Staff Decision Scientist, Sales

ERLPhase Power Technologies Ltd.

. Decide which Sales problems are real and which only appear real before solutions are built .

Posted 11/10/2026full-timeLondon • United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in B2B pricing strategies and commercial decision-making, with a strong foundation in SQL and analytical frameworks to drive sales performance and operational efficiency.

Highest-signal resume keywords

B2B Pricing OwnershipCustomer Valuation MethodsSQL FluencySales ForecastingAnalytical Influence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ApplicationsDecision-Making FrameworksUnit EconomicsLifetime Value Analysis

Soft Skills

Influencing LeadersCollaborationAnalytical ThinkingEntrepreneurial Drive

Tools & Technologies

ClaudeData MonitorsAlerts

Industry Keywords

Sales Decision-MakingOperational ResearchData ScienceLogistics Operations

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Decide which Sales problems are real and which only appear real before solutions are built
Design Sales decision-making frameworks, including signals, client or shop value, and success measures
Advise the sales lead on what to change or stop and secure decisions
Build data applications, monitors, and alerts using Claude and agents
Investigate discrepancies between data and physical operations, such as new shops or parcels at sort centres
Get missing data built and prove whether changes worked
Help Sales prioritize prospects, evaluate clients and shops, and forecast whether quarterly targets will be achieved
Collaborate with analytics, operational research, data science, engineering, and analytics engineering teams

Requirements

What you’ll need

Experience owning B2B pricing or commercial decisions and their number
Hands-on experience building customer or deal valuation methods, including unit economics or lifetime value
Experience influencing leaders, teams, or sales decisions through analytical work
Experience getting records created by teams outside your reporting line
Ability to forecast whether a quarter will land and identify early warning indicators
Hands-on fluency in SQL, with or without AI
Appetite to learn a physical logistics operation quickly
Strong technical fundamentals and entrepreneurial drive

Benefits

Comp & perks

Equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives