Trainee Data Analyst

Slough
1 week ago
Create job alert

Join a leading IT firm as a Trainee Data Analyst and embark on a promising career path in data analysis. This entry-level role is ideal for recent graduates or individuals transitioning into the IT sector, offering a robust platform to develop analytical skills and contribute to impactful projects.

Responsibilities:

  • Support the collection and processing of complex data sets from varied sources to aid in decision-making processes.

  • Work closely with senior analysts to manage and optimise databases and analytical systems.

  • Utilise statistical methods to analyse data and generate useful business reports.

  • Participate in the design and implementation of data gathering and data processing systems.

  • Interpret data and collaborate with the IT team to enhance business operations through data-driven insights.

  • Prepare reports and visualisations to communicate findings to internal and external stakeholders.

    Requirements:

  • Holds a Bachelor’s degree in Data Science, Computer Science, Information Technology, or related fields.

  • Demonstrates strong analytical skills and precision in handling and interpreting data.

  • Familiarity with statistical software and tools (e.g., Excel, SPSS, SAS) and basic knowledge of SQL and data visualisation tools like Tableau.

  • Possesses excellent communication skills, capable of explaining complex data in a straightforward way.

  • Shows initiative, ability to work independently, and commitment to personal and professional growth.

    Offering:

  • A structured training program designed to build expertise in data analysis.

  • Career progression opportunities in a thriving and innovative sector.

  • Exposure to advanced technologies and methodologies in data handling.

  • A supportive and diverse team environment that fosters professional development.

    This position represents a fantastic opportunity for individuals eager to develop as data analysts within the rapidly evolving IT industry. Our client values diversity and encourages applications from all qualified candidates, regardless of background

Related Jobs

View all jobs

Trainee Data Analyst

Trainee Data Analyst

Trainee Data Analyst

Trainee Data Analyst

Trainee Data Analyst

Trainee Data 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.

Atos Data‑Engineering Jobs in 2025: Your Complete UK Guide to Architecting the Backbone of Digital Transformation

From building the data lake that powers the 2024 Paris Olympic Games to operating one of Europe’s fastest exascale supercomputers, Atos (and its digital spin‑off Eviden) sits at the heart of large‑scale data transformation. The company’s Big Data & Security and Digital Business Platforms units design, build and run cloud‑native analytics stacks for governments, telecoms, financial services and retailers worldwide. With the split of infrastructure services into Tech Foundry and digital/AI into Eviden completed in January 2025, Atos is doubling down on data engineering talent. The Atos careers site currently lists 400+ UK vacancies, more than 150 tagged “Data & AI”. Whether you’re a Python‑Spark aficionado, an ELT wizard on Azure Synapse, or a solution architect who can turn legacy mainframe feeds into real‑time dashboards, this guide explains how to land an Atos data‑engineering job in 2025.

Data Engineering vs. Data Science vs. Data Analytics Jobs: Which Path Should You Choose?

In the modern data-driven era, businesses in every sector—retail, finance, healthcare, and beyond—are constantly gathering large volumes of information to power insights and fuel decision-making. Consequently, the demand for data professionals has skyrocketed, with Data Engineering jobs in particular experiencing rapid growth. However, many job seekers remain unsure about how Data Engineering differs from Data Science or Data Analytics, or which role aligns best with their interests and career aspirations. This comprehensive guide will demystify the key differences among Data Engineering, Data Science, and Data Analytics. We’ll explore overlapping and distinctive skills, delve into typical job responsibilities, discuss salary ranges, and provide real-world examples of each role in action. By the end, you’ll have a clearer understanding of which path might suit you best. And when you’re ready to move forward, visit www.dataengineeringjobs.co.uk to explore the latest vacancies and take the next step in your data-focused career.

Data Engineering Programming Languages for Job Seekers: Which Should You Learn First to Launch Your Career?

In an era where data is fueling decision-making and driving innovation across industries, data engineering has emerged as a pivotal career path. Rather than just collecting and storing information, data engineers design and maintain sophisticated pipelines that transport, transform, and store massive datasets—enabling data scientists, analysts, and business teams to glean meaningful insights. If you’re researching opportunities on www.dataengineering.co.uk, you may be wondering: “Which programming language should I learn first for a career in data engineering?” It’s a great question. Data engineering spans a wide range of tasks—ETL pipelines, real-time streaming, data warehousing, big data frameworks, and more—requiring a versatile toolset. Languages like SQL, Python, Scala, Java, Go, and R each play unique roles in building robust data infrastructures. In this guide, you’ll discover: Detailed overviews of the top programming languages in data engineering. Pros, cons, and industry relevance for each language. A simple beginner’s project to sharpen your data engineering skills. Essential resources and tips to help you thrive in the job market.