Graduate Data Analyst

Agility Resoucing
Nottingham
3 weeks ago
Applications closed

Related Jobs

View all jobs

Graduate Data Analyst

Graduate Data Analyst

Senior Data Analyst

Transport Modelling Analyst / Consultant - Management Consulting

Data Analytics Coach

Principal Data Scientist (FTC - 24 months)

My client base comprises of highly successful Data Analysis/Scientist businesses, based in and aroundNottingham.They have solid reputations within their field and have created a culture which allows people to thrive and progress in their careers.

The ideal candidate will have a strong desire for a career in Data; be personable, tenacious and keen to learn.

The responsibilities will include:

  • Proactively and collaboratively develop Analysis and Insight to support Operations
  • Report making to help deliver optimal management decisions
  • Identify, quantify and prioritise opportunities to enhance operational efficiency
  • Apply analytical and technical ability to ensure the team delivers the highest standards of analysis and reporting to key external groups

What are we looking for?

  • Minimum 2:1 within a numeric based degree i.e., Maths, Computer science, Economics, Business, Physics etc.
  • Proficient in use of Microsoft Office product suite, particularly Excel i.e., Pivot Tables and V-Lookups
  • Working knowledge of one or more of the following is advantageous: SQL, R, Python, C++, Java
  • Clear, logical analytical approach to problem-solving
  • Ability to investigate data, find trends, forecast performance, and provide insightful recommendations
  • Ideally, you will drive and have your own transport

Benefits of the role:

  • Competitive salary in a growing company
  • State of the art office with onsite gym, café and games room.
  • Fun competitive work environment.
  • Great progression opportunities.
  • Company celebrations
  • 25+ days holiday entitlement
  • Pension contribution
  • Cycle to work scheme
  • Rewards and bonuses

If you are interested in this fantastic opportunity based inNottingham,please apply direct with an updated CV.

Apply for this job#J-18808-Ljbffr

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.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.