Senior Data Analyst
Senior Data Analyst
Salary up to £55,000 to £65,000 depending on experience
Permanent or FTC
Hybrid / London Hub
At Saga, we are looking to recruit 2 Senior Data Analysts as we are embarking on a big data transformation journey across all our established business units, Cruise, Insurance, Travel, Saga Money and Saga Magazine.
As a group we are focused on growing our customer base, allowing for deeper customer relationships. Working in the Data Analytics team, you will instantly become part of this pivotal team that is shaping our data strategy and driving the development of advanced analytics solutions.
Your primary responsibility will be to harness the power of data to extract and present meaningful insights that inform strategic decisions and contribute to the organisation's overall success.
We work in a hybrid way at Saga both at home and in the office. When you do come into the office, it’ll be with a real purpose in mind – to meet with your team, to work together, and of course to socialise and celebrate too!
**We are keen to appoint 2 new members to this growing team, by April 2025!**Package Description
Everyday our colleagues deliver exceptional experiences to our customers. We believe exceptional work deserves even more exceptional rewards, that's why we have put together an amazing benefits package for all colleagues.
BENEFITS AVAILABLE TO ALL COLLEAGUES:
- Our typical working week is 35 hours, these can be worked flexibly to suit your working style.
- 25 days holiday + bank holidays
- Option to purchase additional leave up to 5 extra days
- Pension scheme matched up to 10%
- Life assurance policy on joining us
- Wellbeing programme
- Colleague discounts including family discounts on cruises and holidays
- Range of reductions and offers from leading retailers, travel groups and entertainment companies
- Enhanced maternity and paternity leave
- Grandparents leave
- Company performance related annual bonus - Up to 5%
- Income protection
- Access to Saga Academy, our bespoke learning platformMain Responsibilities
- Data Analysis and Interpretation: Develop and oversee the analysis of large datasets to identify trends, patterns, and actionable insights relevant to business objectives
- Reporting and Visualisation: Develop and deliver clear and impactful reports and visualizations to communicate key findings to stakeholders. Ensure that reports and dashboards are insightful and align with business objectives
- Collaboration with Stakeholders: Working closely with business stakeholders and technical colleagues to understand analytical requirements and integrate insights into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts
- Data Quality and Governance: Ensure the quality and integrity of data used for analysis, implementing and maintaining data governance best practices. Collaborate with IT and data teams to resolve data quality issues
- Agile ways of working: Operating within an agile framework, participating in sprint planning, and adapting to changing priorities.
- Continuous Improvement: Stay abreast of industry trends, emerging technologies, and best practices in data analytics. Bring the most relevant ones back to SAGA and find ways to implement them to unlock business value
The Ideal Candidate
Working as a Senior Data Analyst at Saga, you will need to demonstrate the following skills and experience:
- Proven experience in an analytical role (customer/marketing analytics preferred), with a track record of successful project delivery
- Excellent storytelling and communication skills, with the ability to generate a compelling narrative and convey complex analytical concepts to both technical and non-technical stakeholders
- Strong analytical and quantitative skills, with proficiency in statistical analysis and data visualisation
- Experience with analytics tools such as SQL (essential), Python, R, and visualisation tools like Tableau (highly desirable)
- Demonstrated experience working in an agile development environment, with a focus on iterative and collaborative project delivery
- A curious nature, with the drive to learn and master new tech and methods
- Have gained a bachelor’s or master’s degree in a relevant field such as Statistics, Economics, Mathematics of Business Analytics
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