Data Analyst

Newhaven
4 days ago
Create job alert

Data Analyst

The role involves collaborating closely with fellow analysts to extract, compile, and validate data for inclusion in a wide range of reports, ensuring data accuracy and integrity throughout the process. This role involves auditing datasets to identify inconsistencies or errors before final inclusion in reports, as well as leveraging Business Intelligence (BI) software to create, maintain, and schedule reports. Additionally, it requires managing the entire reporting lifecycle, from data extraction and aggregation to the design and automation of recurring reports. The goal is to deliver reliable, insightful, and timely reports that support informed decision-making across the organisation.

Data Analyst's Benefits:

Salary: £33k (DOE), Bonus, 23 days holidays plus BH, Pension, Training & Development & Company events.

Data Analyst's Key Responsibilities:

  • Oversee the execution of the audit process.

  • Analyse trends, review forecast exceptions, and develop a robust demand plan to optimise service and minimise costs.

  • Provide critical data for formal improvement initiatives and proactively identify opportunities for process enhancements.

  • Identify and resolve data gaps in the ERP and forecasting systems.

  • Conduct periodic audits between the ERP system.

  • Develop proficiency in PowerBI for report and dashboard creation.

    Data Analyst's Education and Experience

  • Power BI Desktop and Report Builder (this is the central skill set of the role)

  • SQL Database Skills (create views and queries)

  • MS Excel Advanced (including charts, lookup tables, pivot tables, presentation / report formatting skills)

  • Data reconciliation

  • Ability to organise own workload based on priorities and deadlines

  • Ability to work alone and as part of a team

    We are an equal opportunities agency and welcome applicants from all backgrounds.

    We are acting on behalf of the client as an Employment Agency in relation to this vacancy.

    PLEASE NOTE SPONSORSHIP WILL NOT BE PROVIDED AT ANY POINT

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

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.