize data and support data-driven decision-making in projects.

Explain your methodology for documenting data transformations, including using best practices to maintain clarity and accessibility for future users of the data. Share any tools or frameworks you use for documentation.

Choose a project that showcases your leadership skills and technical capabilities. Highlight the project's goals, your contributions, and how it positively impacted the organization's data strategy or business outcomes.

Identify a specific challenge related to data engineering that you encountered, perhaps around data consistency or performance issues. Discuss the steps you took to diagnose and solve the problem, showcasing your problem-solving skills.

Share your strategies for staying current, such as following industry blogs, participating in online courses, or attending professional conferences. Mention any communities you are part of or certifications you've pursued.

Summarize your qualifications, emphasizing not only your technical skills but also your passion for data analytics and commitment to contributing to Nord Security’s mission of enhancing internet security. Share how your values align with the company culture.