RevOps Analyst – Data & Reporting
Company: Trademo
Website: www.trademo.com
Location: Gurgaon, On-site
About Trademo
At Trademo, we are transforming global trade and supply chains by leveraging cutting-edge AI technology to provide businesses with unparalleled visibility, compliance, and intelligence solutions. Our AI-driven platform simplifies the complexities of international trade, helping companies mitigate risks, enhance efficiency, and make data-driven decisions with confidence.
Our AI-Enhanced Solutions
- Trademo Intel: AI-powered trade intelligence to uncover market trends and competitive insights.
- Trademo Sanctions Screener: AI-driven compliance with 650+ global sanctions and PEP lists.
- Trademo Global Trade Compliance: Real-time regulatory and tariff data for 140+ countries, with AI workflows for HS/ECN classification, controls determination, and licensing.
- Trademo Map: AI-powered global supply chain mapping and screening, detecting risks like Forced Labor (UFLPA) and sanctions in deep-tier networks.
- Trademo TradeScreen: AI-powered trade transaction digitization, financial crime screening, and compliance platform.
Trademo collects and integrates diverse open-source data points to create our AI-driven knowledge graph, TrademoKG. These data points include Customs Declarations, Shipping Data, Satellite Data, AIS Data, Vessels, Web Footprints, Global Tariffs & Duties, FTAs, Import/Export Controls, Export Licenses, Key Personnel & Ownership, Company Financials, and Company Legal information.
By analyzing trade data from 200+ countries, Trademo uses AI to provide deep insights, ensuring visibility and compliance across global supply chains.
Founded by Shalabh Singhal, who is a third-time tech entrepreneur and an alumnus of IIT BHU, CFA Institute USA, and Stanford GSB SEED. Trademo is backed by a remarkable team of leaders and entrepreneurs like Amit Singhal (Former Head of Search at Google), Sridhar Ramaswamy (CEO, Snowflake), and Neeraj Arora (MD, General Catalyst & Former CBO, WhatsApp Group).
What You Will Do?
1. Market Research & Data Operations
- Research target accounts, contacts, and buying signals based on defined Ideal Customer Profiles (ICPs) and buyer personas to support GTM campaigns.
- Build, consolidate, and maintain standardized data repositories for account-based marketing (ABM), outbound, and other campaigns.
- Establish consistent data enrichment and contact identification workflows across Business Development, Sales, Marketing, and Customer Success teams.
- Manage data mining operations across tools and platforms, optimizing workflows and credit usage for efficient data sourcing.
- Ensure data deduplication, accurate account and contact ownership, and resolution of ownership conflicts during BDR assignment.
2. Salesforce Data Management & Automation
- Maintain accurate and standardized Salesforce (SFDC) records across accounts, contacts, leads, and opportunities through data cleansing, deduplication, and field standardization.
- Manage lead imports, routing, and assignment for ABM, outbound, marketing-sourced, and third-party campaigns, ensuring correct ownership by BDRs and sales teams.
- Build and maintain Salesforce Flows, validation rules, and declarative automation to streamline lead management, improve data quality, and support reporting.
- Integrate Salesforce with Slack, GPT tools, data mining platforms, and sales automation tools to improve visibility into data ownership, campaign volumes, engagement, and pipeline effectiveness.
- Apply an understanding of Salesforce data models, object relationships, and security settings, including profiles, permission sets, roles, and sharing rules, to support accurate data access and report visibility.
3. Pipeline Analytics & Reporting
- Track pipeline performance, lead progression, and conversion metrics, including prospect-to-lead, MQL-to-SQL, and lead-to-opportunity conversions.
- Create, update, and maintain reports and dashboards to monitor sales performance, pipeline effectiveness, campaign engagement, and data hygiene, providing actionable insights to stakeholders.
Desired Profile
- 1–3 years of experience in Sales Operations, Marketing Operations, Data Analysis, Revenue Operations, MIS, Business Operations, or a similar role.
- Good understanding of sales pipeline tracking, sales funnel metrics, lead conversions (MQL/SQL), and sales forecasting.
- Proficiency in MS Excel/Google Sheets, data cleaning and standardization, raw data management, and reports/dashboard creation.
- Strong analytical and problem-solving skills, with the ability to interpret stakeholder requirements and engage in efficient project management workflows to deliver sales data, maintain data accuracy, and generate actionable business insights.
Read by ReLoop.me
A hands-on analyst role keeping sales data clean, Salesforce workflows running and pipeline reporting accurate for go-to-market teams.
Level (indicative): Demonstrated. Title vs scope: aligned. Requirement inflation: none. Shape of the role: strongly individual contributor; leans execution.
Core capabilities: Salesforce data management and automation, sales pipeline and conversion analytics and data cleansing and deduplication.
Not for you if you want to manage a team of people, or you want to define strategy rather than execute it.
Indicative, AI-generated read, no salary range. Full read and sourcing · ReLoop.me
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