Data Analyst, Business Intelligence

We are seeking a skilled and motivated Data Analyst to join our Corporate Business Intelligence team. As part of this role, you will work closely with the BI Manager and the FP&A Sr Director to support key decision-making processes, forecasting, and financial reporting. You will leverage your data analysis expertise to provide actionable insights, optimize financial models, and enhance reporting accuracy across a variety of business functions.

If you’re highly analytical, detail-oriented, and comfortable working with large datasets, this role is for you! You’ll be able to showcase your communication skills, combined with your understanding of finance and business operations. All of which will be essential in driving value through data-driven insights and recommendations!

• Develop and maintain dashboards and reports, ensuring real-time access to key stakeholders.
• Extract, clean, and analyze large datasets to uncover trends, variances, and opportunities for improvement.
• Build and support financial and analytical models to drive budgeting, forecasting, long-term planning, and key go-to-market decisions.
• Deliver data-driven insights to forecast revenue, costs, and profit margins accurately.
• Use BI tools like Sigma to convert raw data into actionable insights.
• Streamline and automate reporting processes while ensuring data accuracy and implementing best practices with the BI team.

Here is what will qualify you for the role:

• Bachelor's degree in Finance, Accounting, Economics, Business, Data Science, Statistics, Computer Science or related field.
• 2+ years of experience as a data analyst, with a strong preference for experience in financial analysis or working within an FP&A department.
• Analytic mindset with experience in complex data analysis.

• Advanced experience with data visualization tools like Sigma, Tableau or Power BI.
• Advanced experience with cloud-based data warehouse tools such as Snowflake.
• Experience in SaaS or in the technology industry.
• Proficiency in data manipulation and analysis using tools such as SQL and Python.

Do you think you can bring this role to life? Or add your own color? You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your application, we want to hear from you! 

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.