National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Financial Data Analyst (The Insightful Numbers Expert)

Unreal Gigs
London
6 months ago
Applications closed

Related Jobs

View all jobs

Financial Data Analyst

Digital Data Analyst (Finance)

Data Analyst

Accounts Payable Analyst

Financial Data & Insights Analyst AVP

Finance Analyst

Do you have a passion for diving deep into financial data, uncovering trends, and translating raw numbers into actionable insights? Are you excited about using data analytics to drive strategic decisions that shape the future of finance? If you’re ready to apply your data expertise in a fast-paced environment where you’ll have a direct impact on business performance, thenour clienthas the perfect opportunity for you. We’re looking for aFinancial Data Analyst(aka The Insightful Numbers Expert) to analyze financial data, identify trends, and help guide informed decisions that improve profitability and operational efficiency.

As a Financial Data Analyst atour client, you’ll work closely with finance teams, data scientists, and business leaders to gather, analyze, and interpret financial data. You’ll develop reports, build predictive models, and provide insights that help drive key business decisions, contributing to the overall financial health of the company.

Key Responsibilities:

  1. Analyze Financial Data and Develop Insights:
  • Gather, analyze, and interpret financial data to identify trends, variances, and opportunities for growth. You’ll create detailed financial reports that provide clear insights into revenue streams, expenses, and profitability.
Build Predictive Models and Forecasting Tools:
  • Develop predictive models using statistical techniques and machine learning algorithms to forecast financial performance, project future revenues, and predict costs. You’ll help guide budgeting and financial planning with data-driven forecasts.
Collaborate with Cross-Functional Teams:
  • Work closely with finance, operations, and business teams to ensure alignment between data insights and business objectives. You’ll provide data analysis and insights that help stakeholders understand the financial impact of strategic decisions.
Monitor Financial Performance Metrics:
  • Track key financial metrics such as profit margins, cost variances, and cash flow. You’ll develop dashboards and reports that help monitor performance in real-time, ensuring the company stays on track with its financial goals.
Support Budgeting and Forecasting Processes:
  • Provide financial analysis to support budgeting, forecasting, and long-term financial planning. You’ll assist in scenario analysis to evaluate the financial impact of various business strategies, helping to drive data-informed decision-making.
Identify Cost-Saving Opportunities:
  • Analyze spending patterns and operational costs to identify opportunities for cost savings and improved efficiency. You’ll provide recommendations to improve profitability and operational effectiveness based on your financial analysis.
Ensure Data Accuracy and Integrity:
  • Work to ensure the accuracy and integrity of financial data by developing robust data validation processes. You’ll ensure that the data used for analysis is reliable and trustworthy, contributing to informed decision-making.

Requirements

Required Skills:

  • Data Analysis and Financial Modeling:Strong experience in financial data analysis, with expertise in building financial models, performing trend analysis, and using statistical techniques to analyze large datasets. You’re proficient in Excel, SQL, and data analysis tools like Python or R.
  • Predictive Modeling and Forecasting:Experience developing predictive models to forecast financial performance and project revenues and costs. You’re familiar with machine learning algorithms and techniques for financial forecasting.
  • Data Visualization:Proficiency in data visualization tools such as Power BI, Tableau, or other dashboarding tools. You can create visualizations that communicate complex financial data clearly and effectively.
  • Collaboration and Communication:Excellent collaboration skills with the ability to work cross-functionally with finance, operations, and business teams. You can explain data insights to both technical and non-technical stakeholders.
  • Attention to Detail:Strong attention to detail and accuracy when analyzing financial data. You’re skilled at validating data and ensuring that all analysis is based on accurate, high-quality data.

Educational Requirements:

  • Bachelor’s or Master’s degree in Finance, Economics, Data Science, Mathematics, or a related field.Equivalent experience in financial data analysis is highly valued.
  • Certifications such as Chartered Financial Analyst (CFA), Certified Financial Planner (CFP), or similar are a plus.

Experience Requirements:

  • 3+ years of experience in financial data analysis,with hands-on experience analyzing financial statements, building financial models, and developing data-driven insights.
  • Experience working with financial data in industries such as finance, banking, insurance, or tech is highly desirable.
  • Experience using data analysis tools such as Python, R, Excel, SQL, or similar tools is highly desirable.

Benefits

  • Health and Wellness: Comprehensive medical, dental, and vision insurance plans with low co-pays and premiums.
  • Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
  • Work-Life Balance: Flexible work schedules and telecommuting options.
  • Professional Development: Opportunities for training, certification reimbursement, and career advancement programs.
  • Wellness Programs: Access to wellness programs, including gym memberships, health screenings, and mental health resources.
  • Life and Disability Insurance: Life insurance and short-term/long-term disability coverage.
  • Employee Assistance Program (EAP): Confidential counseling and support services for personal and professional challenges.
  • Tuition Reimbursement: Financial assistance for continuing education and professional development.
  • Community Engagement: Opportunities to participate in community service and volunteer activities.
  • Recognition Programs: Employee recognition programs to celebrate achievements and milestones.
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.