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- Tasks: Join as a Senior Data Analytics Advisor, blending analysis with stakeholder engagement.
- Company: Be part of a leading trade body shaping the UK insurance and savings industry.
- Benefits: Enjoy a hybrid work model, competitive salary, and bonus opportunities.
- Why this job: Influence industry thinking while enhancing your technical and communication skills in a collaborative culture.
- Qualifications: Strong SQL and Excel skills required; experience with data visualisation tools preferred.
- Other info: 12-month fixed-term contract; UK residency required, no sponsorship available.
The predicted salary is between 39000 - 65000 £ per year.
SENIOR DATA ANALYTICS ADVISOR (12-MONTH FTC)
UP TO £65,000 + BONUS
HYBRID – LONDON – 2X A WEEK
Please note, the company is unable to offer sponsorship and you must be a UK resident to apply
Company
This organisation is a leading trade body representing the UK insurance and long-term savings industry. Acting as the collective voice of its members, it plays a crucial role in shaping policy, supporting innovation, and providing authoritative data and insight. It’s recognised for its collaborative culture, approachable leadership team, and meaningful industry impact – from supporting members through the pandemic to leading on complex, long-term issues that affect millions of customers.
The Role
They are seeking a Senior Data Analytics Advisor to join the analytics function on a 12-month fixed-term contract. The role blends hands-on analysis with significant stakeholder engagement, supporting a wide range of projects from market forecasting and policy development to diversity and inclusion reporting.
You’ll be responsible for collecting, analysing, and presenting data from member organisations and third-party sources, providing actionable insights that inform policy, communications, and industry decisions.
This is a highly collaborative role where you’ll work with colleagues across policy, media, and research teams, liaise with external stakeholders, and occasionally present insights in committee meetings. It’s a fantastic opportunity to influence industry thinking while sharpening your technical and communication skills.
Key Responsibilities
- Data Collection & Management – Gather and validate data from member firms, surveys, and third-party sources (e.g., market research, ONS, financial reports).
- Analysis & Insight – Use Excel and SQL to analyse data, identify trends, and generate actionable insights for both internal and external stakeholders.
- Reporting & Visualisation – Build clear, compelling dashboards and reports in Power BI (or similar) to share findings with colleagues and members.
- Stakeholder Engagement – Collaborate with member firms, policy teams, and external partners to ensure robust data collection and effective communication of results.
- Project Support – Contribute to key initiatives such as annual diversity and inclusion data collection, ad-hoc policy projects, and media team data requests.
- Market Intelligence – Support forecasting and subscriber identification projects, helping the organisation stay ahead of industry trends.
Skills and Experience
Must-haves:
- Strong SQL and Excel skills, with proven experience handling complex datasets.
- Proficiency in a data visualisation tool (Power BI strongly preferred but open to any).
- Experience working with third-party/market research datasets and survey data.
- Ability to create meaningful insights from both internal and external data sources.
- Excellent communication and stakeholder management skills.
Nice-to-haves:
- Background in insurance, financial services, or market research.
- Experience with Python for statistical analysis.
- Advanced Power BI skills.
Senior Data Analytics Advisor employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analytics Advisor
✨Tip Number 1
Familiarise yourself with the latest trends in the insurance and long-term savings industry. Understanding current challenges and innovations will help you engage more effectively with stakeholders and demonstrate your knowledge during discussions.
✨Tip Number 2
Brush up on your SQL and Excel skills by working on real-world datasets. Consider taking online courses or participating in data analysis projects to showcase your ability to handle complex datasets, which is crucial for this role.
✨Tip Number 3
Practice creating dashboards and reports using Power BI or similar tools. Having a portfolio of visualisations ready to share can set you apart and demonstrate your capability to present data insights clearly and compellingly.
✨Tip Number 4
Network with professionals in the insurance and financial services sectors. Attend industry events or join relevant online forums to build connections that could provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Senior Data Analytics Advisor
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong SQL and Excel skills, as well as your experience with data visualisation tools like Power BI. Emphasise any relevant experience in the insurance or financial services sectors.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the Senior Data Analytics Advisor role and how your background aligns with the responsibilities outlined in the job description. Mention specific projects or experiences that demonstrate your analytical and stakeholder engagement skills.
Showcase Your Analytical Skills: Provide examples of how you've used data to generate actionable insights in previous roles. Highlight any experience with market research datasets and your ability to communicate findings effectively to stakeholders.
Proofread Your Application: Before submitting your application, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL and Excel in detail. Bring examples of complex datasets you've handled and how you derived insights from them. This will demonstrate your technical proficiency, which is crucial for the role.
✨Prepare for Stakeholder Engagement Scenarios
Since the role involves significant stakeholder engagement, think of examples where you've successfully collaborated with different teams or external partners. Be ready to explain how you communicated findings and ensured effective data collection.
✨Demonstrate Your Data Visualisation Expertise
Familiarise yourself with Power BI or any other data visualisation tools you've used. Prepare to discuss how you've created dashboards or reports that effectively communicate insights. If possible, bring a portfolio of your work to showcase your skills.
✨Understand the Industry Context
Research the insurance and long-term savings industry to understand current trends and challenges. Being knowledgeable about the sector will help you answer questions more effectively and show your genuine interest in the role and the organisation.