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For Companies At a Glance
- Tasks: Lead data projects, build pipelines, and solve real-world business challenges.
- Company: Join a fast-growing data consultancy transforming data-driven decision-making.
- Benefits: Enjoy hybrid working, competitive salary, and share options.
- Why this job: Be at the forefront of analytics innovation and make a real impact.
- Qualifications: Strong Python and SQL skills, experience with Airflow, and a collaborative mindset.
- Other info: Opportunity to mentor juniors and work with cutting-edge tech.
The predicted salary is between 60000 - 84000 £ per year.
Central London - 2 days a week in the office - hybrid working. £70,000 - £75,000 depending on experience + shares. We’re hiring on behalf of a fast-growing data consultancy that’s transforming how leading organisations make high-impact, data-driven decisions. This is a standout opportunity for an ambitious Senior Data Analytics Analyst to take a leading role in shaping data systems whilst solving real-world business challenges.
This isn’t just another engineering position. You’ll be sitting at the crossroads of data engineering, advanced analytics, and technical strategy. Whether it’s building robust data pipelines, architecting scalable workflows, or working hand-in-hand with clients to translate data into actionable insights, the work is cutting-edge.
What You’ll Be Doing:
- Designing, building, and optimising scalable data pipelines using Python, SQL, and Airflow
- Leading the technical delivery of projects across diverse industry verticals
- Collaborating directly with clients to understand their data challenges and craft tailored solutions
- Providing mentorship and technical guidance to junior team members
- Shaping best practices and driving innovation in how the team approaches analytics engineering
What skills you need:
- Strong hands-on experience with Python (including libraries like Pandas/Numpy)
- Deep working knowledge of SQL for complex data querying and transformation
- Proven experience working with orchestration tools such as Airflow
- A background in analytics or data engineering, ideally in client-facing or cross-functional teams
- Ability to lead technical conversations and articulate solutions to non-technical stakeholders
- A collaborative mindset and genuine curiosity around solving data challenges
Tech Stack Snapshot:
- Python, SQL, Airflow
- AWS, Azure, & GCP depending on the project
- Bonus: Experience with dbt, Snowflake, or Looker would be amazing, as this business uses these tools.
If you’re ready to step into a role where you can lead, innovate, and make a tangible difference - this is it. Click "APPLY" to be considered.
Senior Data Analyst (Analytics) employer: Revybe IT Recruitment Ltd
Contact Detail:
Revybe IT Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst (Analytics)
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Python, SQL, and Airflow. Being able to discuss your hands-on experience with these technologies during an interview will demonstrate your suitability for the role.
✨Tip Number 2
Prepare examples of past projects where you've successfully built data pipelines or solved complex data challenges. This will help you showcase your problem-solving skills and technical expertise when speaking with the hiring team.
✨Tip Number 3
Research the company’s recent projects or case studies to understand their approach to data analytics. This knowledge will allow you to engage in meaningful conversations during interviews and show that you're genuinely interested in their work.
✨Tip Number 4
Highlight your collaborative mindset and ability to communicate technical concepts to non-technical stakeholders. Prepare to discuss how you've mentored junior team members or worked cross-functionally, as this aligns with the role's requirements.
We think you need these skills to ace Senior Data Analyst (Analytics)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Airflow. Include specific projects where you've designed data pipelines or led technical delivery, as this will resonate with the job description.
Craft a Compelling Cover Letter: In your cover letter, emphasise your collaborative mindset and ability to solve data challenges. Mention any experience you have in client-facing roles and how you've translated complex data into actionable insights.
Showcase Relevant Skills: When detailing your skills, focus on your hands-on experience with data engineering and analytics. Highlight any familiarity with orchestration tools and cloud platforms like AWS, Azure, or GCP, as these are relevant to the role.
Prepare for Technical Questions: Be ready to discuss your technical expertise during interviews. Prepare examples of how you've used Python libraries like Pandas or Numpy, and be prepared to explain your approach to building scalable data solutions.
How to prepare for a job interview at Revybe IT Recruitment Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Python, SQL, and Airflow. Bring examples of projects where you've designed and optimised data pipelines, as this will demonstrate your technical prowess and relevance to the role.
✨Understand the Business Context
Research the company and its clients to understand their data challenges. Be ready to articulate how your skills can help solve these issues, showing that you can translate technical solutions into actionable insights for non-technical stakeholders.
✨Demonstrate Leadership and Mentorship
Since this role involves leading projects and mentoring junior team members, prepare to discuss your previous experiences in leadership. Share specific examples of how you've guided teams or contributed to best practices in analytics engineering.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy, tools they use, and their approach to innovation. This not only shows your genuine interest but also helps you assess if the company aligns with your career goals.
