Financial Data Analyst

Northampton
2 weeks ago
Create job alert

Financial Data Analyst

Our client has just acquired a high-performing UK-based smart home & renewable tech business with untapped potential. They are now entering Phase 1 post-acquisition - the first 12-16 weeks - a critical window to drive exponential growth and send strong signals to all stakeholders (previous owner, lenders, tax authorities, and future investors) that the business is under elite stewardship and on a rapid scaling trajectory.

They are looking for a strategic, numbers-driven operator to work closely with the CEO as the Financial Data Analyst to bring clarity, insight, and momentum from Day 1.

Firstly, What's in it for you?

Day rate up to £350 (DOE)
Performance Bonus Potential
Remote workingFinancial Data Analyst
Responsibilities

Create Total Visibility Across the Business
Map and clean the business data sources across CRM, accounting, operations, and marketing.
Build performance dashboards that provide insights into key business metrics.
Surface and Prioritise Quick Wins
Identify low-hanging growth opportunities using data analysis.
Work with the CEO to implement strategic experiments that improve cash flow and operations.
Model Cashflow & Growth
Develop cashflow forecasts, debt coverage models, and profitability scenarios.
Create financial reports for stakeholders, ensuring clarity and momentum in decision-making.
Improve Data Systems & Tools
Integrate key technology platforms (Xero, CRM, project tools, analytics) to establish a unified data source.
Recommend and implement automation and dashboard solutions to streamline operations.Financial Data Analyst
Requirements

Strong analytical skills with experience in financial modelling and forecasting (Excel/Google Sheets proficiency required).
Previous experience in roles such as Financial Analyst, FP&A Lead, RevOps Manager, or Strategy Consultant in a high-paced environment.
Strong business acumen, with the ability to translate data into actionable business strategies.
Proficiency in financial and business intelligence tools such as PowerBI, Looker, Tableau, Xero, and CRM analytics.
Experience working with automation tools like Zapier or Notion is a plus.
Bonus: Prior experience in turnaround strategies, finance restructuring, or scaling businesses.Streamline Search is a technical recruitment agency based in Chichester, West Sussex operating across the United Kingdom. We are acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR by applying to this post you are granting us consent to process your data and contact you in relation to this application

Related Jobs

View all jobs

Financial Data Analyst

Data & Insights Analyst

Data Analyst (Financial Risk Assessment)

Data Analyst - Financial Crime

Finance Data Analyst

Financial Strategy Analyst

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.

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.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.