Data Analyst - Product

TN United Kingdom; London; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

An innovative company is seeking a Data Analyst to join their dynamic team in London. In this role, you will leverage your analytical expertise to drive insights into product usage and user behavior, shaping impactful product strategies and feature developments. Collaborating closely with cross-functional teams, you will set metrics and goals that foster accountability and continuous learning. This position offers a unique opportunity to influence business outcomes and contribute to a culture of experimentation and growth. If you are passionate about data and eager to make a significant impact, this role is perfect for you.

Qualifications

• 2+ years of experience using analytics to drive business decisions.
• Strong SQL and data visualization skills are essential.
• Ability to communicate complex analysis to senior management.

Responsibilities

• Drive ideation and design of new feature releases through user behavior analysis.
• Ensure proper data tracking to understand product usage.
• Support product experiments and growth through data-driven decision-making.

Skills

Data Analysis

SQL

Data Visualization

A/B Testing

Communication Skills

Python

Presentation Skills

Education

Bachelor's Degree in a relevant field

Tools

Tableau

AWS Athena

Power BI

R

Job description

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Data Analyst London Hybrid 40 in office £Salary Benefits

Introducing Data Analytics at Trainline

Data Analytics is central to how we build products, delight our customers, and grow our business. Our Data Analysts are embedded across cross-functional teams within product and marketing. They work closely with Product Managers, Software Engineers, and Commercial teams, and partner directly with Embedded Data Scientists and wider data functions. They have a high degree of autonomy and are empowered to drive the success of their teams by enabling the build-measure-learn cycle.

As a Data Analyst, you will be involved in driving insights into product usage and user behaviors to enable impactful product strategy and feature development. You will create focus and accountability in teams by setting metrics and goals, ensuring continuous learning through experimentation, and feeding insights back into future decision-making. This role requires a strong obsession with driving impact within product teams, utilizing a broad range of analytical and statistical techniques to maximize benefits.

Data Analytics at Trainline exists within the wider data organization as part of the tech org, complemented by Data Science, Machine Learning, Data Engineering, Business Intelligence, and Data Product Management. This growing and dynamic team has a significant impact on business outcomes and offers opportunities for growth and development for ambitious Data Analysts.

Responsibilities of a Data Analyst at Trainline

• Drive ideation and design of new feature releases through deep dives into user behavior.
• Influence roadmap prioritization through opportunity sizing.
• Ensure proper data tracking to understand product usage.
• Support product experiment launches and growth through data-driven decision-making, analyzing experiment results.
• Define team goals to create incentives and accountability, working towards ambitious objectives.

Qualifications

We'd love to hear from you if you have:

• At least 2 years of proven experience using analytics to drive business decisions.
• Ability to clearly communicate complex analysis results to all levels, including senior management.
• Experience in evaluating product engagement and measuring success, e.g., A/B testing or using front-end data to assess feature effectiveness.
• Ability to navigate complex and ambiguous datasets to derive clear insights and actionable results.
• Strong PowerPoint and presentation skills.
• Strong data visualization skills using tools like Tableau, Spotfire, Power BI, etc.
• Strong SQL skills.
• Experience with Python, including predictive modeling, regression techniques, clustering, random forests, etc. (desirable).

Tech Stack

SQL, Python, R, Tableau, AWS Athena, and more.

The Interview Process

1. Recruiter screen – 30 mins
2. Meet the manager – 30 mins
3. Loop stage: 3 x 30 mins interviews focusing on product, technical, and stakeholder experience
4. Case study review – 60 mins