Senior Data Analyst

Blip.pt

. Build and maintain an accurate view of workforce composition, allocation, cost, and capability across Global Platforms .

Posted 9/17/2026full-timePorto • PortugalSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in workforce analytics, financial analysis, and operational planning, with a strong ability to connect data to commercial outcomes. Proficient in managing complex datasets and delivering actionable insights to leadership across Tech, Finance, and HR domains.

Highest-signal resume keywords

Workforce AnalyticsFinancial AnalysisSQL QueryingBI Tools (Looker, Tableau, Power BI)Statistical Programming (Python, R)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Workforce Planning ConceptsData Modelling TechniquesStatistical AnalysisETL Data PipelinesAdvanced Microsoft ExcelData VisualizationOperational PlanningFinancial TrackingAnalytical Project DeliveryData Quality Improvement

Soft Skills

Stakeholder ManagementPresentation SkillsProblem-SolvingCollaborationAttention to Detail

Tools & Technologies

LookerTableauPower BIEazyBIJiraGitHubAWS

Industry Keywords

Sports BettingGamingFinancial CapitalisationOperational EfficiencyWorkforce Evolution

Tech Stack

Tools & technologies

AWSCloudETLPythonSQLTableau

About the role

Key responsibilities & impact

Build and maintain an accurate view of workforce composition, allocation, cost, and capability across Global Platforms
Track organisational structure, role types, squad/platform allocation, location, cost centre, skills, and capability profiles
Provide insight into resource distribution against strategic priorities
Track time spent across capitalised delivery, operational activity, and training/development
Align reported effort, financial capitalisation, and delivery plans
Identify and resolve inconsistencies between engineering, finance, and planning views
Govern vacancy creation and conversion, new headcount approvals, and actual recruitment
Maintain an auditable view of workforce evolution and support workforce-planning scenario modelling
Partner with Finance to track workforce costs against budget and align headcount, allocation, and financial forecasts
Provide leadership with reconciled views of spend versus plan
Define and track operational ratios, including engineering/product/support, build/run, and seniority mix
Identify opportunities to improve operating-model efficiency and effectiveness
Own and evolve the People Data ecosystem, including pipelines across HR, Finance, and Engineering systems, dashboards, and reporting layers
Design scalable AI-enabled approaches to automate insight generation, improve data quality, and enable leadership self-service
Reduce manual reporting overhead and dependency risks
Act as a trusted partner to Global Platforms leadership
Translate complex data into clear narratives, actionable insights, and decision-ready outputs
Support strategic initiatives with workforce data and modelling

Requirements

What you’ll need

Deep experience in workforce analytics, financial analysis, or operational planning, 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, or a track record of excellence in subjects with a mathematical or statistical focus
Strong understanding of workforce planning concepts, financial/capex tracking, and engineering or delivery structures
Ability to connect data to commercial and operational outcomes
Strong stakeholder management across Tech, Finance, and HR
Excellent presentation and storytelling skills, adapting messaging for diverse audiences including senior stakeholders
Ability to work independently and provide personal resolution to projects
Proactive and collaborative approach with strong cross-functional relationship-building skills
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 such as Python or R
Strong experience with BI and visualization tools such as Looker, Tableau, Power BI, or EazyBI, including 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 such as AWS, machine learning concepts, and distributed database architecture is desirable
Advanced use of Microsoft Excel and PowerPoint

Benefits

Comp & perks

Amazing perks referenced via the employer's benefits page (specific benefits not provided in the posting)