

Intuition IT β Intuitive Technology Recruitment
Business Analyst
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Business Analyst in London (Hybrid) with a contract length of "unknown" and a pay rate of "unknown." Requires 9-11 years in Business Analysis, strong Pharma Commercial experience, proficiency in Power BI, Snowflake, SQL, and agile methodology.
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
Unknown
-
ποΈ - Date
June 2, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
London Area, United Kingdom
-
π§ - Skills detailed
#Data Engineering #Automation #AI (Artificial Intelligence) #Agile #Data Quality #Data Science #Microsoft Power BI #Computer Science #SQL (Structured Query Language) #Compliance #Snowflake #BI (Business Intelligence) #GDPR (General Data Protection Regulation) #Stories #Data Mining #Oracle #Forecasting #Data Ingestion #UAT (User Acceptance Testing) #Data Analysis #Business Analysis
Role description
Job Title: Senior Business Analyst
Location: London (Hybrid β 2 days a week in office)
Purpose of the Position:
We are looking for a Senior Business 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 modernization, 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 organization.
Key Result Areas and Activities:
1. Business Analysis & Requirement Gathering
β’ Engage with business stakeholders across Sales, Marketing, Market Access, and Patient Services to identify analytical needs, automation opportunities, process gaps and data gaps.
β’ Provides subject matter expertise on Commercial Pharma data especially in the
β’ Identifies data gaps and defines the target-state business data approach
β’ Translate complex business objectives into clear, structured requirements for AI, BI, and Data Engineering teams.
β’ Conduct workshops to gather requirements and understand business challenges
1. Data and Analytics Solutioning
β’ Work closely with Data Engineering teams on data ingestion, warehouse design, and model readiness for both BI and AI workloads.
β’ Participate in the design of semantic layers and feature stores to standardize reusable AI features across use cases.
β’ Review and sign off on Power BI dashboards, AI model outputs, and integrated analytics reports.
1. Governance and Change Management
β’ Define and maintain governance frameworks including RACI, SLAs, communication plans, and data quality protocols.
β’ Ensure compliance with HIPAA, GDPR, and pharma data regulations.
β’ Facilitate UAT, training sessions, and user adoption for new AI-driven tools and reporting workflows
1. AI and Advanced Analytics Integration
β’ Collaborate with Business and/or Data Science teams to define use cases for forecasting, segmentation, churn prediction, and dynamic targeting.
β’ Partner with the Engineering teams to integrate AI-powered insights into BI dashboards
β’ Drive adoption of self-service AI capabilities that empower business users to query, visualize, and derive insights without technical intervention.
Work and Technical Experience:
β’ Strong functional knowledge and experience in data and analytics
β’ Strong Pharma Commercials experience
β’ Ability to collaborate with business product owners and users to understand data and analytics requirements for Commercial business areas
β’ Strong understanding of agile methodology and ability to convert business requirements into implementation ready Epics and user stories
β’ Hands on knowledge with data querying, data analysis, data mining, reporting and analytics will be a plus
β’ Excellent verbal and written communication skills
β’ Tools: Power BI, Snowflake, Oracle DB, SQL, Microsoft office suite
Must Have
β’ Strong functional knowledge and experience in data and analytics
β’ Strong Pharma Commercials experience especially with knowledge around Drug Launch for the European Geography
β’ Ability to collaborate with business product owners and users to understand data and analytics requirements for Commercial business areas
β’ Strong understanding of agile methodology and ability to convert business requirements into implementation ready Epics and user stories
β’ Excellent verbal and written communication skills
β’ Tools: Power BI, Snowflake, SQL, Microsoft office suite
Good To Have
β’ Knowledge of Cortex
β’ Hands on knowledge with data querying, data analysis and reporting will be a plus
β’ Relevant Certifications
Qualifications:
β’ Bachelorβs degree in computer science, engineering, or related field (Masterβs degree is a plus)
β’ Demonstrated continued learning through one or more technical certifications or related methods
β’ 9-11 years of experience as Business Analyst
Job Title: Senior Business Analyst
Location: London (Hybrid β 2 days a week in office)
Purpose of the Position:
We are looking for a Senior Business 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 modernization, 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 organization.
Key Result Areas and Activities:
1. Business Analysis & Requirement Gathering
β’ Engage with business stakeholders across Sales, Marketing, Market Access, and Patient Services to identify analytical needs, automation opportunities, process gaps and data gaps.
β’ Provides subject matter expertise on Commercial Pharma data especially in the
β’ Identifies data gaps and defines the target-state business data approach
β’ Translate complex business objectives into clear, structured requirements for AI, BI, and Data Engineering teams.
β’ Conduct workshops to gather requirements and understand business challenges
1. Data and Analytics Solutioning
β’ Work closely with Data Engineering teams on data ingestion, warehouse design, and model readiness for both BI and AI workloads.
β’ Participate in the design of semantic layers and feature stores to standardize reusable AI features across use cases.
β’ Review and sign off on Power BI dashboards, AI model outputs, and integrated analytics reports.
1. Governance and Change Management
β’ Define and maintain governance frameworks including RACI, SLAs, communication plans, and data quality protocols.
β’ Ensure compliance with HIPAA, GDPR, and pharma data regulations.
β’ Facilitate UAT, training sessions, and user adoption for new AI-driven tools and reporting workflows
1. AI and Advanced Analytics Integration
β’ Collaborate with Business and/or Data Science teams to define use cases for forecasting, segmentation, churn prediction, and dynamic targeting.
β’ Partner with the Engineering teams to integrate AI-powered insights into BI dashboards
β’ Drive adoption of self-service AI capabilities that empower business users to query, visualize, and derive insights without technical intervention.
Work and Technical Experience:
β’ Strong functional knowledge and experience in data and analytics
β’ Strong Pharma Commercials experience
β’ Ability to collaborate with business product owners and users to understand data and analytics requirements for Commercial business areas
β’ Strong understanding of agile methodology and ability to convert business requirements into implementation ready Epics and user stories
β’ Hands on knowledge with data querying, data analysis, data mining, reporting and analytics will be a plus
β’ Excellent verbal and written communication skills
β’ Tools: Power BI, Snowflake, Oracle DB, SQL, Microsoft office suite
Must Have
β’ Strong functional knowledge and experience in data and analytics
β’ Strong Pharma Commercials experience especially with knowledge around Drug Launch for the European Geography
β’ Ability to collaborate with business product owners and users to understand data and analytics requirements for Commercial business areas
β’ Strong understanding of agile methodology and ability to convert business requirements into implementation ready Epics and user stories
β’ Excellent verbal and written communication skills
β’ Tools: Power BI, Snowflake, SQL, Microsoft office suite
Good To Have
β’ Knowledge of Cortex
β’ Hands on knowledge with data querying, data analysis and reporting will be a plus
β’ Relevant Certifications
Qualifications:
β’ Bachelorβs degree in computer science, engineering, or related field (Masterβs degree is a plus)
β’ Demonstrated continued learning through one or more technical certifications or related methods
β’ 9-11 years of experience as Business Analyst






