Business And Data Analyst Jobs (NOW HIRING)

Project Overview:
This project establishes a centralized, AI-powered Commercial Intelligence Platform to accelerate collaboration and enable data-driven decision-making for sales teams. By integrating molecule intelligence, commercial data, and opportunity insights into an intuitive interface, the platform empowers sales agents to identify collaboration partners, uncover share gain opportunities, and engage clients with actionable insights.
Building on the success of the Commercial Connections Dashboard, the initiative will scale adoption through an embedded AI experience, improving collaboration speed, win rates, and deal size while aligning with future strategic direction.
Role Scope / Deliverables
Scope of Role
Act as the bridge between business stakeholders, data teams, and system SMEs, ensuring commercial, CRM, and opportunity data are effectively leveraged to meet business objectives.
Lead the definition and documentation of business data requirements, translating sales, marketing, and commercial needs into clear specifications for analytics and AI enablement.
Collaborate with IT, analytics, and AI teams to ensure data accuracy, consistency, and usability across integrated platforms (e.g., Salesforce, Power BI, Enterprise ChatGPT).
Analyze business processes and data flows to identify insights, inefficiencies, and opportunities for automation or AI-driven improvement.
Support performance measurement and reporting, developing dashboards and KPIs aligned with business goals and tracking adoption, engagement, and impact.
Serve as a trusted business partner in testing, validation, and rollout, ensuring solutions deliver value and are adopted effectively by end users.
Key Deliverables
Business & Data Requirements Documentation: Clearly defined objectives, data needs, and process dependencies to guide solution design.
CRM & Data Integration Specifications: Mapping of Salesforce and commercial data flows, relationships, and transformations supporting business use cases.
Data Quality & Governance Reports: Validation outputs ensuring business data is accurate, complete, and consistent across systems.
Performance Dashboards & KPI Frameworks: Power BI visuals and metrics that measure adoption, sales impact, and marketing effectiveness.
AI & Insight Readiness Documentation: Curated business context and data specifications to support GPT-based analysis and future AI use cases.
Post-Deployment Impact Reports: Business outcome assessments showing how insights and dashboards drive measurable commercial performance improvements.
Key Skills
Technical & Analytical Skills
CRM & Commercial Data Expertise: Deep understanding of customer, opportunity, and sales pipeline data within CRM systems (Salesforce preferred).
Advanced Data Analysis & Visualization: Proficient in Power BI, Excel, and SQL for developing insights, dashboards, and performance reporting.
Data Integration & Process Mapping: Skilled at connecting and interpreting data across sales, marketing, and commercial systems to capture end-to-end business flow.
Data Quality & Governance: Experienced in validating and maintaining consistency of CRM and commercial data for accurate reporting and decision-making.
Familiarity with Databricks, AWS, and ChatGPT Environments: Comfortable working within cloud-based platforms and leveraging AI-enabled tools for business analysis and automation.
Business Intelligence Tools: Proficient in designing and maintaining analytical models that tie business process performance to measurable outcomes.
Business & Collaboration Skills
Commercial & Marketing Process Knowledge: Understands sales funnel management, campaign-to-revenue flows, and customer engagement processes.
Business Requirements & Solution Design: Translates business needs into data-driven requirements to support strategic objectives.
Cross-Functional Collaboration: Works closely with stakeholders, IT, and analytics teams to align CRM, data, and reporting structures.
Problem Solving & Insight Generation: Identifies inefficiencies or data gaps and recommends improvements supported by analytics.
Communication & Storytelling: Synthesizes data and insights into clear, actionable narratives for leadership and operations.