Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Analyst, ECommerce

JR United Kingdom
Slough
4 days ago
Create job alert

Social network you want to login/join with:

The Independent is an online news publisher that was established in 1986 as a national newspaper independent of party political affiliations or proprietorial influence. In 2016, The Independent became a fully digital publisher, moving away from print in pursuit of sustainability, and to safeguard its values and journalism for the future.

The Independent has always thrived through innovation and change. It was the first British newspaper to add a Saturday magazine; the first to give photography the same prestige as a news copy; the first to challenge the Westminster lobby system of closed briefings; the first broadsheet to move to the more compact ‘tabloid’ format; the first to launch a concise quality compact paper; and the first – and only – major newspaper to pull off a successful transformation to fully digital publishing.

Through The Independent, Independent TV, eCommerce, indy100, subscriptions and other ‘reader revenues’, The Independent plans to continue the work of many decades, bringing much-needed independent journalism to over 100 million unique global visitors a month, make its voice ever louder and more insistent the world over.

In 2024 The Independent’s portfolio of brands increased through a new licensing partnership with BuzzFeed Inc. to operate the BuzzFeed brands in the UK - BuzzFeed UK, Tasty, Seasoned and HuffPost UK. The additional brands echo the existing business ethos and allow for increased audiences and a further strategic diversification of revenue streams.

The Data & Marketing Department

The Data & Marketing department is the intelligence powerhouse of the business, representing the customer. Our goal is to inspire, engage and grow a loyal readership by harnessing data-driven insights and innovative marketing to deliver personalised, impactful content experiences that builds lasting trust, diverse revenue streams, and a thriving future for quality journalism. The department consists of four teams: Data Science & Engineering, Data Intelligence & Monetisation, Research & Insight and Customer Marketing.

The purpose of this team is to understand our customers and the value they bring to our business. They do this by providing performance insight and optimisation opportunities to our core business (editorial, marketing, advertising and ecommerce activities), identifying and validating business expansion opportunities based on insight, identifying and delivering initiatives that generate revenue from our data assets. This role will support the eCommerce function of the business.

About You

An early-career analyst, comfortable working with data and eager to build your skills in a fast-paced digital publishing environment. You enjoy solving problems with data, have a strong eye for detail, and are excited about how insights can drive revenue and improve user experience.

  • A recent graduate or have 1-2 years of experience in a data or analytical role.
  • Experience in Excel or Google Sheets.
  • Experience of Digital Analytics tools e.g. Google Analytics, Adobe Analytics, Chartbeat.
  • Exposure to BI platforms e.g. Domo, Tableau, Looker, Power BI.
  • A curious, inquisitive mindset with a passion for learning and continuous improvement.
  • Strong communication and interpersonal skills to explain insights clearly to stakeholders.
  • A self-motivated, organised approach and the ability to meet deadlines in a dynamic environment.
  • An interest in digital publishing, eCommerce or online consumer behaviour.

Job Purpose

Reporting to the E-Commerce Analytics Manager , you will focus on supporting the eCommerce function across The Independent’s portfolio of brands.

As an eCommerce Analyst, you’ll play a key role in driving global eCommerce growth by delivering accurate, timely, and insightful analysis. Your work will involve tracking performance, building dashboards, and providing data-driven insights to support decisions that boost revenue and engagement across all eCommerce verticals.

You’ll collaborate closely with both the eCommerce and data teams, gaining hands-on experience and developing your analytical skills in a supportive, fast-paced, and innovative environment.

Key Responsibilities

  • Support the creation and delivery of regular performance reports for eCommerce content, products and partners.
  • Build and maintain dashboard in our BI tools to help teams self-serve and monitor KPIs.
  • Work with the E-Commerce Analytics Manager to investigate trends, identify growth opportunities and communicate findings to stakeholders.
  • Assist with onboarding new affiliate partners by ensuring tracking and reporting requirements are met.
  • Collaborate with editorial, audience and commercial stakeholders to help them understand what’s driving success and where improvements can be made.
  • Perform data quality checks to ensure accuracy and consistency in our reporting.
  • Assist in the preparation of presentations and reports to share insights with internal teams
  • Learn to write and run SQL queries to support data exploration and reporting.
  • Contribute to team knowledge-sharing and best practices in analytics and eCommerce.
  • Work collaboratively with key business stakeholders to develop initiatives that increase zero- and first-party data collection and enrichment.

Skills and Experience

  • A degree in a numerate, business or data-focused discipline, or equivalent.
  • Proficient using Excel / Google Sheets with relevant working experience.
  • Comfortable presenting insights and findings to both technical and non-technical audiences.
  • Excellent attention to detail and problem-solving skills.
  • Enthusiasm to learn new tools, technologies and commercial concepts.
  • Strong organisational and time management skills.
  • Strong interest in working with data, with a curious and questing nature.
  • Experience using a BI tool e.g. Domo, Tableau, Looker, Power BI.
  • Basic understanding of SQL and/or Python.
  • Understanding of SEO, affiliate marketing, eCommerce or digital publishing.
  • Exposure to digital analytics tools e.g. Google Analytics, Adobe Analytics, Chartbeat.
  • A keen interest in current affairs and trending topics.

Diversity, Equity and Inclusion

We champion diversity in our teams and in our reporting. As a growing and global brand, we must have a workforce that’s more representative of our readers, viewers, clients and partners, and a workplace that creates a sense of belonging for everyone.

We are committed to hiring and developing a diverse workforce regardless of background, and we support our people to thrive in their careers here.

The Independent is an equal opportunities employer, if you require any reasonable adjustments to complete your application, please do not hesitate to advise us accordingly.

Our values – you will deliver across all our values

Inclusive: We champion diversity in our teams and in our reporting. Working as a team, we put transparency and effective communication at the heart of everything we do.

Innovative: From the very beginning, The Independent has been breaking the mould. We take risks and are always looking to try new ideas in pursuit of excellence.

Independent: Nobody tells us what to think; we make up our own minds and aren’t afraid to do things differently. Like our readers, we value honesty and integrity above outside influences.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analyst, ECommerce

Data Analyst, ECommerce

Data Analyst, ECommerce

Data Analyst

Data Analyst

Ecommerce Data Analyst

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.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.