Staffworx | Marketing Technology Consultant

Staffworx
East London
2 months ago
Applications closed

Related Jobs

View all jobs

BI Developer

MarTech / Marketing Technology Consultant - contract, outside IR35NOTE: This is a mid-level consultant role, looking for someone with 4-5 years relevant experience, this is not a head / lead or programme mgt position, hands on MarTech advisory consultant role.Working for upcoming business technology consulting firm with Enterprise client in the Telco and Digital Commerce sectors. You will work with the client to bridge the gap between marketing and technology, supporting the client in assessing, implementing, and optimizing marketing technology solutions to enhance our clients' marketing strategies and operations. This role requires a deep understanding of marketing technology landscapes, strong analytical skills, and the ability to collaborate with cross-functional teams.About the Role - Required skills and experience: 4-5 years in Digital Marketing Technology: as a consultant, Technical BA or product owner. Deep understanding of MarTech landscape: Comprehensive knowledge of various marketing technology platforms like CRM, DAM, dynamic creative optimization (DCO), GenAI, Deep Learning, CDP, marketing automation tools, email marketing platforms, social media management tools, analytics platforms, Adobe Marketing Cloud, Blaze, Salesforce, Bloomreach etc. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data visualization tools to extract meaningful insights from marketing data. Marketing strategy expertise: Strong understanding of marketing principles, customer segmentation, and campaign planning. Technical proficiency: Familiarity with programming languages like SQL and basic understanding of APIs to facilitate data integration. Project management skills: Ability to analyse and contribute to complex MarTech projects from planning to implementationResponsibilitiesResearch and recommend appropriate MarTech tools and platforms aligned with client needs, considering factors like budget, integration capabilities, and features.Identify new opportunities to introduce & scale new capabilities within the marketing technology teamExperience of developing martech strategy and creating presentations for C-level audienceKnowledge of building complex business cases and calculating ROI for martech capabilitiesExperience of onboarding of new martech transformation initiatives into the businessDeepening of Martech specialisms and greater alignment and visibility across the group to drive additional value and economies of scaleFuture-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilitiesEmbedding best practice technologies and championing their adoption to further consolidate technology choicesMonitor and analyze the performance of marketing technology solutions to ensure they meet client expectations and industry best practices.Stay updated on emerging marketing technologies, trends, and best practices to provide innovative solutions to clients.Train and support clients' marketing teams in using marketing technology tools effectively.Prepare and deliver presentations, reports, and documentation to clients and internal stakeholders.Outside IR35 Contract, hybrid working, ideally 2 days week on site, West London (Chiswick/Brentford), market rates.

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.

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.