At a Glance
- Tasks: Design and optimise Tableau dashboards, turning data into actionable insights.
- Company: Join a leading data-driven organisation focused on innovation and growth.
- Benefits: Earn up to £80,000 plus bonuses, with flexible hybrid working options.
- Other info: Mentor junior analysts and drive best practices in a supportive team culture.
- Why this job: Make a real impact by shaping data-driven solutions in a collaborative environment.
- Qualifications: 5+ years in Data Analytics, strong Tableau and SQL skills required.
The predicted salary is between 80000 - 80000 £ per year.
Senior Data Analyst - London (Hybrid) - Tableau - SQL /Python - Snowflake - Azure - AWS - Up to £80,000 + Bonus
Why Join?
We're partnering with a highly successful and data-driven organisation that continues to invest heavily in its Data & Analytics function.
With a modern technology stack, significant growth plans and focus on innovation, this is an opportunity to join a business where data plays a critical role in driving commercial decision-making.
This role offers a unique blend of hands-on analytics, stakeholder engagement and leadership responsibility.
You'll work with senior business stakeholders, mentor junior analysts and help shape data-driven solutions that deliver real commercial value.
For candidates coming from consulting or client-facing environments, there is also the opportunity to leverage your commercial acumen and relationship-building skills in a high-impact role.
- You Will Work With
- Designing, building and optimising Tableau dashboards and reports.
- Turning complex datasets into actionable business insights.
- Writing advanced SQL queries and working with large-scale data platforms.
- Managing analytics projects from requirements gathering through to delivery.
- Engaging with stakeholders to understand business challenges and provide data-driven solutions.
- Mentoring and supporting junior analysts within the team.
- Driving best practices across reporting, visualisation and analytics delivery.
- Identifying opportunities to expand analytics capabilities and deliver additional value to the business.
Benefits
- Performance-related bonus.
- Flexible hybrid working arrangements.
- Modern technology environment including Snowflake, Azure, AWS and AI tooling.
- High-profile projects with strong business visibility.
- Collaborative and supportive team culture.
- Learning, development and career progression opportunities.
- Key Experience
- 5+ years' experience within Data Analytics, BI or Analytics Consulting.
- Strong Tableau experience, including dashboard development and visual analytics best practice.
- Advanced SQL skills.
- Python experience.
- Experience working with cloud data platforms, ideally Snowflake and Azure.
- Strong leadership, mentoring or people development experience.
- Excellent stakeholder management and communication skills.
- Commercially minded with the ability to identify opportunities to add value through data and analytics.
- Previous consulting, financial services or data-intensive industry experience would be highly beneficial.
- #J-18808-Ljbffr
Senior Data Analyst employer: Cyber Security training courses
As an AI Engineer at our Central London office, you will be part of a dynamic team dedicated to pioneering cutting-edge AI solutions that drive business growth and enhance engineering capabilities. We pride ourselves on fostering a collaborative work culture that encourages innovation and professional development, offering competitive salaries, performance bonuses, and the flexibility of a hybrid working model to ensure a healthy work-life balance.
Contact Details:
Cyber Security training courses Recruitment Team
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 Cyber Security training courses!
✨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 Cyber Security training courses.
✨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 Cyber Security training courses.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at Cyber Security training courses, 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 Cyber Security training courses, 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 Cyber Security training courses. 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 Cyber Security training courses
✨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 Cyber Security training courses!
✨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.
