Data Analyst - 12 Month FTC

Searchability
Nottingham
5 days ago
Create job alert

Data Analyst - 12 MONTH FTC

  • Opportunity for aData Analystto join a collaborative business operating in the Reproductive sector in Nottingham
  • Salary up to £35,000 + some fantastic benefits including remote working, purchase additional holiday scheme, pension contribution, and more
  • Apply online or contact Chelsea Hackett via

WHO WE ARE:

We are a leading provider of reproductive treatment, helping people grow their families through innovative, compassionate, and patient-centred care. With a focus on clinical excellence and personalised treatment plans, we combine the latest scientific advancements with expert support to give every patient the best possible chance of success.

OUR BENEFITS:

  • Generous holiday allowance + bank holidays
  • Option to buy / sell additional holidays
  • Pension contribution
  • Life Insurance
  • Flexible working arrangements
  • Employee discount - nursery benefit scheme
  • And more…

WHAT WILL YOU BE DOING?

As a Data Analyst, you'll play a key role in transforming data into actionable insights that support strategic and operational decision-making. You'll be responsible for developing and maintaining reports and dashboards using Power BI, Excel, and other reporting tools, ensuring data accuracy, consistency, and clarity. Working closely with business teams, you'll analyse large datasets to identify trends, patterns, and opportunities, providing clear, data-driven recommendations. You'll automate manual reporting processes, define and track key performance indicators (KPIs), and conduct ad-hoc analysis across departments such as clinical, finance, and operations. Additionally, you'll partner with stakeholders to translate their needs into meaningful data solutions, promoting a data-driven culture across the organisation.

DATA ANALYST - ESSENTIAL SKILLS

  • Proficiency with PowerBI
  • Advanced Excel
  • SQL
  • DAX
  • Excellent communication & the ability to liaise with key stakeholder

TO BE CONSIDERED…

Please either apply by clicking online or emailing me directly . By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst - 3 MONTHS

Data Analyst - Utilities

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.