Uma candidatura completa num minuto — currículo personalizado e carta de apresentação, prontos a enviar.
Blip is seeking a Senior Data Analyst to build and maintain a workforce visibility platform for Global Platforms, tracking headcount, allocation, costs and capabilities to enable strategic decision‑making.
You will own the people data ecosystem—from pipelines and dashboards to AI‑enabled insights—while partnering with Tech, Finance and HR to drive workforce planning, capacity tracking, and operating model efficiency.
Senior Data Analyst The Senior Data Analyst will build and maintain a comprehensive workforce visibility platform for Global Platforms, tracking headcount, allocation, costs, and capabilities to enable strategic decision‑making. Working at the intersection of Technology, Finance, and HR, they will own the people data ecosystem—from pipelines and dashboards to AI‑enabled insights—while acting as a trusted partner to leadership in workforce planning, capacity tracking, and operating model efficiency.
Blip is a leading tech company focused on software engineering solutions for sports entertainment. We operate at scale. As part of Flutter Entertainment, we play an essential role in the Group's goal of becoming the global leader in online sports betting and iGaming, developing innovative products and platforms for over 14million monthly customers worldwide. We are serious about Tech. We are problem‑solvers with big ambitions, keeping a people‑first mindset at the core of our work. We prioritize flexibility as we strive to deliver the best technological products and tackle the greatest industry challenges. Recognizing that everyone brings their own strengths, backgrounds and new perspectives, we empower you to be yourself. That uniqueness shapes the culture of belonging we are so proud of.
The role Global Platforms operates at significant scale (~600 people), requiring a live, accurate, view of workforce composition, allocation, cost, and capability. This role is responsible for building and maintaining that view — enabling leadership to understand who we have, where they are deployed, how their time is spent, and how this aligns to investment, delivery and efficiency outcomes. The role sits at the intersection of Technology, Finance, and HR, combining data engineering, analytics, and business insight. It will also be central to the evolution of AI‑enabled tooling, dashboards, and processes to continuously improve visibility, forecasting and decision‑making.
Deep experience in workforce analytics, financial analysis, or operational planning, going beyond pure data reporting, with a track record of delivering complex analytical projects that shape business direction.
Strong commercial and business knowledge, ideally within sports betting, gaming, or a related sector.
Proven ability to work across Tech, Finance, and HR domains.
Experience managing large‑scale, multi‑source, sometimes incomplete or ambiguous datasets.
Degree (or equivalent) in a relevant technical field such as Mathematics, Computer Science, Statistics, or Engineering/ a track record of excellence in subjects with a mathematical or statistical focus.
Strong understanding of workforce planning concepts; financial/capex tracking; engineering or delivery structures.
Ability to connect data to commercial and operational outcomes.
Strong stakeholder management (Tech + Finance + HR).
Excellent presentation and storytelling skills, with the ability to adapt messaging for diverse audiences including senior stakeholders, delivering output that is clear and succinct despite the subject being complex.
Proven ability to work independently and provide a personal resolution to projects, while also supporting the Delivery & Continuous Improvement and wider Global Platforms team.
Proactive and collaborative, with strong cross‑functional relationship‑building skills and the ability to drive alignment on priorities.
Curious and questioning approach with a high level of attention to detail.
Willingness to learn and continuously improve.
Strong problem‑solving skills.
Experience using SQL to query large relational databases.
Knowledge of statistical programming software and techniques (e.g., Python, R).
Strong experience with BI and visualisation tools such as Looker, Tableau, Power BI, or EazyBI — including building scalable, well‑governed dashboards.
Experience with ETL data pipelines and statistical/data modelling techniques.
Understanding of Jira / GitHub data ecosystems.
Working knowledge of cloud computing (e.g., AWS), machine learning concepts, and distributed database architecture is desirable.
Advanced use of Microsoft Excel and PowerPoint.
Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs but most importantly, it's our people. Our employees are self‑disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.
Equal opportunities At Blip, we are committed to creating a diverse and inclusive workplace. We strongly encourage people from all backgrounds, ways of thinking, and working to apply. We are committed to including everyone regardless of their race, disability, age, gender identity, sexual orientation, and religion. Everyone brings different perspectives and experiences; you don’t have to meet all the requirements listed to apply for this role.
If you need any adjustments to apply for the position and to ensure this role aligns with your needs, please send an email to accommodations@blip.pt. We will only respond to inquiries related to disabilities.