Data Analytics Lead

13 hours ago


Tadworth, Surrey, United Kingdom Cpl Life Sciences Full time £250
Cpl Life Sciences is seeking a highly skilled Data Analytics Lead to join our dynamic team. The ideal candidate will have a strong background in IQVIA and Pharma data, proficiency in SQL coding, expertise with Snowflake, and excellent documentation skills.

This role requires exceptional leadership qualities and the ability to work cross-functionally across various teams.

The estimated salary for this position is £80,000 - £110,000 per annum, depending on experience.

**Job Description:**
We are seeking a highly skilled Data Analytics Lead to join our dynamic team. The ideal candidate will have a strong background in IQVIA and Pharma data, proficiency in SQL coding, expertise with Snowflake, and excellent documentation skills.

**Key Responsibilities:**
  • Lead and develop the Performance Analytics & Insights team to deliver high-quality analytical support and insights.
  • Utilize IQVIA and Pharma data to provide actionable insights and strategic recommendations to stakeholders.
  • Design, develop, and implement SQL-based queries and scripts to analyze large datasets and support business decision-making.
  • Manage and optimize data storage and retrieval processes using Snowflake.
  • Ensure comprehensive documentation of data processes, analytics methodologies, and insights to maintain transparency and knowledge sharing.
  • Collaborate cross-functionally with various departments, including Digital and after analytical functions.
  • Stay updated with industry trends and advancements in data analytics to continuously improve and innovate our analytical capabilities.


**Requirements:**
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
  • Minimum of 7 years of experience in performance analytics, data insights, or a related area.
  • Strong expertise in IQVIA data and Pharma data is essential.
  • Proficient in SQL coding with the ability to write complex queries and scripts.
  • Experience with Snowflake for data storage and management.
  • Experience in the pharmaceutical or healthcare industry.
  • Knowledge of data visualization tools such as Tableau or Power BI.
  • Familiarity with machine learning and predictive analytics techniques.

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