Data analyst | Mid

As a Mid Data Analyst at Nord Security, you will be responsible for analyzing large datasets to identify trends and create comprehensive reports. Your role includes defining KPIs, ensuring data accuracy, and presenting your findings to both technical and non-technical teams. Collaborating cross-functionally, you’ll help support data-driven business strategies and decisions, making your insights invaluable to our growth.

To be considered for the Mid Data Analyst role at Nord Security, candidates should have demonstrated experience with SQL, data manipulation, and analysis. Familiarity with BI tools like Tableau, Looker, or Power BI is crucial. Strong communication skills, attention to detail, and a passion for data storytelling are also key qualifications we’re looking for.

The Data Analyst role at Nord Security will involve using powerful tools such as Google BigQuery, Looker, Google Analytics 4, and traditional spreadsheet tools like Google Sheets and Excel. Comfort with these tools will enable you to uncover actionable insights that drive our business forward.

Nord Security is deeply committed to the professional growth of its employees, including Mid Data Analysts. We offer access to various internal and external learning opportunities, including online training, conferences, and books. With us, you're not just a number; you're a future shaper!

The salary range for the Mid Data Analyst position at Nord Security is between 2200 and 4500 EUR per month, reflecting our commitment to attract top talent while valuing the expertise and contributions of our team members.

To analyze complex datasets, start by clearly defining your objectives. Use SQL to extract relevant data, then clean and structure it for analysis. Utilize BI tools to visualize trends and patterns, and ensure to validate your findings to ensure accuracy before presenting.

When answering this question, highlight a specific instance where your data insights directly influenced a decision. Describe the methods you used for your analysis, the results, and the impact it had on the business strategy or operations at Nord Security or a previous job.

Be sure to mention specific tools such as Tableau, Looker, or Power BI. Explain how you’ve utilized these tools to create dashboards or visualizations, providing examples of reports you've generated that supported business decisions.

Emphasize the importance of data validation and governance in your process. Discuss common methods you use to check data integrity, such as cross-referencing datasets and building automated checks into your reporting process.

You should focus on clarity and engagement when presenting data insights. Use visualizations, simplify complex information, and tailor your message to your audience—whether they are technical or non-technical stakeholders—to ensure they can easily understand the implications.

Explain your approach to identifying KPIs, which often involves understanding the project's goals first. Then, you would analyze what data points align most closely with those goals to measure success effectively during the project lifecycle.

Share specific statistical analysis methods you've performed, such as regression analysis, A/B testing, or variance analysis. Explain how you’ve employed these methods in past projects to derive insights that contributed to strategic decisions.

Highlight your collaborative skills and provide examples of how you’ve communicated with team members from different departments. Discuss how you’ve contributed to a shared understanding of data insights that drove joint decisions or strategies.

Outline your approach to resolving conflicting data, such as conducting deeper investigations into data collection methods, consulting with teams for context, and determining the most credible sources to clarify the discrepancies before forming conclusions.

Demonstrate your commitment to continuous learning by discussing how you use resources such as online courses, webinars, and industry publications. Highlight any specific communities or forums you participate in to stay updated on the latest tools and methodologies in data analytics.