Marketing Data Analyst
Listed on 2026-02-16
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IT/Tech
Data Analyst, Data Science Manager
Data Analyst (Marketing)
Join to apply for the Data Analyst (Marketing) role at Trade Nation
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As a Data Analyst, specialising in Marketing you will be responsible for collecting, analysing, and interpreting marketing data to support decision‑making across campaigns, channels, and customer segments. This role requires strong technical skills in Python and SQL to automate data pipelines, build analytical models, and generate actionable insights that drive growth, optimise ROI, and improve marketing performance.
While the role is primarily focused around marketing data, there will be scope for involvement in wider data projects around trading, client analytics, sales, compliance, risk.
Who we areWe are Trade Nation. We help our customers power up their trading through killer insights, transparent costs, and fairer ways to trade. We’re innovators, and proud of it. And we’ve grown a lot in our decade as a market‑leading low‑cost trading powerhouse. Our reach is global through our teams in the UK, Australia, South Africa, Seychelles and The Bahamas.
Founded on transparency, forged in trust and powered by people, we’re committed to empowering our customers to outperform the markets. How? By minimising expenses and harnessing technology to prioritise the lowest trading costs.
Who you areYou’re something special. You pride yourself on being unique and bringing your own history to the table – finding solutions to daily challenges in a way that can’t be done by anyone else. Maybe you talk a big game, maybe you don’t. The important thing is that you do what you say and follow through to see every customer thrive.
You don’t play with the bumpers up. That means breaking out of your lane when needed to help others – or forging your own completely. Every problem is our problem and that’s how you see it too. Because Trade Nation’s people have a shared vision, and you want to be part of making it a reality.
You know when to take the right sort of risks, the ones that push you to be better. You’re not afraid to try, fail, and then try harder. But don’t worry, you’ll have all the support you need to thrive with us at Trade Nation, and we can’t wait to enable you to learn and grow.
Ready to roll up your sleeves and get stuck in?
Our commitment s to each otherWe have each other’s backs
There when we need each other most
We challenge each other
Be more creative, more curious, more bold
We thrive together
Taking our work to the next level
We form strong bonds
Through team building and social events
Instead, we teach and are open to learning
We step up
Taking ownership and supporting each other to do the same
Key responsibilities- Develop automated dashboards and recurring reports to track campaign performance, customer acquisition, and retention metrics.
- Build and maintain marketing KPIs (e.g., CAC, LTV, conversion rates, ROI).
- Extract, clean, and transform large datasets from multiple marketing platforms (e.g., Google Ads, email, and web analytics tools).
- Analyse channel performance and attribution data to provide insights to wider Marketing Team.
- Assist with A/B tests and analyse their statistical significance.
- Identify trends, patterns, and opportunities in customer and campaign data to inform strategy.
- Design and maintain ETL pipelines using Python and SQL for marketing data.
- Integrate data from APIs, S3 Storage and Redshift Data Warehouse.
- Ensure data quality, accuracy, and consistency across all marketing sources.
- Apply statistical methods and machine learning techniques to improve campaign targeting and personalization.
- Partner with marketing, sales, product, and finance teams to align data insights with business objectives.
- Communicate findings clearly through visualisations, reports, and presentations.
- Bachelor’s degree in a STEM or Marketing‑related field or equivalent work experience required.
- 5 + years’ experience in Data Analytics, with strong expertise in both SQL and Python.
- Advanced proficiency in SQL, including writing complex queries, joins, aggregations, CTEs, and window functions.
- 2 + years of hands‑on experience with Python for data manipulation and analysis (pandas, numpy, matplotlib).
- Experience designing and…
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