At a Glance
- Tasks: Lead data modelling and analytics projects, transforming complex data into actionable insights.
- Company: Join a leading recruitment agency in Data & AI with a supportive culture.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in the financial services sector using cutting-edge data technologies.
- Qualifications: Strong analytical skills, advanced SQL, Python experience, and data modelling expertise.
- Other info: Collaborate with diverse teams in a dynamic environment focused on innovation.
The predicted salary is between 48000 - 72000 Β£ per year.
We are seeking a Principal Consultant - Data Analyst to join a growing team. This is a full-time, hybrid role based in the London Area, offering flexibility to work from home.
As a senior consultant, you will play a key role in delivering high-impact data and analytics solutions across enterprise-scale environments. You will work closely with technical and non-technical stakeholders, applying advanced analytics, data modelling, and AI-driven insights to support complex transformation initiatives within Financial Services.
Key Responsibilities- Perform advanced data analysis and modelling using Python and advanced SQL
- Design and develop relational, logical, and physical data models
- Conduct hands-on data analysis, including data profiling and validation, data quality assessment, and traceability analysis
- Leverage AI and advanced analytics to interpret structured and unstructured data
- Translate statistical findings into clear, actionable business insights
- Lead and support requirements gathering with both technical and non-technical stakeholders
- Work closely with engineers across the digital transformation landscape
- Collaborate with cross-functional teams to deliver impactful transformation initiatives
- Confidently handle complex datasets within enterprise-scale data environments
- Strong analytical skills with expertise in data analytics and statistics
- Proven experience in data modelling (relational and dimensional)
- Advanced SQL and Python skills
- Experience working with complex, large-scale data environments
- Experience with Databricks and Snowflake is advantageous
- Knowledge of Bulk Purchase Annuities (BPA) is beneficial but not essential
- Experience with data visualisation tools and BI platforms is a plus
Data Modeller - Principal Consultant - Outside IR35 in London employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Modeller - Principal Consultant - Outside IR35 in London
β¨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data analytics or financial services. A friendly chat can lead to insider info about job openings and even referrals.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your data modelling 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.
β¨Tip Number 3
Prepare for interviews by brushing up on common data-related questions and scenarios. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
β¨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might be perfect for you. Plus, itβs a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Modeller - Principal Consultant - Outside IR35 in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the Data Modeller role. Highlight your experience with data analytics, Python, and SQL, and donβt forget to mention any relevant projects or achievements that showcase your skills.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre the perfect fit for this role. Mention your experience in financial services and how you can contribute to our teamβs success.
Showcase Your Analytical Skills: Since this role requires strong analytical skills, be sure to include specific examples of how you've used data modelling and advanced analytics in past roles. This will help us see your expertise in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. Itβs quick and easy, and it ensures your application gets to the right people at StudySmarter!
How to prepare for a job interview at Tenth Revolution Group
β¨Know Your Data Inside Out
Before the interview, brush up on your data modelling skills, especially in Python and SQL. Be ready to discuss specific projects where you've applied these skills, as well as any challenges you faced and how you overcame them.
β¨Speak Their Language
Familiarise yourself with the insurance sector and the specific terminology used in financial services. This will help you communicate effectively with both technical and non-technical stakeholders during the interview.
β¨Showcase Your Analytical Mindset
Prepare to demonstrate your analytical skills by discussing how you've conducted data profiling, validation, and quality assessments in past roles. Use examples that highlight your ability to turn complex data into actionable insights.
β¨Collaborate Like a Pro
Since this role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your experience in leading requirements gathering sessions and how youβve managed to bridge the gap between technical and non-technical team members.