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, optimize 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 are

We 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.

But enough about us. Let’s hear about you.

Who you are

You’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 commitments to each other

We 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

We don’t judge

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.

Use Python for predictive modelling (e.g., churn prediction, customer segmentation, marketing mix modelling).

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 visualizations, 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 implementing data visualisation dashboards using BI tools, such as Metabase, Tableau, PowerBI, Looker.
Familiarity with marketing analytics platforms such as Google Analytics, Meta Ads, HubSpot, and Salesforce.
Knowledge of web analytics platforms, such as Amplitude, Mixpanel, PostHog
Understanding of A/B testing, attribution models, and digital marketing performance metrics.
Awareness of data governance principles and best practices for ensuring data quality.
Strong ability to communicate analytical findings clearly and effectively to both technical and non-technical stakeholders.
Proven experience managing multiple projects and priorities in a fast-paced environment.
Demonstrated capability to collaborate with stakeholders to transform reports and data into actionable business insights.

Competitive salary, and discretionary annual bonus.

Private healthcare.
Life Insurance, Critical Illness & Income Protection cover.
Active Lifestyle allowance.
Annual leave above minimum entitlement.
Up to 3 weeks allowance to work in any location.
Fresh fruit weekly

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