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- Tasks: Analyse product data to enhance user experience and drive strategic decisions.
- Company: Join IG Group, a leading FTSE250 FinTech company with a global presence.
- Benefits: Enjoy flexible hours, remote work options, performance bonuses, and extra time off for volunteering.
- Why this job: Be part of a dynamic team focused on innovation and customer-centric solutions in trading.
- Qualifications: 5+ years in analytical roles, strong SQL skills, and experience with A/B testing and data visualisation.
- Other info: Hybrid work model with 3 days in the office; diverse and inclusive culture.
The predicted salary is between 43200 - 72000 £ per year.
Social network you want to login/join with: Senior Product Data Analyst Job Description So, who are we? Hello, we\’re IG Group. We are a publicly-traded FTSE250 FinTech company that runs mobile, web, and desktop platforms to help our clients trade stocks & shares, leveraged products, Futures & Options, and Crypto. We are ambitious. Over 340,000 people already use our platforms. We\’re global with offices in 18 countries and products in 16 regions. We\’re eager to move faster, ship better products for our customers, and grow our user base. We believe in high autonomy and seek people who want to innovate to create better customer experiences. We work in cross-functional teams focused on increasing active clients to drive sustainable growth. Your role in the Team\’s Success You will analyze product data to guide strategic decisions, improve product performance, and enhance user experience from acquisition to First Trade. Collaboration with product managers, engineers, and teams is key to providing impactful insights and becoming the go-to data expert. How you\’ll make an impact: Lead conversion analytics across our trading platform—define metrics, deliver insights, and optimize user journeys to improve conversion rates. Shape the conversion optimization roadmap through data-driven recommendations, identifying friction points and high-impact improvements. Partner with Data Analytics Engineers and Software Engineers to collect and model relevant conversion data throughout the customer lifecycle. Promote a data-driven culture by sharing insights and building stakeholder relationships. Design experiments and analysis frameworks to quantify the ROI of conversion initiatives. Lead by example in applying analytics best practices from data collection to analysis. What you\’ll need for this role 5+ years experience in highly analytical and data-driven roles, especially on the product side. Solid experience with A/B testing, conversion measurement frameworks, and quantitative validation methods. Strong communicator capable of translating complex technical concepts and influencing decisions. Analytical problem-solver transforming ambiguous challenges into structured, data-informed solutions. Proficiency in SQL for analyzing user behaviors and conversion funnels. Statistical knowledge (hypothesis testing, regression) for measuring improvements. Experience with visualization tools (Tableau, Power BI, Looker) for effective data storytelling. Experience with digital analytics platforms (Google Analytics, Adobe Analytics). Skills in Python or R for advanced analysis and modeling. Understanding of user research to complement quantitative insights. Curious, collaborative team player able to prioritize in a fast-paced environment. Nice to have: Familiarity with customer segmentation, predictive modeling, and machine learning techniques. Experience supporting data-driven product roadmaps and experimentation programs. Keen interest in trading and investing. Basic knowledge of HTML, CSS, JS. How we work We adopt a thoughtful approach, following a hybrid work model with 3 days in the office to balance collaboration and connection. Our core principles include: Lead and Inspire: Build trust, alignment, and enthusiasm. Think Big: Focus on impactful problems. Champion the client: Prioritize customer needs. Deliver at pace: Drive fast, sustainable growth. Raise the bar: Own your work, be accountable, and share feedback. We value diversity, believing it fuels creativity and innovation. We encourage applications from diverse backgrounds to help us achieve our vision. Learn more about our D&I approach here. The Perks Your growth fuels our success! Enjoy tailored development programs, mentorship, and clear career paths. Expand your network through committees, sports, and social clubs. Benefit from extra time off for volunteering and community work. Our benefits include: Matched giving for fundraising activities Flexible hours and remote work options Performance bonuses Pension, insurance, and medical plans Technical and leadership training, including unlimited LinkedIn Learning access A day off on your birthday Two days\’ volunteering leave per year Join us on this exciting journey. Apply now! Number of openings 1 Job ID R_14587 #J-18808-Ljbffr
Senior Product Data Analyst employer: IG Group Holdings plc
Contact Detail:
IG Group Holdings plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as SQL, A/B testing frameworks, and data visualisation tools like Tableau or Power BI. Being able to discuss your experience with these tools in detail during interviews will demonstrate your readiness for the role.
✨Tip Number 2
Showcase your analytical problem-solving skills by preparing examples of how you've transformed ambiguous challenges into structured, data-informed solutions. This will help you illustrate your capability to handle the responsibilities of the Senior Product Data Analyst position.
✨Tip Number 3
Network with current or former employees of IG Group on platforms like LinkedIn. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during your interview process.
✨Tip Number 4
Prepare to discuss your understanding of user research and how it complements quantitative insights. This is crucial for the role, as it involves enhancing user experience and guiding strategic decisions based on data.
We think you need these skills to ace Senior Product Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, A/B testing, and product management. Use keywords from the job description to demonstrate that you meet the specific requirements of the Senior Product Data Analyst role.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your skills align with IG Group's goals. Mention your experience with SQL, data visualisation tools, and any familiarity with trading to show your fit for the position.
Showcase Your Analytical Skills: Provide examples of past projects where you've successfully used data to drive decisions or improve product performance. Highlight your experience with conversion analytics and any frameworks you've developed to measure success.
Prepare for Technical Questions: Be ready to discuss your technical skills in SQL, Python, or R during the interview process. Prepare to explain your approach to data analysis and how you've applied statistical methods in previous roles.
How to prepare for a job interview at IG Group Holdings plc
✨Showcase Your Analytical Skills
As a Senior Product Data Analyst, your analytical prowess is key. Be prepared to discuss specific examples of how you've used data to drive decisions and improve product performance. Highlight your experience with A/B testing and conversion measurement frameworks.
✨Communicate Complex Ideas Simply
Strong communication skills are essential for this role. Practice explaining complex technical concepts in a straightforward manner. Use examples from your past experiences to demonstrate how you’ve influenced decisions through effective communication.
✨Demonstrate Collaboration Experience
Collaboration is crucial in this position. Be ready to share instances where you've worked closely with product managers, engineers, or cross-functional teams. Emphasise your ability to build relationships and promote a data-driven culture.
✨Prepare for Technical Questions
Expect technical questions related to SQL, statistical methods, and data visualisation tools. Brush up on your knowledge of hypothesis testing and regression analysis. Being able to discuss your proficiency in tools like Tableau or Power BI will set you apart.
