At a Glance
- Tasks: Analyse large datasets, provide insights, and support clients in data-driven decisions.
- Company: Join a leading tech firm working with top UK companies and government departments.
- Benefits: Enjoy 25 days annual leave, pension scheme, and optional perks like gym discounts.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real impact by transforming data into valuable insights for clients.
- Qualifications: Experience with SQL, Spark, Python, and strong analytical skills required.
The predicted salary is between 45000 - 55000 £ per year.
We work with some of the UK's biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data.
We’re looking for a Senior Data Analyst, combining solid data fundamentals and sharp analytical judgement with a business focus. Someone able to drive data discovery work, work with stakeholders providing or consuming data, and provide clarity and insight for our teams. Work will include digging into raw, unfamiliar data, frequently at scale and in production, to work out what is there, how it fits together, and where it can and can't be trusted. You’ll separate genuine data issues from quirks of history, size the impact and risk, and give data engineers the clear, evidenced picture they need to build reliable data models.
This is a hands‑on, client‑facing role, often working at the foundational end of the data lifecycle, but you'll also be guiding clients in extracting the most value and impact from their data. You'll work with large datasets, diagnose anomalies and work out solutions. You'll be a trusted point of support for the data scientists and engineers working with the data, and you'll work directly with clients, shaping requirements and presenting findings to their stakeholders while navigating the governance around sensitive, regulated data.
We're technology agnostic, and we're open minded when it comes to your existing skillset.
What are we looking for?
- Significant experience profiling and investigating large, complex datasets at scale and in production.
- Experience with technologies such as SQL, Spark and Python, and you're confident querying analytical data directly rather than relying on pre-built reporting.
- You're a problem‑solver who works independently, with the judgement to direct your own investigations.
- You can gather and shape requirements through conversations and workshops, inform priorities, and work within the governance and access controls around sensitive data.
- Hands‑on data presentation, analytics and dashboarding skills – both to help understand how data is consumed, and for ad hoc presentational work.
- Strong communication skills and a collaborative approach, comfortable presenting findings to senior client stakeholders, influencing decisions and constructively challenging when the evidence points the other way.
What You'll Get In Return Is
- 25 days' annual leave, rising incrementally to 30 days after six years of service.
- Generous family leave policies.
- Access to an employer pension scheme and Group Life Assurance.
- A range of optional benefits such as discounted gym membership and a cycle‑to‑work scheme.
- A meaningful approach to evaluating your performance and providing feedback on your progress.
Senior Data Analyst employer: Scott Logic
As a Senior Data Analyst with us, you'll join a dynamic team that collaborates with leading UK companies and government departments, offering you the chance to work on impactful projects that leverage your analytical skills. Our supportive work culture prioritises employee growth, providing generous leave policies, a robust pension scheme, and opportunities for professional development, all while fostering an environment where your insights directly influence client outcomes. Located in a vibrant area, we also offer unique benefits like discounted gym memberships and a cycle-to-work scheme, ensuring a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨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 Scott Logic!
✨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 at Scott Logic.
✨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 Scott Logic.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at Scott Logic, 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
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 Scott Logic, 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 Scott Logic. 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 Scott Logic
✨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 Scott Logic!
✨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.
