At a Glance
- Tasks: Transform complex data into actionable insights and drive data-driven decision-making.
- Company: Global leader in information and analytics with a focus on innovation.
- Benefits: Flexible working hours, wellbeing initiatives, and professional development opportunities.
- Other info: Join a dynamic team with excellent career growth potential.
- Why this job: Shape strategies with data and collaborate with senior stakeholders to make an impact.
- Qualifications: Experience in data roles, project management, and strong communication skills.
The predicted salary is between 45000 - 55000 £ per year.
Are you excited by the opportunity to turn complex business questions into trusted data products and analytics solutions? Would you enjoy combining analytics, stakeholder partnership and emerging AI techniques to help shape data-driven decision-making?
Location: Oxford
About our Team
Our STMJ (Science, Technology, and Medical Journals) team publishes high-quality, peer-reviewed research that drives progress across scientific and medical disciplines. Through innovation in editorial workflows and publishing technology, we help global research communities discover, evaluate, and disseminate knowledge that advances science and improves lives. The STMJ Data & Analytics team is a global group of data professionals dedicated to delivering high-quality insights and analytics that enable data-driven decision-making. Working closely with stakeholders across the business, the team transforms complex data into actionable recommendations that drive performance, innovation, and customer value.
About the Role
As a Senior Data Analyst, you will own complex data products and solutions from initial business questions through to delivery. You will partner with senior stakeholders and technical colleagues, contributing hands-on to data models and semantic layers for AI-based solutions while helping the team deliver reliable, reusable outcomes at pace.
Responsibilities
- Own and manage complex analytics projects from planning through delivery, translating loosely defined business questions into the right data solutions to address them.
- Collaborate directly with product managers, analytics engineers and other technologists on data product and solution development, applying governance principles to ensure our products are reliable and reusable.
- Engage and influence internally, acting as a trusted thought partner to senior stakeholders, playing a direct role in shaping strategy and advocating for data-driven decision making.
- Continuously adapt to new tools and technologies, adopting emerging techniques to improve our end solutions and critically, our speed of delivery.
- Play a direct role in levelling up the team by coaching junior colleagues in business engagement, analysis design and end-to-end project management.
Requirements
- Substantial experience in a data-oriented role is essential, as is a proven track record of owning and managing complex projects to delivery.
- Flexibility, speed and a bias for action are a must. Our team moves fast and so must you.
- You are a confident and clear communicator who can influence both senior and technical stakeholders.
- You are detail-orientated and a critical thinker with excellent problem-solving skills.
- You have strong experience in data preparation and blending, whether in Excel, Snowflake or other data platforms.
- Knowledge of AI assisted product development practices is an advantage, but not essential.
- Experience in scholarly publishing, research or a related industry is an advantage, but not essential.
Applicants must include a cover letter.
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice.
If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
UK - London (London Wall)
Type: Full time
Senior Data Analyst - SQL, Insurance in London employer: Elsevier
At Elsevier, we pride ourselves on being an excellent employer, particularly for our Java Software Engineer role in Oxford. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a team that values your contributions and supports your professional journey in the exciting field of scientific knowledge sharing.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst - SQL, Insurance in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Elsevier!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Analyst - SQL, Insurance at Elsevier.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Elsevier.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst - SQL, Insurance at Elsevier, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Analyst - SQL, Insurance in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Elsevier, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Elsevier. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Elsevier
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Elsevier!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
