FINANCIAL DATA LEAD

Chandler's Ford
1 month ago
Applications closed

Related Jobs

View all jobs

Financial Data Analyst

EPM Lead

Senior Management Accountant

Operational Finance Analyst

Quantitative Research - CDO Data Governance - Vice President

Marketing Analyst

Financial Data Lead

Salary: Up to £95,000 per annum (DOE)

Location: Hybrid - Southampton, Hampshire

Hours: 37½ hours per week, Monday - Friday

Contract: Full Time, 12 Month FTC

About our client:

Our client is a leading UK insurance provider where their strong values are embedded throughout the business, reflecting their brand ethos in every aspect. They are seeking a talented Financial Data Lead to drive strategic decision-making by enhancing financial data quality and accessibility.

Main Responsibilities:

  • Elevate Data Quality: Lead the review and refinement of financial data requirements to ensure accuracy, consistency, and accessibility.

  • Architect Data Solutions: Design and implement robust data models, integration processes, and governance frameworks.

  • Drive Insightful Reporting: Develop and maintain impactful financial dashboards and reports for key stakeholders.

  • Empower Financial Planning: Conduct in-depth data analysis to support financial planning, forecasting, and strategic decision-making.

  • Optimise Financial Systems: Implement and manage Anaplan and Power BI solutions to enhance financial planning and reporting capabilities.

  • Champion Best Practices: Design and deliver a framework to keep the FP&A team informed on industry trends and data transformation best practices.

  • Ensure Knowledge Sharing: Document data models, processes, and methodologies for clarity and collaboration.

    Skills/Experience Required:

  • Proven Expertise: Extensive experience in financial data management, analysis, and reporting.

  • Systems Proficiency: Experience with financial systems implementation and management.

  • Technical Mastery: Strong knowledge of data modelling, integration, and governance frameworks.

  • Tool Proficiency: Proficiency in Anaplan (desirable), Power BI, and other financial planning and reporting tools.

  • Analytical Acumen: Excellent analytical, problem-solving, and communication skills.

  • Collaborative Spirit: Ability to work effectively with cross-functional teams.

  • Detail-Oriented: Strong attention to detail and commitment to data accuracy and integrity.

  • Industry Insight: Knowledge of industry trends and best practices in data transformation and finance.

    In return for your hard work and commitment, our client offers great benefits, including:

    Our client is a values-driven organisation, recognised as a Top Employer in the UK. They offer a comprehensive benefits package designed to support your well-being and professional growth.

  • Flexible Working: Enjoy smart working options, part-time/job-share opportunities, and a minimum of 35 days of holiday (including bank holidays).

  • Health & Well-being: Access dental insurance, health cash plans, health screenings, mental health support, and well-being activities like yoga and mindfulness.

  • Financial Security: Benefit from annual bonus schemes, salary reviews, competitive pensions, employee savings, and loans.

  • Support at Work: Participate in well-being activities, social events, and sports clubs.

  • Family-Friendly Policies: Enjoy generous maternity, paternity, and adoption leave.

  • Partner Benefits: Access partner life assurance and critical illness cover.

  • Tech Perks: Get deals on various gadgets.

  • Travel Benefits: Utilise car salary exchange, cycle schemes, and vehicle breakdown cover

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.