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Reed Technology

Senior Data Analyst I

North Petherton
Posted about 15 hours ago
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Do you enjoy turning complex data into clear insights that drive better business decisions?

Are you excited by solving challenging problems, leading impactful analytics projects, and helping others grow through data?

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles.

About the Role

As a Senior Data Analyst I, you will partner with stakeholders to solve business challenges through data-driven insights. You will lead complex analytics projects, transform and analyze large datasets, and create compelling visualizations that support strategic decision-making. This role also provides the opportunity to mentor others, develop innovative data products, and leverage modern analytics and AI tools to deliver meaningful business outcomes.

Responsibilities

  • Partner with stakeholders to understand business needs and identify the most relevant analyses, KPIs, and success measures.
  • Support stakeholders in setting appropriate goals and defining measurable outcomes aligned to business objectives.
  • Prepare and transform data using advanced blending, refinement, and quality techniques (including large/complex datasets).
  • Apply statistical methods and intermediate data models/scenarios to evaluate trends, drivers, and potential outcomes.
  • Create clear, compelling data visualizations and narratives tailored to the target audience.
  • Lead and execute analytics projects independently, including scoping, planning, and managing deliverables to deadlines.
  • Serve as a subject matter expert within an assigned domain and coach/mentor junior team members.
  • Develop working knowledge of adjacent disciplines and how they influence analytics needs and interpretation.
  • Leverage approved AI tools to accelerate analysis and deliverables while maintaining accountability for accuracy and quality.
  • Develop data products that meet data consumers where they are in their data literacy journey.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Requirements

  • Ability to understand complex data structures and apply advanced data preparation, blending, refinement, and quality techniques (including big data).
  • Experience applying intermediate statistics to business problems.
  • Significant experience leveraging SQL and Python for data querying, collection, transformation, and analysis.
  • Experience with data visualization tools such as Tableau and/or Power BI; ability to design dashboards and narratives for business audiences.
  • Familiarity with advanced analytics/data platforms (e.g., Databricks or equivalent).
  • Strong project execution skills: able to structure work into modular tasks, manage multiple projects in parallel, communicate progress, and resolve blockers.
  • Ability to craft effective prompts, iterate toward higher-quality outputs, and incorporate domain context and constraints.
  • Experience in analytics, reporting, or data science-adjacent roles.

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Working Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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Skills

SQL
Python
Tableau
Power BI
Data visualization
Statistical analysis
Data transformation
Big data
Project management
Stakeholder management
Mentoring
Generative AI
Databricks
Data modeling
Business intelligence

Location

North Petherton, England, United Kingdom

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