Principal Data Analyst

Principal Data Analyst

Edinburgh Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
W

At a Glance

  • Tasks: Lead a team to analyse data and uncover strategic opportunities for value.
  • Company: Join Royal London, the UK's largest mutual life and pensions company.
  • Benefits: Enjoy hybrid working, 28 days leave, and a generous pension scheme.
  • Why this job: Be part of a purpose-driven team focused on innovation and impactful decision-making.
  • Qualifications: Strong analytical skills, experience in statistical analysis, and proficiency in data technologies required.
  • Other info: Open to applicants who may not meet all qualifications; diversity is celebrated.

The predicted salary is between 43200 - 72000 £ per year.

Location: Edinburgh or Glasgow or Alderley Park (Wilmslow)

Working style: Hybrid 50% home/office based

We are growing our Data & AI Strategy Analysis practice, and we are looking for a Principal Data Analyst to join our Data & AI Strategy team to explore strategic opportunities for value from data and AI. As an insight-led, modern mutual we are driven to focus on the most impactful things that we can do to improve financial resilience for millions of customers, and in playing our part in moving fairly to a sustainable world.

You’ll lead a small team investigating and qualifying those opportunities that will really shift the dial on enabling us to deliver more value for customers and clients. You’ll enjoy the journey from uncovering and profiling new value pools and developing hypotheses for value. This will mean getting hands on with data in messy (multidimensional) exploratory analysis of complex to identify and prioritise strategic opportunities for value.

In the past 2 years we have deployed a shiny, new modern tech stack and invested in a new Data & AI Academy so you’ll have plenty of opportunity to explore new technologies and keep up to date with the latest techniques.

To be successful, you’ll need strong analytical skills to identify key value drivers and model potential scenarios and be familiar with statistical methods to ensure we are robust and credible in our efforts to take an insight-led approach to inform our decision making at a strategic level.

Key Responsibilities:
  • Analyse relevant data to uncover trends, patterns, and insights that can inform strategic decision-making, prioritisation and increase our conviction in attainable value.
  • Collaborate with senior business stakeholders and technical subject matter experts to explore strategic opportunities for value.
  • Effective data storytelling, by nailing presentation of your findings in the form of actionable insights for senior leaders in a clear and concise manner to support strategic decision-making which will deliver real change.
  • Liaise with subject matter experts to identify data that is important and collaborate with colleagues/stakeholders to uncover key insights and explore feasibility to qualify opportunities and clarify key factors to inform effective approaches to deliver value.
  • Ensure integrity and accuracy in all analyses, recommendations and evaluations.
Experience:
  • An inquisitive mind, constantly looking at opportunities with curiosity, and confident in handling complexity and ambiguity.
  • Analytical thinker with effective problem structuring skills to find a way to turn business questions into data questions that we can research through our data to inform strategic decision-making.
  • Demonstrable experience of having delivered actionable insight that led to significant value creation.
  • Skilled and experienced in statistical analysis and modelling, proficient in data wrangling and data feature engineering; experienced in relevant data technologies such as Azure, DataBricks, PowerBI, and coding languages such as Python, SQL ideally experience using Git to ensure a robust, versioned and traceable codebase.
  • Strong influencing and communication skills, with the ability to convey complex messages and concepts to non-technical stakeholders.
  • Willing to embrace new opportunities to learn, keen to champion and embrace opportunities for innovation.
  • Desirable - an understanding and experience of behavioural science techniques.
  • Desirable – motivation to coach and develop data analysis skills in others.

If you think you would be a great fit for our data team at Royal London but don’t meet all the requirements of the role, please get in touch as your application will still be considered.

Why Join Us?
  • Be part of a team that is motivated by purpose and which values innovation and insight-led decision-making.
  • Work in a collaborative environment with opportunities for professional growth and development.
  • Enjoy working with a modern technology stack and gnarly business problems and data sets.
About Royal London

We’re the UK’s largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services. Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve.

We’ve always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance.

We’re an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background. We are proud supporters of Women in Data.

Stay connected! Follow us on LinkedIn for updates on career opportunities and more.

Principal Data Analyst employer: Women in Data®

At Royal London, we pride ourselves on being an inclusive and innovative employer, offering a collaborative work culture that values professional growth and development. With a modern technology stack and a commitment to meaningful impact, our Principal Data Analyst role provides the opportunity to lead strategic initiatives while enjoying excellent benefits such as 28 days of annual leave and a generous pension scheme. Join us in Edinburgh, Glasgow, or Alderley Park, where you can thrive in a supportive environment dedicated to empowering our employees and making a difference in the lives of millions.
W

Contact Detail:

Women in Data® Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Principal Data Analyst

Tip Number 1

Familiarise yourself with the latest data technologies mentioned in the job description, such as Azure, DataBricks, and PowerBI. Being able to discuss these tools confidently during your interview will show that you're proactive and ready to hit the ground running.

Tip Number 2

Brush up on your data storytelling skills. Prepare to present complex data insights in a clear and concise manner, as this is crucial for influencing senior stakeholders. Practising how to convey your findings effectively can set you apart from other candidates.

Tip Number 3

Network with current employees or alumni from Women in Data. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during your interview.

Tip Number 4

Demonstrate your curiosity and analytical mindset by preparing examples of how you've tackled complex data problems in the past. Be ready to discuss specific scenarios where your insights led to significant value creation, as this aligns perfectly with what they are looking for.

We think you need these skills to ace Principal Data Analyst

Strong Analytical Skills
Statistical Analysis and Modelling
Data Wrangling
Data Feature Engineering
Proficiency in Python and SQL
Experience with Azure and DataBricks
PowerBI Expertise
Effective Data Storytelling
Communication Skills
Problem Structuring Skills
Curiosity and Inquisitive Mindset
Collaboration with Stakeholders
Integrity and Accuracy in Analysis
Coaching and Development Skills
Understanding of Behavioural Science Techniques

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Principal Data Analyst role. Focus on your analytical skills, experience with data technologies like Azure and Python, and any leadership roles you've held.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data analysis and how it can drive strategic decision-making. Mention specific examples of how you've delivered actionable insights in previous roles and how you can contribute to Women in Data.

Showcase Your Analytical Skills: Provide examples in your application that demonstrate your analytical thinking and problem-solving abilities. Discuss any complex data projects you've worked on and the impact they had on business outcomes.

Highlight Collaboration Experience: Since the role involves working with senior stakeholders and technical experts, emphasise your experience in collaborative environments. Share instances where you've successfully communicated complex data findings to non-technical audiences.

How to prepare for a job interview at Women in Data®

Showcase Your Analytical Skills

Prepare to discuss specific examples of how you've used your analytical skills to uncover trends and insights. Be ready to explain the methodologies you employed and the impact your findings had on strategic decision-making.

Master Data Storytelling

Practice presenting your data findings in a clear and concise manner. Use storytelling techniques to make your insights relatable and actionable for non-technical stakeholders, as this will be crucial in your role.

Familiarise Yourself with Relevant Technologies

Brush up on your knowledge of tools like Azure, DataBricks, PowerBI, and coding languages such as Python and SQL. Be prepared to discuss how you've used these technologies in past projects to drive value.

Demonstrate Your Curiosity and Willingness to Learn

Express your enthusiasm for exploring new technologies and methodologies. Share examples of how you've embraced innovation in your previous roles and how you plan to continue doing so in the future.

W
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>