Jobs at TRG Screen

Entry-level market data analyst role supporting data collection, cleaning, quality monitoring, and analysis for financial clients. Build dashboards, use proprietary platforms and AI/ML tools to automate processing, support senior analysts, and present findings to stakeholders.

The Data Architect will unify and govern data structures across multiple products, facilitate data contracts, lead master data management, and define Lakehouse architecture for enhanced analytics and AI-driven solutions.

Lead the migration and ownership of AWS infrastructure, ensuring stability and operational standards. Optimize cloud costs and support product teams.

Lead and execute ABM programs targeting 50-100 priority financial services accounts. Build campaign plans using intent and account data, create assets and playbooks, configure segments/workflows, run bespoke landing pages, email sequences and webinars, build reporting dashboards to measure engagement and pipeline influence, enable sales with Gong-driven insights, and support customer marketing for retention and expansion.

Support full-cycle recruitment for technical and non-technical roles across regions. Source, screen, coordinate interviews, manage offers, track recruiting metrics, partner with hiring managers and agencies, assist hiring events, maintain job postings, and help refine Talent processes and tools.

Lead a portfolio of SaaS products in market data and subscription cost management. Define product vision, roadmap, and KPIs; manage and mentor product managers; drive Scaled Agile/Scrum processes, cross-functional collaboration, GTM planning, and continuous product development improvements to deliver customer-driven outcomes.

Own end-to-end product launches and go-to-market for enterprise SaaS, translating technical capabilities into buyer-focused messaging. Build sales enablement, competitive intelligence, and launch plans; coordinate Product, Sales, and Customer Success to drive adoption and revenue.

Turn revenue data into actionable insights and remove operational friction across GTM teams. Build and maintain revenue reporting, optimise GTM processes and cadences, support forecasting and QBRs, and partner cross-functionally to implement scalable solutions and data hygiene practices that improve pipeline, forecast accuracy, sales productivity, and customer retention.