Analytical Backbone

About the job

Location : Remote (preference for India) Type : Full-Time Role Summary You will be the analytical backbone for Emergence — driving insights across GTM performance, pipeline health, company diligence, and portfolio monitoring. This role sits at the intersection of GTM analytics, investment-style diligence, and operational intelligence , supporting decisions across sourcing, qualification, deal evaluation, and portfolio oversight. Key Responsibilities GTM & Pipeline Intelligence • Analyze funnel health, scoring accuracy, enrichment gaps, stalled deals, and sequencing performance. • Identify misroutes, inefficiencies, and high-value leads handled incorrectly. • Build dashboards for sourcing efficiency, outreach performance, and pipeline movement. Company Diligence & Investment Insights • Evaluate companies using ARR trends, unit economics, growth signals, product / GTM indicators, and market data. • Surface early red flags and high-potential opportunities. Portco Performance Monitoring • Track KPIs across revenue, GTM, hiring, product, and operations. • Flag early risk signals (e.g., pipeline slowdown, churn risk, quota shortfalls). • Provide monthly summaries for leadership on performance and areas for improvement. Data Quality & Systems Support • Maintain clean, consistent datasets across CRM, enrichment tools, and internal systems. Dashboarding & Insight Generation • Build clear, actionable dashboards and proactively surface insights and recommendations that influence GTM strategy, deal prioritization, and portfolio actions. Data Foundations & Modeling • Define ideal field structures, transformations, and validation rules. • Guide engineering on how to organize and model data to support accurate scoring, ICP classification, GTM workflows, and reporting. Requirements Core Skills • Strong SQL + comfort with complex, messy datasets. • Experience building dashboards (Metabase, Looker, PowerBI, Tableau). Qualifications • Bachelor’s degree in Engineering, Computer Science, Statistics, Economics, Finance, Data Analytics, or a related quantitative field (or equivalent practical experience). • 3-7 years of relevant professional experience in data analysis, business analytics, investment analytics, or operational analytics roles. • Experience working with complex, multi-source datasets across CRM, financial systems, enrichment tools, or operational platforms.

Requirements

• SQL
• Data Analysis
• GTM Analytics
• Dashboard Creation
• Data Structures

Qualifications

• Bachelor’s degree in a relevant field
• 3-7 years of relevant experience

Preferred Technologies

• SQL
• Data Analysis
• GTM Analytics
• Dashboard Creation
• Data Structures