Marketing Data Analyst

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.

Trade Nation is a global CFD and spread betting broker. We help traders make better decisions through clear market insights, transparent pricing and fairer approach to trading.

Since 2014, we’ve grown into a market-leading, low-cost broker with our headquarters in London and offices across Europe, South Africa, Asia-Pacific, and key offshore regions including the Caribbean and Indian Ocean. Our platform is available in 14 languages, making it accessible to traders worldwide.

Built on transparency and trust, and driven by our people, our focus is simple: helping customers trade more effectively. We do that by keeping costs low, cutting unnecessary complexity and using technology to put traders first.

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

• Developing automated dashboards and recurring reports to track campaign performance, customer acquisition, and retention metrics. 

• Building and maintaining marketing KPIs (e.g., CAC, LTV, conversion rates, ROI). 

• Extracting, clean, and transform large datasets from multiple marketing platforms (e.g., Google Ads, email, and web analytics tools). 

• Analysing channel performance and attribution data to provide insights to wider Marketing Team. 

• Assisting with A/B tests and analysing their statistical significance. 

• Identifying trends, patterns, and opportunities in customer and campaign data to inform strategy. 

• Designing and maintaining ETL pipelines using Python and SQL for marketing data. 

• Integrating data from APIs, S3 Storage and Redshift Data Warehouse. 

• Ensuring data quality, accuracy, and consistency across all marketing sources. 

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

• Applying statistical methods and machine learning techniques to improve campaign targeting and personalisation. 

• Partnering with marketing, sales, product, and finance teams to align data insights with business objectives. 

• Communicating 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 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