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- Tasks: Analyse marketing data to drive growth and optimise performance across campaigns.
- Company: Join Trade Nation, a global leader in low-cost trading and innovative insights.
- Benefits: Enjoy competitive salary, bonuses, and flexible remote work options.
- Why this job: Make a real impact by transforming data into actionable insights for marketing success.
- Qualifications: Strong skills in Python and SQL, with experience in data analytics and visualisation.
- Other info: Collaborative culture with opportunities for personal and professional growth.
The predicted salary is between 30000 - 42000 Ā£ per year.
As a Data Analyst, specialising in Marketing you will be responsible for collecting, analysing, and interpreting marketing data to support decisionāmaking 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.
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.
Requirements
- Bachelor's degree in a STEM or Marketingārelated 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 handsāon 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 nonātechnical stakeholders.
- Proven experience managing multiple projects and priorities in a fastāpaced environment.
- Demonstrated capability to collaborate with stakeholders to transform reports and data into actionable business insights.
Competitive salary, and discretionary annual bonus. Life Insurance, Critical Illness & Income Protection cover. Annual leave above minimum entitlement. Up to 3 weeks allowance to work in any location.
Marketing Data Analyst in London employer: Trade Nation
Contact Detail:
Trade Nation Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Marketing Data Analyst in London
āØTip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
āØTip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
āØTip Number 3
Prepare for interviews by practising common questions related to marketing data analysis. Be ready to discuss your experience with A/B testing and how you've used data to drive marketing decisions.
āØTip Number 4
Donāt forget to apply through our website! Itās the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Trade Nation.
We think you need these skills to ace Marketing Data Analyst in London
Some tips for your application š«”
Show Off Your Skills: Make sure to highlight your technical skills in Python and SQL right from the get-go. We want to see how you can automate data pipelines and generate insights that drive growth, so donāt hold back!
Tailor Your Application: Customise your application to reflect how your experience aligns with our marketing data needs. Use examples that showcase your ability to analyse channel performance and work with marketing KPIs.
Be Clear and Concise: When communicating your findings, clarity is key! Use straightforward language and visuals to make your points easy to understand. We love a good presentation that gets straight to the point.
Apply Through Our Website: Donāt forget to apply through our website! Itās the best way for us to receive your application and ensures youāre considered for this exciting role. We canāt wait to hear from you!
How to prepare for a job interview at Trade Nation
āØKnow Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects, especially for automating data pipelines or building analytical models. This will show that you're not just familiar with the tools, but that you can apply them effectively.
āØShowcase Your Analytical Mindset
Prepare to talk about specific examples where you've identified trends or insights from marketing data. Think of a time when your analysis led to a significant decision or change in strategy. This will demonstrate your ability to turn data into actionable insights, which is crucial for the role.
āØUnderstand the Marketing Landscape
Familiarise yourself with key marketing metrics like CAC, LTV, and conversion rates. Be ready to discuss how these metrics impact business decisions. Showing that you understand the broader marketing context will help you connect your technical skills to the company's goals.
āØCommunicate Clearly
Practice explaining complex data findings in simple terms. You might be asked to present your insights during the interview, so think about how you would visualise your data and communicate it to both technical and non-technical stakeholders. Clear communication is key in this role!
