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Analytics Engineer

Analytics

Analytics Engineer

Analytics

Księdza Józefa Tischnera 8, Kraków

IG Group

Full-time
Permanent
Senior
Hybrid

Tech stack

    Looker

    advanced

Job description

So, who are we?

Hello, we're IG Group. We are a publicly-traded FTSE250 FinTech company who run mobile, web and desktop platforms that 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 a global company with offices in 18 countries and products in 16 regions. We're hungry to move faster, ship better products for our customers, and grow our user base. We believe in high autonomy, and we want people who are looking to do things differently in order to create better experiences for our customers.


We work in cross-functional teams and are laser-focused on increasing the number of active clients we serve to drive sustainable growth.


Your team

You'll be joining our Business Intelligence team as we lead the "Smart Business" layer of IG's data transformation strategy. This means you'll be at the forefront of making data, insights, and actions usable across the entire business - from building self-service dashboards to supporting AI agents and co-pilots that deliver value directly to business users and clients.


Our BI team operates as the center of excellence for analytics across IG's four strategic themes: Business Intelligence, Operational Efficiency, Marketing/Client Acquisition, and Client Experience/Personalisation.


Your role in the Team's Success

You'll work in cross-functional squads that include data engineers, analytics engineers, data scientists, and business stakeholders, delivering measurable business value within focused sprint cycles.


As a member of the Analytics Engineering Chapter, you'll develop your skills alongside peers while rotating between different squads based on business priorities. One week you might be building executive dashboards for operational efficiency, the next you could be supporting marketing teams with customer segmentation analytics, or collaborating with product teams on personalization initiatives.


We're not just creating traditional reports - we're building the foundation for IG's data-driven future. You'll work with cutting-edge technologies like Looker, collaborate with AI/ML teams on intelligent automation, and help business users become more self-sufficient with data.


What you'll do

  • Design and develop scalable data models using dbt that empower business users across the organization with self-service analytics capabilities

  • Support development of AI agents, co-pilots, and automated insights

  • Lead the technical implementation of our Looker migration strategy, ensuring seamless transition of business-critical dashboards

  • Collaborate with stakeholders to understand business requirements and translate them into efficient data models

  • Maintain and improve data integrity through robust testing and documentation

  • Mentor team members on data modeling best practices and modern analytics engineering approaches

  • Partner with data engineering teams to optimize our data pipeline architecture


What you'll need for this role


Key Qualification Requirements:

  • Someone who can lead the design and implementation of our data models, ensuring they meet the highest standards of performance, maintainability, and usability for our business users

  • Someone who thinks beyond dashboards to AI-powered insights and automation

  • A data modeling expert who will drive our migration to Looker, ensuring our dashboards and analytics capabilities not only survive the transition but emerge stronger and more scalable

  • A collaborative team player who will work closely with stakeholders across HR, Product, Sales, and Marketing domains to understand their data needs and deliver solutions that enable self-service analytics

  • An advocate for data quality who will implement and maintain robust testing frameworks, documentation, and governance practices to ensure our data models remain reliable and trusted

  • A technical mentor who can help elevate the team's capabilities in modern data modeling practices and tools, particularly in dbt and Looker


How we work

We try to take a thoughtful approach to our ways of working as a company. We follow a hybrid working model with 3 days in the office -- which we think balances the need to collaborate effectively and connect with each other. When it comes to how we deliver, there are 5 things we want everyone to do to drive high performance, better learning and career satisfaction:


  • Lead and Inspire: Drives trust, alignment, and enthusiasm

  • Think Big: Focus on the problems that most impact commercial outcomes

  • Champion the client: Understand and prioritise client's needs

  • Deliver at pace: Push for fast, sustainable growth;

  • Raise the bar: Take ownership, be accountable and share feedback


We believe that diversity is vital to success, it fuels creativity, drives innovation and sets us up for global success. We're committed to building teams with a variety of perspectives and skills to help us realise our vision and strategy, that's why we encourage applications from people with diverse backgrounds and experiences to join us on this journey. Learn more about our D&I approach here.


The Perks

Your growth fuels our success! Thrive with tailored development programs, mentoring opportunities with leaders, and clear career progression. Expand your network through committees, sports, and social clubs. Enjoy extra time off for volunteering and community work.

  • Home office equipment reimbursement  

  • Performance-related bonus

  • Private medical cover for you and your family/partner (Medicover)

  • Multikafeteria system (you can choose a multisport card, vouchers, etc.) 

  • Life insurance (Generali) 

  • LinkedIn Learning platform free access

  • Share Plans for Employees

  • Employee-led LGBTQ+, Women’s, Black, and Parents & Carers networks with an annual budget for organizing events & projects that foster an open, diverse, and inclusive culture  

  • Career-focused technical and leadership training in-class and online, incl. unlimited access to LinkedIn Learning platform

  • Well-being events as well asthe Employee Assistance Programme

  • Summer picnic, New Year party and other social events  

  • 3 additional days off a year - 1 to celebrate your Birthday and 2 for voluntary work

  • App-based parking spot booking system

  • Stretching sessions

  • Well-being weeks

Learn more about the Perks here!


Join us for this exciting journey. Apply now!

Published: 24.09.2025
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Analytics Engineer

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Analytics Engineer

Księdza Józefa Tischnera 8, Kraków

IG Group

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