Marketing Data Analyst

Ironmongery Direct
Basildon
1 week ago
Applications closed

Related Jobs

View all jobs

Marketing Data Analyst

Marketing Data Analyst

Marketing Data Analyst

Data Marketing Analyst

Digital Marketing Data Analyst

Marketing Analyst

About Us

At 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 Role

We 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!

YmV0aC5qb25lcy43NTU3OC4xMjI3MUBpcm9ubW9uZ2VyeS5hcGxpdHJhay5jb20.gif

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.

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

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.