Data Consultant

🔒 Confidential Employer
Posted 7 May 2026
LOCATION
Remote
TYPE
Full-time
LEVEL
Associate
CATEGORY
Data & Analytics
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

SQL Data Analysis Project Management Customer Relationship Management Communication Consulting Life Sciences Knowledge

FULL DESCRIPTION

Data Consultant

[Employer hidden — sign up to reveal] is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As Data Consultant you will be involved in all aspects of our customer journey from pre-sales to implementation and delivery of added value services.

Location: Remote UK (#RemoteUK) | Work Type: Remote (Work Anywhere)

What You'll Do

  • Data lead on client meetings, provide subject matter expertise on OpenData product.
  • Help Customer in defining which data set to subscribe to by providing data insights and ad-hoc reports.
  • Work on data matching projects to compare various data sets against OpenData database.
  • Support sales team in performing data evaluation projects and run analysis to demonstrate value.
  • Manage specific projects to deliver added value services such as Data Privacy Notification Services or Mailing Services.
  • Deliver ongoing data services to existing Customers to increase OpenData product adoption.
  • Work closely with Professional Services to integrate OpenData with [Employer hidden — sign up to reveal] product portfolio.

Requirements

  • University degree in analytical or technical field.
  • Working experience as consultant or data analyst (skilled with SQL and spreadsheets).
  • Experience in managing Customer projects (customer facing role). Project management capabilities.
  • Excellent communication and relationship-building skills.
  • Fluent in English.

Nice to Have

  • Connection with life sciences (education or professional experience).
  • [Employer hidden — sign up to reveal] CRM and reference data experience.
  • Experience with data quality and process improvement.

Perks & Benefits

  • Opportunity to work in a diverse and international workspace.
  • Significant contribution to pension fund.
  • Life insurance.
  • Health and wellness programs.
  • [Employer hidden — sign up to reveal] charitable giving program.

If you need assistance or accommodation due to a disability or special need when applying, please contact [Employer hidden — sign up to reveal]. [Employer hidden — sign up to reveal] is an equal opportunity employer.

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