Marketing Data Analyst
So, who are we?
IG has been at the centre of retail trading and investment since 1974, when we helped create the market for financial spread betting. Today, we're a FTSE100 fintech operating across five continents, serving over 700,000 clients and handling billions in transactions - built on decades of scale, trust and proof. We didn't pivot to innovation; it's how we've always operated. What that means for the people who work here is real: genuinely complex problems to solve, the technology and resources to tackle them properly, and the kind of scope that’s rare in established businesses. The bar is high - bring a curious and forward-thinking mindset and we'll give you the platform to define what comes next. Join us at IG – the future is built here.
Your role in the Team’s Success
Analyse marketing data to drive insights, optimise campaigns, and improve marketing effectiveness across IG's marketing initiatives.
You will collaborate closely with product managers, engineers, and cross-functional teams to provide insights that can make significant commercial impact and be the go-to person for all things data and performance.
You’ll have the opportunity to be a part of an exciting growing community of analysts and like-minded individuals in IG that are united by a drive to innovate and shape what’s next.
What you’ll do
- Analyse marketing campaign performance across digital channels
- Provide insights on customer acquisition, LTV, attribution, engagement, and retention
- Support segmentation and targeting strategies with data analysis
- Collaborate with marketing teams to optimise campaign performance
- Build automated data pipelines and dashboards to minimise repetitive tasks and allow data self service
- Be the POC for all data related questions on Marketing and have full ownership of the domain area
How we work
We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office – which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction:
- Lead and Inspire: Drives trust, alignment, and enthusiasm
- Think Big: Focus on the problems that most impact commercial outcomes
- Champion the client: Understand and prioritise client's needs
- Deliver at pace: Push for fast, sustainable growth;
- Raise the bar: Take ownership, be accountable and share feedback
We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We’re committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that’s why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here.
The Perks
Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports and social clubs. Enjoy extra time off for volunteering and community work.
As well as having the chance to attend regular social events and join special-interest groups, you get an attractive selection of benefits working with IG:
- Matched giving for your fundraising activity
- Flexible working hours and work-from-home opportunities
- Performance-related bonuses
- Pension, insurance and medical plans
- Career-focused technical and leadership trainings in-class and online, incl. unlimited access to LinkedIn Learning platform
- A day off on your birthday
- Two days’ volunteering leave per year
What you’ll need for this role
- An extensive background in analytics
- Advanced SQL skills with experience in building and maintaining data pipelines (tools like DBT, Airflow)
- Experience with marketing analytics tools and platforms (GA, GTM, Braze, Appsflyer, Firebase etc)
- Experience running A/b tests and creating marketing metrics, KPIs, and attribution models
- Strong stakeholder management skills with ability to communicate effectively and using insights to influence decision making
- Experience working with Visualisation tools (Looker)
