Pharma Insight & Analytics Lead — Data to Impact

KAI Conversations

Bournemouth

Hybrid

GBP 55,000 - 75,000

Full time

12 days ago
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Job summary

KAI Conversations is an AI-powered analytics platform used by major pharma brands to improve customer interactions. The team seeks an analyst who can tackle diverse BI challenges end-to-end, from raw data to actionable reports that drive decision-making.

You will combine conversation analytics with CRM data, auditing datasets and building repeatable methods that support multiple brands and stakeholder audiences, with a focus on rigorous, business-relevant insights.

Qualifications

  • Pharma commercial/marketing foundation or analytics experience in pharma teams.
  • Degree in a numerate discipline with strong statistical grounding.
  • Hands-on Python and/or SQL for data manipulation and analysis.
  • Experience turning messy data into defensible findings; flag thin samples and avoid overstating results.
  • Experience with AI-enabled analysis (Claude, Copilot, ChatGPT) for substantive work.

Responsibilities

  • Combine conversation analytics with CRM data to answer cross-source questions.
  • Audit new datasets end-to-end and flag data quality issues.
  • Create dashboards and visuals for multiple stakeholders with UI/UX collaboration.
  • Present findings to clients and defend methodology under challenge.

Skills

Python
SQL
Data visualization
Excel/VBA
Analytical thinking
Communication
Storytelling

Education

Numerate degree (statistics, mathematics, data science, economics)

Tools

Veeva
Salesforce
Power BI
Power Query
DAX

Job description

KAI Conversations is an AI-powered analytics platform used by major pharma brands to improve customer interactions. The team seeks an analyst who can tackle diverse BI challenges end-to-end, from raw data to actionable reports that drive decision-making.

You will combine conversation analytics with CRM data, auditing datasets and building repeatable methods that support multiple brands and stakeholder audiences, with a focus on rigorous, business-relevant insights.

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