Senior Technical Business Systems Analyst

Analog Devices•Wilmington, MA

1d•$113,190 - $163,905•Onsite

About The Position

The Senior Technical Business Systems Analyst (BSA) is a highly experienced individual contributor responsible for designing, enabling, and evolving core CRM capabilities within Microsoft Dynamics, with a focus on Sales Journey, Opportunity Lifecycle, and Pipeline Management. This is a deeply technical role, requiring strong platform expertise, integration knowledge, and the ability to architect scalable CRM solutions aligned to enterprise standards. A key aspect of this role is the embedding of AI and intelligent automation into the Sales Journey, enabling improved decision-making, pipeline progression, and sales productivity. The role partners across Sales, IT, Data, and Architecture teams to deliver modern, AI-enabled CRM capabilities that support complex, global B2B environments.

Requirements

7–10+ years experience in: CRM platforms (Microsoft Dynamics preferred), Business Systems Analysis in enterprise environments
Proven experience operating as a senior technical BSA or solution-oriented role
Strong understanding of: CRM data models and architecture, End-to-end Sales Journey and pipeline management
Hands-on experience with: Dynamics CRM configuration and customisation, Integration design and implementation (APIs, middleware, event-based patterns)
Working knowledge of: Cloud platforms and modern application architectures, Data modelling and CRM reporting structures
Ability to collaborate effectively with development teams in Agile environments
Experience embedding analytics or AI into business workflows
Understanding of: Predictive modelling concepts (scoring, classification, forecasting), Data pipelines and model operationalisation
Ability to translate AI outputs into practical CRM user experiences
Strong analytical and structured problem-solving capability
Ability to influence cross-functional stakeholders without authority
Comfortable operating independently in a senior IC capacity
Experience working in complex, global, matrixed environments

Nice To Haves

Semiconductor or complex B2B industry experience
Familiarity with: Global sales processes, Complex quoting, pricing, and channel models

Responsibilities

Own the design and evolution of end-to-end Sales Journey: Lead → Opportunity → Quote → Close lifecycle
Pipeline governance, forecasting inputs, and commit processes
Define CRM data models, workflows, and automation supporting: Opportunity progression and deal velocity, Pipeline hygiene and data quality, Forecast accuracy and execution confidence
Lead root cause analysis and resolution of systemic CRM and pipeline issues
Embed AI and intelligent capabilities directly into CRM workflows, including: Opportunity scoring and prioritisation, Next-best-action recommendations for sellers, Pipeline risk identification and deal progression insights
Partner with Data and AI teams to: Operationalise predictive models within CRM, Integrate AI-driven insights into user experience and workflows
Drive adoption of AI-enhanced capabilities to improve: Sales productivity, Forecast accuracy, Pipeline conversion rates
Ensure AI capabilities are practical, explainable, and aligned with business processes
Provide deep technical expertise in Microsoft Dynamics CRM and Power Platform, including: Configuration (entities, workflows, business rules), Extensibility (APIs, plugins, custom services)
Lead solution design for CRM enhancements: Ensure scalability, performance, and maintainability, Align with enterprise architecture and security standards
Work closely with engineering teams in Agile delivery environments
Design and govern integrations between CRM and enterprise systems: Ensure seamless data flow across sales, pricing, and fulfilment processes, Enable real-time or near-real-time pipeline visibility
Define integration patterns (API-led, event-based, batch where appropriate)
Partner with integration teams to troubleshoot and optimise system interactions
Develop deep expertise in Sales Operations and commercial processes, including: Pipeline management and forecasting, Complex deal structures and lifecycle management
Translate business strategies into structured system and process designs
Influence CRM usage, data standards, and operating models
Lead complex analysis and solution design: Requirements, functional specifications, and user stories
Own backlog shaping and prioritisation aligned to business value
Drive UAT, release readiness, and post-go-live stabilisation