Data Analyst performing analysis of client data and business processes for Raiffeisen Bank. Involvement in report development and data preparation using SQL and Python.
About the role
- Data Analyst for intranet software company analyzing commercial data and providing insights. Collaborate with executives to enhance data-driven decision making.
Responsibilities
- Act as a hands-on, engineering-minded analyst who gets deeply intimate with the data across our commercial and financial systems.
- Work at the row level across millions of records—sampling, investigating, validating, and scripting—to build a precise, trustworthy picture of our marketing and sales funnels, revenue movements, and financial performance.
- Maintain and refine existing frameworks while also undertaking exploratory analysis to uncover new patterns, test emerging hypotheses, and surface insights.
- Deliver insights and automated data pipelines that stakeholders can rely on without second-guessing.
Requirements
- Experience working with SaaS commercial data: ARR, churn, MRR, pipeline, funnel metrics, and unit economics.
- Demonstrable experience reconciling data across disparate systems (CRM, finance/ERP, invoicing, marketing automation).
- Ability to work autonomously and deliver work that senior stakeholders trust without needing to verify—accuracy is non-negotiable.
- A collaborative mindset with the confidence to work alongside experienced executives, taking steer on domain-specific questions while owning the analytical process end to end.
- Excellent communication skills and executive presence; comfortable presenting to C-suite and private equity audiences.
- Strong academic background (quantitative degree preferred: Mathematics, Statistics, Economics, Computer Science, Engineering, or similar).
- Experience in a PE-backed SaaS environment or with investor reporting.
- Proficiency in data visualisation tools (Power BI, Tableau, Looker) for dashboards and KPI reporting.
- Knowledge of ETL workflows and data modelling concepts.
- Experience with Salesforce, HubSpot, and Sage or similar finance systems. Familiarity with forecasting, capacity planning, or operational KPIs (utilisation, SLA performance, customer health).
Benefits
- 25 days annual leave (with the option to buy and sell additional days)
- Cycle to work scheme
- Access to Learning & Development platform
- Life Insurance
- Auto Enrolment Pensions
- Healthshield (Cashback on dental check-ups and fillings, eye tests, physiotherapy, prescriptions and much more)
- Reimburse for usage of personal mobile phone
- Free Gym membership and Free Friday lunch for office based staff
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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