Business Analyst — Managed Services & Insights (US)
Bright Insights is the AI-powered e-commerce and retail intelligence division of Bright Data. Launched in September 2022, it bridges the gap between raw web scraping and strategic decision-making by turning public web data into actionable, real-time business intelligence.
We are looking for a Business Analyst to sit at the intersection of pre-sales, solution design, and post-sales delivery planning. This is a highly cross-functional, customer-facing role. You will work directly with prospects and clients to deeply understand their data needs, translate those needs into technically sound and commercially viable solutions, and produce the detailed SOWs, scoping documents, and cost models that make complex Managed Services projects possible. You will collaborate daily across Sales, Solution Engineering, R&D, Product, and Delivery, acting as the connective tissue between what a customer needs and what Bright Data can build and price accurately.
Responsibilities
Pre-Sales & Solution Scoping (~40%)
Engage directly with prospects and customers during pre-sales to understand their data collection, enrichment, and insights requirements in depth
Lead or support discovery sessions — asking the right questions to uncover technical constraints, data freshness needs, volume expectations, output formats, and downstream use cases
Translate customer requirements into well-architected solution designs that leverage Bright Data's full stack: Scraper Studio, proxies, Web Unlocker, Scraping Browser, AI pipelines, and data delivery options
Work alongside Sales AEs and Solution Engineers to craft winning proposals — ensuring the technical and commercial narrative is coherent and credible
Identify ambiguities and risks in customer requirements early, and drive alignment before contracts are signed
SOW & Pricing (~30%)
Author detailed, precise Statements of Work (SOWs) for complex Managed Services & Insights engagements — covering scope, deliverables, timelines, assumptions, exclusions, and acceptance criteria
Build cost models and pricing estimates for projects involving data collection at scale, custom scraper development, AI/BI deliverables, and ongoing maintenance
Develop and refine internal costing frameworks to improve speed and consistency of pricing across the team
Collaborate with R&D leads and Delivery/Project Managers to validate technical feasibility and effort estimates before committing to customers
Manage scope change requests and support contract amendments as projects evolve
Business Research & Post-Sales Analysis (~30%)
Conduct deep business and technical research on customer industries, data sources, and use cases to inform solution design and delivery planning
Produce structured write-ups, briefing documents, and solution specs for internal teams picking up delivery post-contract
Support delivery teams during project kickoff to ensure the SOW is fully understood and the solution is set up for success
Track and analyze project performance data — helping identify where scoping assumptions held up and where they didn't, to improve future estimates
Stay current on web data, AI/ML, and BI trends to bring informed perspective to both client conversations and internal solution development
Requirements
6+ years of experience as a Business Analyst, Solutions Consultant, or similar role in a technology services, data, or SaaS environment
Proven track record writing complex SOWs and service contracts for technical projects — you know what good scope definition looks like and why it matters
Strong understanding of web data collection and web scraping — you don't need to write scrapers, but you must be able to speak credibly about how data is collected, what affects cost and complexity, and what can go wrong
Solid grasp of data analysis, BI, and AI/ML solutions — enough to scope deliverables, ask the right questions, and assess feasibility
Experience estimating IT project costs — infrastructure, development effort, ongoing maintenance, and third-party tooling
Excellent customer-facing communication skills — comfortable leading discovery calls, asking probing questions, and presenting solutions to technical and business stakeholders alike
Outstanding written English — your SOWs, proposals, and research write-ups must be clear, precise, and professional
Highly organized and self-directed in a fully remote environment. Applicants from the US, Canada, Latin America welcome to apply.
We are looking for a Business Analyst to sit at the intersection of pre-sales, solution design, and post-sales delivery planning. This is a highly cross-functional, customer-facing role. You will work directly with prospects and clients to deeply understand their data needs, translate those needs into technically sound and commercially viable solutions, and produce the detailed SOWs, scoping documents, and cost models that make complex Managed Services projects possible. You will collaborate daily across Sales, Solution Engineering, R&D, Product, and Delivery, acting as the connective tissue between what a customer needs and what Bright Data can build and price accurately.
Responsibilities
Pre-Sales & Solution Scoping (~40%)
Engage directly with prospects and customers during pre-sales to understand their data collection, enrichment, and insights requirements in depth
Lead or support discovery sessions — asking the right questions to uncover technical constraints, data freshness needs, volume expectations, output formats, and downstream use cases
Translate customer requirements into well-architected solution designs that leverage Bright Data's full stack: Scraper Studio, proxies, Web Unlocker, Scraping Browser, AI pipelines, and data delivery options
Work alongside Sales AEs and Solution Engineers to craft winning proposals — ensuring the technical and commercial narrative is coherent and credible
Identify ambiguities and risks in customer requirements early, and drive alignment before contracts are signed
SOW & Pricing (~30%)
Author detailed, precise Statements of Work (SOWs) for complex Managed Services & Insights engagements — covering scope, deliverables, timelines, assumptions, exclusions, and acceptance criteria
Build cost models and pricing estimates for projects involving data collection at scale, custom scraper development, AI/BI deliverables, and ongoing maintenance
Develop and refine internal costing frameworks to improve speed and consistency of pricing across the team
Collaborate with R&D leads and Delivery/Project Managers to validate technical feasibility and effort estimates before committing to customers
Manage scope change requests and support contract amendments as projects evolve
Business Research & Post-Sales Analysis (~30%)
Conduct deep business and technical research on customer industries, data sources, and use cases to inform solution design and delivery planning
Produce structured write-ups, briefing documents, and solution specs for internal teams picking up delivery post-contract
Support delivery teams during project kickoff to ensure the SOW is fully understood and the solution is set up for success
Track and analyze project performance data — helping identify where scoping assumptions held up and where they didn't, to improve future estimates
Stay current on web data, AI/ML, and BI trends to bring informed perspective to both client conversations and internal solution development
Requirements
6+ years of experience as a Business Analyst, Solutions Consultant, or similar role in a technology services, data, or SaaS environment
Proven track record writing complex SOWs and service contracts for technical projects — you know what good scope definition looks like and why it matters
Strong understanding of web data collection and web scraping — you don't need to write scrapers, but you must be able to speak credibly about how data is collected, what affects cost and complexity, and what can go wrong
Solid grasp of data analysis, BI, and AI/ML solutions — enough to scope deliverables, ask the right questions, and assess feasibility
Experience estimating IT project costs — infrastructure, development effort, ongoing maintenance, and third-party tooling
Excellent customer-facing communication skills — comfortable leading discovery calls, asking probing questions, and presenting solutions to technical and business stakeholders alike
Outstanding written English — your SOWs, proposals, and research write-ups must be clear, precise, and professional
Highly organized and self-directed in a fully remote environment. Applicants from the US, Canada, Latin America welcome to apply.