Senior Data Analyst – Gambling & Google Cloud Platform (GCP) at Keyrus Portugal

Lisbon, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, iGaming, SQL, Python, GCP, BigQuery, Dataflow, Cloud Composer, Looker Studio, Tableau, Power BI, Data Governance, GDPR, Churn Analysis, Player Segmentation, Mentoring

Industry

Description

Empowered by our motto, "Making Data Matter", Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation. With a presence in 27 countries across 4 continents, we're on a mission to elevate the impact of data. We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery. With more than 3200 employees in all corners of the world, Keyrus is dedicated to helping businesses take advantage of the Data and Digital paradigm to enhance their performance, facilitating and accelerating their transformation, and generating new drivers of growth, competitiveness, and sustainability. Job Summary Keyrus is looking for a Senior Data Analyst with GCP expertise and experience in the gambling/iGaming sector. In this client-facing role, you will lead analytical initiatives, build scalable data models on BigQuery, and translate player behaviour and revenue data into strategic insights. Note: All applications/CV’s must be submitted in English. Key Responsibilities Lead end-to-end analytical use cases around GGR, NGR, ARPU, churn, LTV, and player segmentation. Design and optimise SQL models, ETL workflows, and data pipelines using BigQuery, Dataflow, and Cloud Composer. Collaborate with Data Engineering, Marketing, and Product teams to ensure insight readiness and data integrity. Present executive-level dashboards and recommendations to stakeholders. Ensure adherence to GDPR, data governance, and responsible gambling guidelines. Mentor junior analysts and promote consulting best practices. Requirements for the role 5+ years in Data Analytics 2+ years in iGaming/sports betting, with understanding of industry KPIs & regulations. Strong skills in SQL, Python, and GCP data tools (BigQuery, Pub/Sub, Cloud Storage). Experience with Looker Studio, Tableau, or Power BI for creating and delivering dashboards. Ability to communicate insights clearly to both technical and business stakeholders. Fluent in English Must be a Portuguese or European citizen or have a work permit for Portugal What we offer at Keyrus Portugal: Competitive salary based on your skills & experience and according to the Data market practice Meal allowance of €8.32 per day Flexible benefits option Private Medical Insurance 22 days of annual leave (increasing every 3 years up to a maximum of 25 days) Training Program through KLX (Keyrus Learning Experience) Platform Why Keyrus? Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience. Keyrus Portugal operates on five guiding pillars that shape our approach to work and collaboration – Diversity; Trust; Flexibility; Ownership & Innovation - we're dedicated to cultivating a team as diverse as the challenges we take on. We embrace and celebrate the rich variety of backgrounds, perspectives, and talents that each individual brings. We firmly believe that diversity fuels innovation, ignites creativity, and propels us towards greatness. Regardless of race, ethnicity, gender, sexual orientation, disability, age, or any other dimension of diversity, everyone is not only welcome but valued here. Join us in shaping a future where everyone can thrive!

Responsibilities

Lead analytical initiatives and build scalable data models on BigQuery. Collaborate with various teams to ensure data integrity and present insights to stakeholders.