twickets company
Job Description: Data Analyst
About Twickets:
Twickets is the UK's leading ticket marketplace. We work with music artists, comedians, festivals, venues, theatres and sporting organisations to bring fair ticket resale to their events, by capping prices at the original face value. Partners include Oasis, Foo Fighters, Kylie and Coldplay. In the past 12 months alone 8m unique visitors have used our platform, with revenue growing at over 30% year on year.
Job Summary:
We are looking for a Data Analyst to join our growing team and drive data-driven
decision-making for our online marketplace. This role involves analysing and interpreting key
user behaviours and trends on our platform. Identifying actionable insights to improve user
experience and satisfaction. Optimising site performance and user flow to increase
conversions, engagement and segmenting our audience for more personalised and effective
marketing campaigns. Develop dashboards and reports for ongoing monitoring and
decision-making as well as supporting partners.
The ideal candidate will have experience in creating and implementing data strategies,
reviewing current data set up to ensure data collection and propose solutions and build tools to
support data strategy.
Key Responsibilities:
Business Intelligence Dashboards
● Build and maintain user-friendly dashboards to visualise key metrics and trends
● Enable real-time tracking of KPIs such as ticket sales, average transaction value, repeat
user rate, buyer <-> seller conversions, marketing campaign performance etc
● Develop partner-friendly dashboards to visualise the success of the partnership
● Identify unusual activity patterns that may indicate fraudulent transactions or policy
violations.
Data Analysis
● User Behaviour analysis: Track and analyse user interactions on the marketplace,
including buyer and seller activity, cart abandonment, and checkout flow.
● Conversion Optimisation: Identify drop-off points in the user journey and provide
data-backed recommendations to improve conversion rates
● Traffic & Engagement Monitoring: Analyse website traffic sources (organic, paid, referral,
direct), monitor bounce rates, and assess the effectiveness of marketing campaigns.
Customer Segmentation
● Use data to segment users by behaviour, demographics, geography, and preferences.
● Customer Lifetime Value (LTV) Analysis: Segment users based on engagement,
spending habits, and retention to predict LTV and identify high-value customers.
● A/B Testing & Experimentation Design and analyze A/B tests to optimize homepage
layouts, product pages, search filters, and checkout processes.
Marketing Insights and Targeting
● Use insights to design data-driven marketing campaigns.
● Recommend strategies for email campaigns, retargeting etc
Data Quality & Tracking
● Ensure accurate implementation of tracking tools (Google Analytics, Google Tag
Manager, Cookie Bot) and troubleshoot any data inconsistencies.
● Manage and maintain incoming data feeds
Required Skills & Qualifications:
● Bachelor’s degree in Data Science, Business Analytics, or a related field.
● 2+ years of experience in web analytics, preferably within an e-commerce or online
marketplace environment.
● Strong proficiency in Google Analytics (GA4), or similar web tracking tools.
● Hands-on experience with SQL for data extraction and analysis.
● Familiarity with BI data visualisation tools (Tableau, Looker, or similar)
● Experience with A/B testing tools (Optimisely, VWO, or similar).
● Understanding of SEO, paid marketing analytics, and user acquisition strategies.
● Strong analytical and problem-solving skills with the ability to turn data into actionable
insights.
● Excellent communication skills to present findings to both technical and non-technical
stakeholders.
● Experience working with an online marketplace, e-commerce, or SaaS business.
● Familiarity with CRM and customer behavior tracking tools (Brevo,Hubspot, or similar).
● Basic knowledge of Python or R for data analysis.
● Understanding of UX principles and CRO (Conversion Rate Optimisation) best practices.
● Experience with BigQuery or other cloud-based data warehouses.
Job Type:
Full-time / Fully Remote
Salary:
£40,000
