Data Analyst

Role Overview

• Interact provides enterprise-grade intranet software that connects over three million employees to leading global names like Levi's, Domino’s, Teva Pharmaceuticals, and Technicolor.
• Our team of customer-focused problem solvers are passionate about helping organizations to communicate better.
• Click on any of our vacancies and you’ll see one thing in common – they all begin with this message. Why? Because at Interact we treat everyone with the same respect and honesty.
• We are looking for a Data Analyst who will act as a hands-on, engineering-minded analyst who gets deeply intimate with the data across our commercial and financial systems.
• This is not a dashboarding-only role; the core objective is to 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.
• Much of the foundational work is already in place: established metrics, defined funnels, and a clear picture of what “good” looks like across the business.
• In this role you will build on that foundation—maintaining and refining existing frameworks while also undertaking exploratory analysis to uncover new patterns, test emerging hypotheses, and surface insights we haven’t yet thought to look for.
• The balance will shift between structured reporting and open-ended investigation depending on business priorities.
• You will work closely with the CEO, CFO, and the rest of the executive board, as well as representatives from our private equity partners.

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).

Tech Stack

• ERP
• ETL
• Tableau

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