About the role
- Gather and analyze stakeholder requirements to define POC objectives and success criteria
- Perform in-depth research on FP&A and modeling methodologies relevant to client verticals
- Design and build tailored, scalable POCs using Datarails best practices in data integration, modeling, automation, and visualization
- Collaborate with Solution Consultants to align expectations, support presentations, and iterate on POCs
- Document and maintain POC artifacts, version history, templates, and reusable components
- Share insights and continuously improve internal POC development processes
Requirements
- Previous experience working with Datarails or similar FP&A software solutions
- Strong understanding of FP&A concepts and P&L, balance sheet and cash flow modeling principles
- Ability to work cross-functionally with Sales, Presales, Product, and Marketing teams
- Strong analytical and problem-solving skills with ability to translate customer needs into demo solutions
- Excellent verbal and written communication skills; ability to articulate complex technical concepts clearly
- Must be based in the UK; no sponsorship or relocation assistance available
- Competitive compensation, ongoing recognition, and, most importantly, a chance to learn, contribute, and develop your skills.
- A supportive, agile, and creative work environment with brilliant colleagues!
- Private medical and dental insurance through BUPA
- Pension scheme with salary sacrifice OR net pay options with 3% employer pension contribution
- 20 days of PTO + 8 paid company holidays
- 7 days of company-provided sick leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data integrationdata modelingautomationdata visualizationFP&A methodologiesP&L modelingbalance sheet modelingcash flow modelingPOC developmentanalytical skills
Soft skills
problem-solvingcommunication skillscollaborationstakeholder managementcross-functional teamworkpresentation skillsinsight sharingprocess improvement