Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Operational Data Analyst

No7 Beauty Company
7 months ago
Applications closed

Related Jobs

View all jobs

Commercial Data Analyst

Cost Data Analyst - Senior Cost Manager

Senior Data Analyst Technology (Product, Engineering, Design) · London ·

Data Analyst

Interim Senior Data Analyst- Healthcare

Interim Senior Data Analyst- Healthcare

Job Title:Senior Operational Data Analyst

Location: Nottingham

Contract: Perm

About the role

Our Operational Analytics team supports the business to make smarter data-based decisions. We focus on agile working, continuous improvement, and personal development. As the business becomes more focused on data and technology, we evolve too with more complex data utilization and providing analytics-backed value.

Understand the business as a specialist and support the business with driving change, commercial decisions, and supporting the business to evolve backed by a data-driven approach. Delivering business needs and requirements to be able to provide different outputs, e.g., Data, Reporting, Analytics, Insight, etc. Utilising a problem-solving mindset and technical expertise in tools such as Power BI, Azure DataBricks, etc.

Become a subject matter expert for part of the business and support the business with driving change, commercial decisions through data analysis, reporting, insights, and drive on customer self-serve capabilities.

  • Work with the business to understand the business and deliver reporting, analytics, and insight expectations
  • Build, maintain, and manage stakeholder relations across business functions
  • Perform data ETL from various sources/systems into Power BI/Alteryx
  • Working in an Agile manner provide accurate, cross-business functions aligned outputs
  • Support maintenance of live infrastructure for data, reporting, and analytics
  • Drive capabilities development while instilling a self-serve culture
  • Show out-of-the-box thinking and eye for opportunities when looking at potential problems
  • Support the Analytics manager to deliver long-term business objectives and support with the development of the team

What you’ll need to have

These are the essential skills or experience needed to succeed in this role.

  • Advanced knowledge and technical experience with Power BI reporting and analytics (along with other MS Packages e.g., Power Automate)
  • Intermediate working knowledge of Azure DataBricks and programming languages like Python, SQL, etc.
  • Knowledge of statistical, financial, and commercial analytics techniques e.g., a/b testing, mix variance analysis, etc.
  • Experience of data modeling to assess profitability and impact analysis
  • Experience of turning various data sets into outputs to drive commercial value
  • Experience of organizing and setting up data for advanced analytics models
  • Stakeholder relationship management
  • Curious, analytical problem-solving mindset
  • Commercial acumen to understand raw data and present the story as output
  • Ability to map processes and document data and models/reporting
  • Be able to simplify and explain complex technical models and outputs to key business stakeholders

It would be great if you also have

These are desirable skills or experience and are not essential, so we would welcome applications from candidates that don’t match this additional criteria.

  • Expertise in other systems/tools such as Alteryx, R, etc.
  • Working knowledge of commercial business areas like Sourcing, Product quality, sustainability, etc.
  • Agile Project management

Why Boots

At Boots, we foster a working environment where consideration and inclusivity help everyone to be themselves and reach their full potential. We are proud to be an equal opportunity employer, passionate about embracing the diversity of our colleagues and providing a positive and inclusive working environment for all. As the heart of everything we do at Boots, it's with you, we change for the better.

What's next

Where a role is advertised as full-time, we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to providereasonable adjustmentsto help you to be at your best.

This role requires the successful candidate to complete aPre-employment checkafter receiving an offer. Depending on your location you will be asked to submit either a DBS (Disclosure & Barring Service), PVG (Protection of Vulnerable groups), or an Access NI Check.

Boots is a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case-by-case basis.

#J-18808-Ljbffr

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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.