The Staffing Guild
Senior Analyst (Pharma & AI)
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Location: London (Hybrid – 2 days a week in office)
Compensation: Negotiable
Purpose of the Position:
We are looking for a Senior Analyst with deep expertise in Commercial Pharma operations and a strong understanding of AI-driven analytics solutions. This role will act as the key liaison between business stakeholders, data engineering teams, and AI/BI solution architects to drive data modernisation, intelligent automation, and advanced insights across commercial functions. The candidate will play a strategic role in shaping how AI augments decision-making, operational efficiency, and reporting within the organisation.
Key Result Areas and Activities:
Business Analysis & Requirement Gathering
- Engage with business stakeholders across Sales, Marketing, Market Access, and Patient Services to identify analytical needs, automation opportunities, process gaps, and data gaps.
- Provides subject matter expertise on Commercial Pharma data.
- Identifies data gaps and defines the target-state business data approach.
- Translates complex business objectives into clear, structured requirements for AI, BI, and Data Engineering teams.
- Conducts workshops to gather requirements and understand business challenges.
Data and Analytics Solutioning
- Work closely with Data Engineering teams on data ingestion, warehouse design, and model readiness for both BI and AI workloads.
- Participates in the design of semantic layers and feature stores to standardise reusable AI features across use cases.
- Reviews and signs off on Power BI dashboards, AI model outputs, and integrated analytics reports.
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Governance and Change Management
- Defines and maintains governance frameworks, including RACI, SLAs, communication plans, and data quality protocols.
- Ensures compliance with HIPAA, GDPR, and pharma data regulations.
- Facilitates UAT, training sessions, and user adoption for new AI-driven tools and reporting workflows.
AI and Advanced Analytics Integration
- Collaborates with Business and/or Data Science teams to define use cases for forecasting, segmentation, churn prediction, and dynamic targeting.
- Partners with the Engineering teams to integrate AI-powered insights into BI dashboards.
- Drives adoption of self-service AI capabilities that empower business users to query, visualise, and derive insights without technical intervention.
Work and Technical Experience:
- Strong functional knowledge and experience in data and analytics.
- Strong Pharma Commercials experience.
- Ability to collaborate with business product owners and users to understand data and analytics requirements for Commercial business areas.
- Strong understanding of agile methodology and ability to convert business requirements into implementation-ready Epics and user stories.
- Hands-on knowledge with data querying, data analysis, data mining, reporting, and analytics will be a plus.
- Excellent verbal and written communication skills.
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Must Have:
- Strong functional knowledge and experience in data and analytics.
- Strong Pharma Commercials experience, especially with knowledge around Drug Launch for the European Geography.
- Ability to collaborate with business product owners and users to understand data and analytics requirements for Commercial business areas.
- Strong understanding of agile methodology and ability to convert business requirements into implementation-ready Epics and user stories.
- Excellent verbal and written communication skills.
Tools: Power BI, Snowflake, Oracle DB, SQL, Microsoft Office suite
Good To Have:
- Knowledge of Cortex
- Hands-on knowledge with data querying, data analysis, and reporting will be a plus.
Qualifications:
- Bachelor’s degree in computer science, engineering, or related field (Master’s degree is a plus).
- Demonstrated continued learning through one or more technical certifications or related methods.
- 9-11 years of experience as a Business Analyst.
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