At a Glance
- Tasks: Lead data analytics projects and drive impactful outcomes with innovative solutions.
- Company: Global tech consultancy blending boutique feel with big company resources.
- Benefits: Up to £80,000 salary, flexible hybrid work, and strong career progression.
- Other info: Join a values-driven team focused on professional development and meaningful projects.
- Why this job: Shape analytical outcomes and influence major data programmes in a collaborative culture.
- Qualifications: 3+ years in data analytics, strong SQL and Python skills required.
The predicted salary is between 80000 - 80000 £ per year.
I'm working with a global technology & data consultancy that delivers high-impact cloud, analytics and AI solutions to some of the most influential organisations in both the public and private sectors. They combine the feel of a boutique consultancy with the backing of a global group, giving you the best of both worlds: complex, meaningful projects + a people-first culture where your ideas influence outcomes.
You Will Work With:
- Leading analytical delivery across data platform and transformation programmes.
- Running workshops, defining requirements, mapping data flows and aligning stakeholders.
- Designing and overseeing delivery of data workflows, analytical services and reporting/BI solutions.
- Setting standards for documentation, QA, code quality, version control and release management.
- Guiding best practice across cloud, big data, analytics and AI-accelerated frameworks.
- Partnering with business teams (Product, Ops, Finance, Risk) to drive adoption and prioritise work.
- Supporting proposals and pre-sales, shaping analytics workstreams and estimating delivery.
- Developing reusable analytical assets, frameworks and toolkits.
Benefits:
- Salary up to £80,000
- Flexible hybrid working (3 days onsite at client or local office)
- Supportive of returners & part-time options
- Strong career progression within a global consultancy
- Comprehensive benefits package
- Industry-leading training, certifications & development
- Values-driven, collaborative culture with a strong focus on people
Key Experience Required:
- 3+ years leading analytical or data product delivery in complex, multi-team environments.
- Strong SQL and Python skills.
- Experience delivering outcomes on modern cloud platforms (DWH/lakehouse, BI modernisation, major migrations).
- Strong BI/analytics experience (Power BI, Tableau, Looker, semantic modelling, advanced analysis).
- Solid data modelling knowledge (dimensional; Data Vault a bonus).
- Experience working with data engineers, architects and cross-functional teams.
- Strong stakeholder communication skills at all levels.
- Comfortable leading iterative delivery using Agile practices.
- Exposure to tools such as dbt, Airflow/ADF/Dagster, Snowflake/Databricks/Fabric, and metadata/governance systems is beneficial.
If you want ownership, visibility and the chance to shape analytical outcomes across major data programmes, this is a brilliant next step. Apply now or send your CV directly!
Senior Data Analytics Lead - Hybrid, London, Impact employer: Cyber Security training courses
This global technology and data consultancy offers an exceptional work environment where you can lead impactful projects while enjoying a flexible hybrid working model. With a strong emphasis on career progression, comprehensive training, and a collaborative culture, employees are empowered to influence outcomes and drive innovation in analytics and AI solutions. Located in London, this role provides the unique opportunity to work with influential organisations across both public and private sectors, making it a truly rewarding place to advance your career.
Contact Details:
Cyber Security training courses Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analytics Lead - Hybrid, London, Impact
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data analytics. We recommend doing mock interviews with friends or using online resources to boost your confidence and refine your answers.
✨Tip Number 3
Showcase your skills through a portfolio! Create a few projects that highlight your SQL and Python prowess, and make sure to include any BI tools you've worked with. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Analytics Lead - Hybrid, London, Impact
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your SQL and Python expertise, as well as any relevant BI tools you've worked with. We want to see how you can lead analytical delivery!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how your experience aligns with our values-driven culture. Let us know how you can influence outcomes in our projects.
Showcase Your Projects:If you've led any significant data projects or transformations, make sure to include them in your application. We love seeing real examples of your work and how you've collaborated with cross-functional teams to deliver results.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Tech Inside Out
Make sure you're well-versed in SQL and Python, as these are key skills for the role. Brush up on your knowledge of BI tools like Power BI or Tableau, and be ready to discuss how you've used them in past projects.
✨Showcase Your Leadership Skills
Since this role involves leading analytical delivery, prepare examples that highlight your experience in guiding teams and managing complex projects. Think about times when you’ve successfully aligned stakeholders or driven adoption of analytics solutions.
✨Understand the Company Culture
This consultancy values a people-first culture, so be ready to discuss how you can contribute to that environment. Share your thoughts on collaboration and how you’ve fostered a positive team dynamic in previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think through potential challenges you might face in this role and how you would approach them, especially in terms of data workflows and stakeholder management.
