At a Glance
- Tasks: Lead data analytics projects and drive impactful outcomes across various teams.
- Company: Global tech consultancy with a people-first culture and meaningful projects.
- Benefits: Up to £80,000 salary, flexible hybrid working, and comprehensive benefits.
- Other info: Strong career progression and industry-leading training opportunities.
- Why this job: Shape the future of analytics in a role that offers ownership and visibility.
- 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 rewarding place for those seeking meaningful employment.
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 people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your SQL and Python projects. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data analytics. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. 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 driven adoption and prioritised tasks in complex environments.
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 crucial 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 position involves leading analytical delivery, prepare examples that highlight your experience in guiding teams and managing complex projects. Think about specific challenges you faced and how you overcame them.
✨Understand the Company Culture
This consultancy values a people-first culture, so be prepared to discuss how you align with their values. Share experiences where you've collaborated effectively with cross-functional teams and contributed to a positive work environment.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to handle real-world scenarios. Practice articulating your thought process when mapping data flows or defining requirements during workshops.
