National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Reporting Analyst

XP Power
Pangbourne
5 months ago
Applications closed

Related Jobs

View all jobs

Part Time Data and Reporting Analyst

Data Analyst (ServiceNow)

Regulatory Reporting Accountant

Performance Business Partner

Senior Data Management Professional - Data Modeling - Company Financials

Data Analyst

Job Description

We are seeking a skilled and detail-oriented Reporting Analyst to join our team in Pangbourne, United Kingdom. As a Reporting Analyst, you will play a crucial role in transforming complex data into actionable insights that drive business decisions. This position offers an exciting opportunity to work with cutting-edge technologies and collaborate with cross-functional teams to deliver high-quality reports and analytics solutions.

  • Managing ad-hoc data extraction and transformation requests to support business needs for data visibility. 

  • Support a new initiative for business self-serve analytics with the provision of common comprehensive and re-usable datasets. 

  • Provision of visuals in Power BI to meet business reporting requirements. 

  • Strong working knowledge of technologies including SQL, Azure and Databricks to compile underlying data models to support reporting. 

  • Support the ingestion process and scheduling of source raw data tables into the XP data warehouse. 

  • Liaison with the business and SAP Data Architect to understand data requirements for extraction in preparation for reporting. 

  • Support the business with any general reporting issues, queries and management of enhancement requests. 

  • Maintenance and creation of key documentation to support BI and the XP reporting catalogue. 


Qualifications

  • Bachelor's degree in Business, Computer Science, Statistics, or a related field
  • Proven experience working with Power BI and strong SQL skills for data querying and transformation
  • Proficiency in developing data cubes to support self-serve reporting, including requirements gathering, design, build, deployment, and training
  • Experience working with SAP systems, specifically in reporting and data analysis
  • Exposure to Microsoft Azure Data Factory and Databricks
  • Strong analytical mindset with the ability to interpret complex data sets and generate meaningful insights
  • Excellent documentation skills, including the ability to translate business requirements into technical specifications and create clear user guides
  • Detail-oriented with a strong focus on data accuracy and quality
  • Outstanding communication skills, with the ability to present complex problems in a simple manner to non-technical audiences
  • Experience with data visualization tools and knowledge of data warehousing concepts
  • Ability to engage with stakeholders at all levels and work collaboratively in a team environment
  • Self-motivated with excellent organizational skills and the ability to work independently
  • Proven track record of delivering efficient and innovative reporting solutions



Additional Information

Location

  • Based in the UK
  • Hybrid 2 days in the Pangbourne Office and 3 days from home
National AI Awards 2025

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.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.