Marketing Data Analyst

Ironmongery Direct
Basildon
3 days ago
Create job alert

About UsAt IronmongeryDirect, we've been a trusted name in architectural ironmongery for over 50 years. What started as a traditional ironmongery shop has since grown into the UK's leading direct supplier, delivering thousands of parcels each week. With a vast range of over 18,000 high-quality products available for next-day delivery, we're the reliable choice for tradespeople who value efficiency, expert advice, and top-tier service.Our Marketing Team is a vibrant, fast-paced group that loves to challenge the status quo while supporting each other every step of the way. If you're someone who enjoys diving into data, uncovering insights, and influencing strategy-all while being part of a fun, friendly, and sociable work environment-this is the role for you!About the RoleWe are seeking an experienced Data Analyst to support the Marketing Team by leveraging data to execute campaigns, generate insights, and drive marketing strategies. This role is perfect for a detail-oriented problem-solver who can work independently while keeping a finger on the pulse of our marketing campaigns.We offer a hybrid working model, with two days in the office and three from home, giving you the flexibility to work in a way that suits you. Most importantly, you'll be part of a dynamic and collaborative culture where your impact truly matters.Key Responsibilities:Data Analysis & Insights: Collect, analyse, and interpret large volumes of customer data using SQL, Excel/Power Query, and PowerBI to gain actionable insights.Performance Tracking: Evaluate marketing activities across multiple channels, analysing metrics such as ROI, conversion rates, AOV, and LTV.Data Interpretation: Identify trends and make recommendations to optimize marketing campaigns and identify more profitable channels.Customer Journey Analysis: Monitor customer touchpoints and measure the effectiveness of communications.Dashboard & Report Creation: Build PowerBI dashboards, Excel reports, and PowerPoint presentations with charts and graphs for data visualization and stakeholder communication.Data Management: Manage customer data files for marketing campaigns using models like RFM (Recency, Frequency, Monetary value).Marketing Reports Ownership: Develop, automate, and maintain essential business and marketing reports while handling ad-hoc analytic requests.Financial Modelling: Collaborate with Finance and Data teams to support business reporting and ensure data consistency. Key Skills & Experience:Proficient in marketing research and statistical analysis. Strong analytical skills with a high degree of business acumen.Advanced Excel, Power Query, and Google Sheets proficiency.SQL expertise: Ability to create stored procedures, understand/amend complex SQL scripts, and manipulate datasets.Experience with marketing analytics tools such as Google Analytics (GA).Knowledge of programming languages such as PowerBI (DAX formulas), Python, or VBA.Excellent organizational, communication, and presentation skills.Ability to manage multiple projects with attention to detail and accuracy. What We Offer:25 days annual leave plus public bank holidays.Hybrid working arrangements.40 hours of training & development investment per employee annually.Private healthcare (subsidised) for employees and their families.Health & Wellbeing support via Health Shield, including claim-back medical costs, EAP services, GP Anytime, and the Thrive wellbeing app.Discretional annual company performance bonus.Bi-monthly WOW awards for outstanding contributions.Staff discounts on our extensive product range.Long service awards.Two paid volunteer days per year.£500 refer-a-friend incentive scheme. If you're a data-driven professional looking to make an impact in a dynamic marketing environment, apply today to join our team

Related Jobs

View all jobs

Marketing Data Analyst

Marketing Data Analyst

Marketing Data Analyst

Marketing Data Analyst

Data Marketing Analyst

Marketing Analyst

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.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.