Data Analyst Job in Greater London

Salt
Greater London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst – SSI Processing

Data Analyst Intern

Data Analyst

Senior Data Analyst

Entry Level Data Analyst

PIM Data Analyst

Data Analytics Manager

D2C | Software Development | App

£45,000 – £60,000

London | Hybrid

The Company:

This company has created a culinary community that transforms the everyday cooking experience into a vibrant and accessible adventure. With a focus on bringing people together through food, it offers a unique blend of creative recipes, budget-friendly meal ideas, and engaging content that inspires both novice and experienced cooks. The approach goes beyond traditional cooking shows, infusing each dish with a sense of fun, inclusivity, and practicality. This group turns the kitchen into a social hub where delicious meals are created and shared, making cooking a delightful part of everyday life.

As Data Analytics Manager you will:

Develop and optimise our data infrastructure to ensure scalable tools, architecture, and technical projects for analytics. Analyse customer data to deeply understand our audience and transform these insights into actionable outcomes that align with business objectives. Identify which content and product features drive user acquisition, monitising, and retention. Provide data to the Marketing team to clarify which marketing channels are most effective for acquiring, monetising, and retaining users. Translate complex analyses into understandable insights and conclusions. Manage and enhance existing dashboards and reporting systems, promoting data accessibility for stakeholders to improve data-driven decision-making. Collaborate with Product and Engineering teams to guide and shape product personalisation. Recommend updates to product and engineering roadmaps to enhance data quality in source systems and strengthen analytical workflows. Ensure data solutions are well-documented for consistent organisational use. Build strong relationships with stakeholders and become a trusted partner to promote a data-driven culture. Identify and validate opportunities to inform growth and product strategy, including new areas like B2B consumer insights.

Experience:

You have over 3 years of experience using analytics to address business questions and drive value toward business goals. Experience as a Data Analyst in a D2C business is preferred but not required. The ideal candidate has a proven track record of effectively solving business challenges and acting on dynamic insights promptly, with a curiosity for understanding and influencing consumer behiour on digital platforms. A creative thinker who excels at developing, presenting, and utilising data, with strong communication skills and the ability to present data in an effective, compelling, and concise manner that influences everyday business operations. Comfortable working cross-functionally, with an understanding of various functions and how they contribute to the business (, understanding the nuances of marketing and its interplay with product analytics). We are a fast-growing start-up, so you must be comfortable working in small, agile teams where everyone gets involved.

If you’re interested in theData Analytics Managerrole please apply below…

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.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.