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For Companies At a Glance
- Tasks: Execute advanced analytics and modelling using Python and SQL to drive business insights.
- Company: A modern digital transformation consultancy focused on innovation and rapid value delivery.
- Benefits: Flexible rate, hybrid work model, and immediate start available.
- Why this job: Join a dynamic team transforming industries with data and AI initiatives.
- Qualifications: Strong analytics experience, problem-solving skills, and a degree in a relevant field.
- Other info: 1-2 days onsite in London with excellent collaboration opportunities.
The predicted salary is between 43200 - 72000 ÂŁ per year.
A modern digital transformation consultancy is seeking a Principal Data Analyst to support key data and AI initiatives across major change programmes. The organisation focuses on delivering rapid value and practical innovation, combining strong technical capability with a commercially minded consulting approach. Their work spans data engineering, analytics, and applied AI—primarily supporting clients in regulated industries such as financial services.
The team is known for its hands‑on delivery style, speed, and ability to help organisations achieve meaningful transformation outcomes.
The Role
This contract role is suited to a senior Data Analyst who is comfortable working with large, complex datasets and collaborating with engineering and delivery teams across the transformation landscape. The position blends technical delivery with stakeholder engagement and problem‑solving.
Key Responsibilities
- Execute advanced analytics and modelling using Python and advanced SQL.
- Design and develop relational, logical, and physical data models.
- Carry out data profiling, validation, and in‑depth data quality assessments.
- Use AI‑driven techniques to interpret structured and unstructured datasets.
- Transform analytical and statistical findings into clear, actionable business insights.
- Lead or contribute to requirements gathering across both technical and non‑technical stakeholders.
- Work collaboratively with engineers, architects, and transformation teams.
- Operate confidently within enterprise‑scale data platforms.
- Exposure to Databricks or Snowflake is advantageous.
- Experience in Life & Pensions insurance (or broader insurance domains) is highly preferred.
Ideal Candidate Profile
- Strong experience in analytics with advanced problem‑solving skills.
- Deep understanding of statistics, relational modelling, and dimensional modelling.
- Background in BI or visualisation tools is beneficial.
- Degree in Data Science, Mathematics, Analytics, or similar is preferred.
- Able to work effectively within a hybrid team environment.
1–2 days per week onsite in London. Immediate start desired, though candidates with notice periods will still be considered.
Data Analyst - Modeling employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Modeling
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Don’t just talk about your experience—show it! Create a portfolio showcasing your data analysis projects, especially those using Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Ace the Interview
Prepare for interviews by brushing up on common data analysis questions and scenarios. Be ready to discuss how you've tackled complex datasets and collaborated with teams. Remember, they want to see your problem-solving skills in action!
✨Apply Through Our Website
When you find a role that fits, 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 and engaged in their job search.
We think you need these skills to ace Data Analyst - Modeling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Principal Data Analyst. Highlight your experience with Python, SQL, and any relevant projects that showcase your ability to handle large datasets and collaborate with teams.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've used advanced analytics and modelling in past roles, and don’t forget to mention your experience in regulated industries if you have it!
Showcase Your Problem-Solving Skills: In your application, emphasise your advanced problem-solving skills. We want to see how you've tackled complex data challenges in the past and what innovative solutions you've come up with.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at Tenth Revolution Group
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data analytics and modelling. Be ready to discuss specific datasets you've worked with, the challenges you faced, and how you used Python and SQL to overcome them. This will show your technical prowess and problem-solving skills.
✨Showcase Your Stakeholder Engagement Skills
Since the role involves collaborating with both technical and non-technical stakeholders, prepare examples of how you've successfully gathered requirements or communicated complex data insights in a clear manner. Highlighting your ability to bridge the gap between data and business will impress the interviewers.
✨Familiarise Yourself with AI Techniques
Brush up on AI-driven techniques that can be applied to both structured and unstructured datasets. Be prepared to discuss how you've used these methods in previous roles to derive actionable insights. This will demonstrate your alignment with the organisation's focus on innovation and practical solutions.
✨Understand the Industry Context
Given the emphasis on regulated industries like financial services, do some research on current trends and challenges in this sector. Being able to speak knowledgeably about how data analytics can drive transformation in these areas will set you apart as a candidate who understands the bigger picture.
