Data Analyst – Pharmaceutical & Life Sciences Sector
Express Recruitment is working with Verpora in the pharmaceutical and life sciences industry to recruit a talented Data Analyst to join a well-established consultancy based in Nottingham. This role offers an excellent opportunity to work on behalf of global drug research firms within an exciting research team. The successful candidate will enjoy a competitive salary of up to £34,000 per annum D.O.E, alongside a comprehensive benefits package including 33 days holiday, flexible working, and a hybrid model allowing for one day of remote work per week.
Job Details
Location: Nottingham
Posted: 2 days ago
Deadline: March 16, 2027
Hours: Mon-Fri (37.5 hours)
Job Type: Permanent (Perm)
Responsibilities
* Perform complex data analysis on massive datasets from various sources using key Excel functions
* Create and maintain detailed production reports and documentation including change logs and findings
* Identify and correct inaccurate or incorrect data to ensure all datasets are thoroughly cleansed
* Liaise directly with external clients to understand data issues and perform root cause analysis
* Work closely with internal and external teams to provide feedback and suggest process improvements
* Support the wider team with the implementation of new products and research projects
Skills & Qualifications
* Proficient in data visualisation and interrogation tools including Excel (Pivot Tables, V-LOOKUPS) and Power BI
* Knowledge or practical experience working with SQL, SQL Server, R and Python
* Previous experience in a similar data mining or analysis position, ideally within pharmaceutical or life sciences
* Strong communication skills with the ability to handle client-facing responsibilities effectively
* Analytically minded with a natural passion for problem solving and data preparation
* Experience with data management tools such as Tableau Prep and Alteryx is highly desirable
* A qualification in advanced analytics or expertise in modelling and algorithms is preferred
Application Process: Apply via the provided application form. Candidates will be notified within three days if not selected.
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