At a Glance
- Tasks: Develop and maintain complex reports and dashboards to drive business insights.
- Company: Join Abcam, a leader in scientific tools for breakthrough research.
- Benefits: Flexible benefits, competitive salary, and generous parental leave.
- Why this job: Make a real impact in healthcare by analysing data that drives innovation.
- Qualifications: 5+ years in data analysis, strong Tableau and SQL skills required.
- Other info: Dynamic team environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
Company Description
For over 20 years, abcam has been providing tools the scientific community needs to enable faster breakthroughs in critical areas like cancer, neurological disorders, infectious diseases, and metabolic disorders.
We believe that to continue making progress, we need to work together in new ways. We need your own unique perspective as well as this of our people to make an always greater impact on the world. This community needs people like you: dedicated, agile and above all audacious so we can truly bring progress forward.
Job Description
A Senior Data Analyst at Abcam develops, deploys, and maintains complex reporting & dashboards. Works with stakeholders to understand requirements and can communicate with the wider Data & Analytics teams to fulfil business requests. Has strong programming, data analysis skills and manages own workload. Understands company and business strategy and is key contact person for the technical delivery of one or more projects.
Hands-on experience with Tableau is essential and site admin level knowledge is preferred as this is the analytics tool used within the organisation. It is desirable to have a background in data visualisation and analysis and are comfortable working in fast paced environments.
The Senior Data Analyst role is part of the decentralised analytics team which is committed to partnering with all functions and analysts to deliver analytics and insights across the business. The team work very closely with other Data & Analytics teams so it is desirable that the analyst understands data concepts in data engineering, data management and data governance.
Roles and Responsibilities
Qualifications
Ability to work independently in a fast-paced, dynamic environment
Additional Information
We know that when it comes to benefits, no one size fits all. Flexibility and choice matter which is why, in addition to market competitive salaries, we offer you a flexible benefits package which is tailored to your unique needs and support your financial, physical and emotional wellbeing. This includes 18 weeks fully paid maternity leave, 6 weeks fully paid paternity leave as well as highly flexible working and much more. Besides, your development will be integral to your experience here. You will grow alongside other talented minds, in ways you may often find unexpected.
When people come together, incredible things happen. Here you’ll work in a safe environment where you can be who you truly are. We’ll champion and celebrate your uniqueness throughout your journey with us. This is how we excel at partnering with the scientific community no matter the challenge, ultimately helping solve the world’s most critical diseases. Find out more about Diversity & Inclusion at Abcam.
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Senior Data Analyst (8 month FTC) employer: Abcam
Contact Detail:
Abcam Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst (8 month FTC)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Abcam on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data visualisation projects, especially using Tableau. This will help you stand out during interviews and showcase your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and Python skills before the interview. Being able to discuss your technical abilities confidently can really impress the hiring team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Abcam team.
We think you need these skills to ace Senior Data Analyst (8 month FTC)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with Tableau, SQL, and any relevant data visualisation projects. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how your unique perspective can contribute to our team at Abcam. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, don’t forget to mention specific examples where you’ve used your analytical skills to solve problems or drive business value. We love seeing how you’ve made an impact in previous roles!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Abcam
✨Know Your Tools Inside Out
Make sure you're well-versed in Tableau, as it's essential for the role. Brush up on your skills and be ready to discuss specific projects where you've used it to create impactful dashboards.
✨Understand the Business
Familiarise yourself with Abcam's mission and the scientific community they serve. Be prepared to discuss how your data analysis can contribute to breakthroughs in areas like cancer and neurological disorders.
✨Showcase Your Communication Skills
Since the role involves collaborating with various stakeholders, practice articulating complex data concepts in simple terms. Think of examples where you've influenced decisions through effective communication.
✨Prepare for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving abilities. Prepare to share specific instances where you've tackled challenges in data analysis and how your insights drove business value.