At a Glance
- Tasks: Lead advanced analytics projects and mentor a team of analysts to drive impactful business decisions.
- Company: Dynamic company in Watford with a hybrid work model and a focus on innovation.
- Benefits: Competitive salary, career development opportunities, and a collaborative work environment.
- Other info: Join a culture that values curiosity, technical excellence, and continuous improvement.
- Why this job: Shape the future of analytics while working closely with senior stakeholders and making a real impact.
- Qualifications: Expertise in SQL, Python/R, and experience in leading complex analytical initiatives.
The predicted salary is between 59400 - 72600 £ per year.
The Principal Insight & Analytics Analyst is a senior subject matter expert responsible for shaping, leading and delivering advanced analytics products that influence strategic and operational decisions. This is a highly visible, hands-on role that combines deep technical capability, squad delivery accountability, senior stakeholder engagement and mentoring.
The Principal Analyst will also be embedded in the Player squad, acting as the trusted analytical “right hand” to their Business Partner and accountable for the quality and delivery of analytics within that squad. This position plays a key role in a matrix operating model: setting the standards, coaching analysts and assuring analytical quality across squads, while partnering with the squad Business Partner to ensure analytics delivery is focused, impactful and aligned to business priorities.
Responsibilities
- Champion a culture of curiosity, technical excellence, responsible data use, commercial impact and continuous improvement.
- Raise the capability of the wider analytics community through technical guidance, peer review, reusable frameworks, documentation and knowledge sharing.
- Shape squad and analytics roadmaps with Business Partners, helping prioritise work based on business value, technical feasibility, data readiness and strategic alignment.
- Collaborate closely with data engineering, data product and technology teams to ensure data infrastructure, pipelines and semantic layers support advanced analytical needs.
- Translate complex data and modelling outputs into clear, compelling narratives tailored to executive, senior leadership and operational audiences.
- Define best practice for analytical methods, data modelling, experimentation, measurement, forecasting, segmentation and data storytelling across the team.
- Apply advanced hands-on analytics using Python/R, SQL, Power BI and relevant statistical or machine learning techniques, ensuring outputs are robust, scalable, automated where appropriate and suitable for repeated business use.
- Own and govern the end-to-end lifecycle of critical analytical products, from discovery and problem framing through to prototyping, productionisation, enablement and continuous improvement.
- Lead the strategy, design, development and delivery of high-impact insight-led analytics products that support key strategic and operational decisions.
- Work within a matrix model where analyst workload, squad priorities and day-to-day task allocation are defined by the relevant squad Business Partner, while this role owns analyst quality, development and analytical standards.
- Provide technical leadership, coaching and quality assurance for analysts working across squads, ensuring outputs are robust, accurate, scalable and aligned to best practice.
- Line manage analysts across the team for performance, career development, capability growth, feedback, objective setting and professional standards.
- Be accountable for the delivery of analytics within the assigned squad, ensuring analytical activity is focused on agreed business priorities, delivered to a high standard and translated into clear business action.
- Act as the embedded analytical lead for an assigned squad, partnering closely with the squad Business Partner as their trusted “right hand” on data, insight and advanced analytics.
The Individual Capability, Knowledge and Experience
- Familiarity with agile ways of working, squad delivery models and tools such as Jira and Confluence.
- Comfortable balancing multiple senior stakeholders, competing priorities and delivery timelines while maintaining technical integrity and business focus.
- Proven ability to lead complex analytical initiatives from ambiguous business problem through to embedded business change.
- Ability to operate as the subject matter expert on advanced analytics, advising on methods, tools, technical standards and interpretation of complex outputs.
- Strong understanding of data modelling, ETL/ELT processes, data quality, metric definition, analytical engineering principles and collaboration with data engineering teams.
- Experience designing, governing and scaling analytical products, insight frameworks, semantic layers, dashboards or measurement solutions used across multiple business areas.
- Advanced hands-on capability in SQL, Python or R for advanced analysis, automation, statistical modelling, forecasting, experimentation, segmentation or machine learning use cases.
- Demonstrable experience partnering directly with Business Partners, heads of function, directors or equivalent senior leadership audiences.
- Proven ability to coach and develop analysts, including setting objectives, giving feedback, supporting career development and raising performance standards.
- Significant experience in senior stakeholder-facing analytics roles, with a strong record of influencing strategy and decisions through data.
Role Scope and Impact
- Acts as an escalation point for complex analytical questions, methodological choices, quality concerns and stakeholder interpretation.
- Sets and maintains technical standards for advanced analytics, insight product delivery and data storytelling across squads.
- Acts as the senior analytical partner and trusted “right hand” to the squad Business Partner.
- Is accountable for analytics delivery and analytical quality within their assigned squad.
- Does not own day-to-day analyst workload allocation where analysts are embedded in squads; this is defined by the relevant squad Business Partner.
- Line manages analysts for performance, professional development, capability building and career progression.
Principal Insight & Analytics Analyst in Watford employer: Persistent Europe
As a PAM Support Lead at our London office, you will join a dynamic team that values innovation and collaboration in a hybrid work environment. We offer competitive benefits, a strong focus on employee development, and opportunities for growth within the organisation, making it an ideal place for professionals seeking meaningful and rewarding careers in cybersecurity. Our commitment to work-life balance and a supportive culture ensures that you can thrive both personally and professionally.
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We think you need these skills to ace Principal Insight & Analytics Analyst in Watford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Persistent Europe
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Persistent Europe!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
