Why This Job is Featured on The SaaS Jobs
SaaS companies rely on a tight feedback loop between product usage, revenue performance, and operating spend, and this Corporate Business Intelligence analyst role sits directly on that interface. With close alignment to BI leadership and FP&A, the position signals a data function oriented toward decision support rather than standalone reporting—an increasingly common model in subscription businesses where forecasting and performance visibility are continuous.
For a SaaS career track, the value is in building durable competencies around metric definition, reporting governance, and model-driven planning. Work that spans dashboards, variance analysis, and long-range planning translates well across SaaS environments because it reinforces how recurring revenue, retention, and go-to-market choices show up in financial outcomes. Exposure to automation and modern BI tooling also supports progression toward analytics engineering, strategic finance analytics, or broader business operations roles.
This role is best suited to an analyst who prefers structured problem-solving, high data hygiene standards, and regular collaboration with finance stakeholders. It fits someone early-to-mid career who wants to deepen technical fluency (e.g., visualization, warehousing, SQL/Python) while staying anchored to business impact and executive-ready narrative.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Leveraging data insights for strategic planning!
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!
As our Data Analyst you will:
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.
What would make you stand out:
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!
Join the Coveolife!
We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
