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- Tasks: Lead statistical programming and analyses in oncology research using real-world data.
- Company: Join a global CRO known for scientific excellence and innovative clinical research.
- Benefits: Enjoy a fully remote role with a generous remuneration and benefits package.
- Why this job: Make a meaningful impact in cancer research while collaborating with top professionals.
- Qualifications: Master’s or PhD in Biostatistics, Epidemiology, or Data Science with relevant experience.
- Other info: Opportunity to work with Flatiron Health data in a complex, matrixed environment.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data AnalystFully Remote in the UK£60,000-£70,000THE COMPANYA vast media conglomerate is seeking a Senior Data Analyst to join their team to drive reporting & insight capability and delivery!THE ROLEAs the Senior Analyst, you will be a core member of the team that’s responsible for all reporting & insight capabilities, using a sophisticated & modern tech stack; you’ll be well-versed in SQL, data visualization (Looker preferred but not essential) as well as ideally having prior experience with data modelling (dbt) and/or data warehousing (Snowflake preferred but again not essential). You’ll be responsible for building and maintaining reporting for a range of subsidiary brands in the group. You will be working with technical & non-technical stakeholdersYOUR SKILLS AND EXPERIENCESQLData Viz experience – Looker preferred but not essentialTHE BENEFITS£60,000-£70,000 (dependent on experience)Fully Remote Working in the UKHOW TO APPLYPlease register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarise yourself with Flatiron Health data and oncology-specific methodologies. Understanding how to derive lines of therapy and perform survival analyses will set you apart from other candidates.
✨Tip Number 2
Network with professionals in the oncology research field, especially those who have experience with real-world data. Engaging with epidemiologists and data scientists can provide insights into the role and may lead to valuable connections.
✨Tip Number 3
Showcase your proficiency in SAS or R through practical examples. If you have worked on relevant projects, be prepared to discuss your approach and the impact of your analyses during interviews.
✨Tip Number 4
Prepare to discuss your experience in managing large, complex datasets. Highlight specific challenges you've faced and how you ensured quality control and timely delivery of analyses in previous roles.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Flatiron Health data and real-world oncology research. Use specific examples that demonstrate your expertise in statistical programming and analytics.
Craft a Compelling Cover Letter: Write a cover letter that clearly outlines your motivation for applying to this role. Emphasise your relevant experience, particularly in leading statistical programming and collaborating with cross-functional teams.
Highlight Relevant Skills: In your application, be sure to mention your proficiency in SAS or R, as well as your experience with large datasets and oncology-specific methodologies. This will show that you meet the key requirements of the position.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or inconsistencies. A polished application reflects your attention to detail, which is crucial for a Senior Data Analyst role.
How to prepare for a job interview at LinkedIn
✨Showcase Your Flatiron Expertise
Make sure to highlight your experience with Flatiron Health data during the interview. Be prepared to discuss specific projects where you utilised this data, as well as any challenges you faced and how you overcame them.
✨Demonstrate Statistical Knowledge
Since the role involves leading statistical programming and analyses, brush up on your knowledge of oncology-specific methodologies. Be ready to explain concepts like lines of therapy and survival analyses clearly and confidently.
✨Prepare for Technical Questions
Expect technical questions related to SAS or R programming. Practise coding problems or scenarios that may come up in the interview, and be ready to discuss your approach to data quality control and automation.
✨Emphasise Collaboration Skills
This role requires collaboration with various teams, so be prepared to share examples of how you've successfully worked cross-functionally in the past. Highlight your communication skills and ability to refine workflows with different stakeholders.
