Business Intelligence & Sales Insights Analyst
Location: West Chester PA
Onsite Requirements: onsite 3x a week
Compensation Range: $65-70/hr W2


Introduction
Our client is looking for a Business Intelligence & Sales Insights Analyst to help shape how data is used to drive smarter sales strategies and customer engagement. This role will leverage customer behavior, intent signals, CRM data, and market intelligence to identify opportunities that improve pipeline quality, accelerate sales cycles, and support strategic business decisions.
Working across Product, Sales, Marketing, Business Intelligence, and Data Science, you'll evaluate emerging trends, validate new ideas through pilot initiatives, and deliver practical insights that influence both sales execution and the future evolution of the Signals platform.
This opportunity is ideal for someone who enjoys solving business problems, connecting information from multiple sources, and transforming data into recommendations that create measurable business value.
Day-to-Day Responsibilities

• Discover trends and business opportunities by analyzing customer engagement, sales activity, CRM, marketing, and intent data.
• Create meaningful recommendations that help sales teams prioritize accounts, identify buying signals, and engage customers more effectively.
• Integrate multiple internal and external data sources to develop comprehensive customer profiles and actionable business insights.
• Assess the quality, consistency, and usefulness of existing data while identifying opportunities to strengthen data reliability and decision-making.
• Design and support proof-of-concept initiatives that test new sales intelligence capabilities and measure business impact.
• Determine which customer behaviors and engagement metrics most accurately indicate purchasing intent and sales readiness.
• Collaborate with Product teams to define business requirements for future enhancements to the Signals platform.
• Partner with Sales and Marketing leaders to gather feedback, evaluate adoption, and continuously improve recommendations and workflows.
• Communicate findings through executive-ready presentations, business cases, and strategic recommendations.
• Influence product direction by providing analytical insight into customer needs, business priorities, and market opportunities.

• 5+ years of experience in Business Intelligence, Business Analysis, Sales Operations, Revenue Operations, Data Analytics, or a related business-facing analytics role.
• Strong knowledge of B2B sales organizations, including demand generation, pipeline development, account planning, customer retention, and revenue growth strategies.
• Experience consolidating information from CRM platforms, marketing systems, customer engagement tools, business intelligence platforms, and third-party data sources.
• Demonstrated ability to simplify complex information and convert analytical findings into practical business recommendations.
• Experience defining business problems, evaluating opportunities, and supporting pilot programs or proof-of-concept initiatives.
• Strong analytical mindset with the ability to navigate evolving priorities and solve complex business challenges.
• Exceptional communication skills with experience presenting findings to business leaders and cross-functional stakeholders.
• Proven success working collaboratively across Product, Sales, Marketing, Business Intelligence, and Data Science organizations.
• Self-directed professional who takes ownership of initiatives and continuously seeks opportunities to improve business outcomes.

• Experience with sales intent platforms such as Bombora, 6sense, Demandbase, or similar technologies.
• Background working with customer engagement analytics or Signals platforms.
• Familiarity with predictive modeling, lead scoring methodologies, or next-best-action strategies.
• Experience partnering with Product Management teams to prioritize enhancements based on business value.
• Working knowledge of Salesforce, Microsoft Dynamics, HubSpot, or comparable CRM platforms.
• Experience developing reports and visualizations using Tableau, Power BI, Looker, or similar BI tools.
• Basic SQL proficiency for data validation and exploratory analysis.
• Exposure to Machine Learning or Data Science initiatives supporting business decision-making.
• Understanding of customer lifecycle analytics, attribution modeling, and revenue performance metrics.