Finance Analyst

Hopton
8 months ago
Applications closed

Related Jobs

View all jobs

Data engineer

Python Data Engineer - Hedgefund

Data Engineer

Data Engineer – GCP/DSS

Data Governance Lead

Lead Data Engineer (Azure)

Job Title: Finance Analyst

Location: Lowestoft

Salary: £45,000 - £50,000 (DOE)

Our client is looking for a detail-oriented Finance Analyst to join their dynamic finance team. This role involves preparing financial reports, analysing key metrics, and supporting forecasting and budgeting processes. The successful candidate will play a crucial role in providing insights to drive business performance and improve decision-making.

Key Responsibilities

Prepare weekly and monthly financial reports, analysing key metrics.
Conduct variance analysis to assess financial performance and identify key drivers.
Maintain accurate material and finished goods pricing through regular updates and analysis.
Assist in the month-end and quarter-end close process, including posting necessary accruals and journals.
Develop financial models to support forecasting and scenario planning.
Collaborate with finance and operational teams to enhance data governance and reporting accuracy.
Support continuous improvement initiatives, including automation and process optimisation.
Ensure compliance with internal controls and audit requirements.
Ideally, you will have a bachelor's degree in finance, accounting, or a related field. We welcome applications from qualified, part-qualified, or qualified-by-experience candidates. You should have a minimum of three years' experience in financial reporting and forecasting, along with strong analytical and problem-solving skills to interpret complex data. Proficiency in financial planning systems, SAP, and business intelligence tools is essential, as well as excellent communication and stakeholder management skills.

If you are a proactive finance professional looking for a new challenge, we'd love to hear from you. Please apply by sending your CV to (url removed)

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.

Maths for Data Engineering Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data engineering jobs in the UK, maths can feel like a vague requirement hiding behind phrases like “strong analytical skills”, “performance mindset” or “ability to reason about systems”. Most of the time, hiring managers are not looking for advanced theory. They want confidence with the handful of maths topics that show up in real pipelines: Rates, units & estimation (throughput, cost, latency, storage growth) Statistics for data quality & observability (distributions, percentiles, outliers, variance) Probability for streaming, sampling & approximate results (sketches like HyperLogLog++ & the logic behind false positives) Discrete maths for DAGs, partitioning & systems thinking (graphs, complexity, hashing) Optimisation intuition for SQL plans & Spark performance (joins, shuffles, partition strategy, “what is the bottleneck”) This article is written for UK job seekers targeting roles like Data Engineer, Analytics Engineer, Platform Data Engineer, Data Warehouse Engineer, Streaming Data Engineer or DataOps Engineer.

Neurodiversity in Data Engineering Careers: Turning Different Thinking into a Superpower

Every modern organisation runs on data – but without good data engineering, even the best dashboards & machine learning models are built on sand. Data engineers design the pipelines, platforms & tools that make data accurate, accessible & reliable. Those pipelines need people who can think in systems, spot patterns in messy logs, notice what others overlook & design elegant solutions to complex problems. That is exactly why data engineering can be such a strong fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a data engineering career, you might have heard comments like “you’re too disorganised for engineering”, “too literal for stakeholder work” or “too distracted for complex systems”. In reality, the traits that can make traditional office environments hard often line up beautifully with data engineering work. This guide is written for data engineering job seekers in the UK. We’ll cover: What neurodiversity means in a data engineering context How ADHD, autism & dyslexia strengths map to common data engineering tasks Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data engineering – & how to turn “different thinking” into a genuine professional superpower.

Data Engineering Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the data engineering jobs market in the UK is evolving fast. Almost every organisation is talking about AI, analytics & data-driven decision making – but behind all that sits the data engineering function. Cloud costs, complex data estates, stricter regulation & the explosion of AI workloads are all changing how data platforms are built & run. Some companies are tightening budgets & consolidating teams, while others are doubling down on modern data stacks, lakehouses & real-time pipelines. Whether you are a data engineering job seeker planning your next move, or a recruiter building data teams, understanding the key data engineering hiring trends for 2026 will help you stay ahead.