Data Analytics Specialist

Vodafone Group Plc; Lisboa; Híbrido; EUR 50 000 - 70 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Phone and data plan discounts

Resumo da oferta

Vodafone Group Plc is seeking an Analytics Specialist to develop cross-Cyber Defence analytics and insights. You will work across CTU, CSOC, CDIR and Security Testing to model data from multiple platforms and translate it into trusted analytics for incident response and risk management.

The role requires 3–5 years in data analytics or BI, a relevant bachelor’s degree, and proficiency with Power BI, Elastic, Dynatrace and SQL. A hybrid work model in Lisbon, Portugal is offered.

Qualificações

• 3–5 years in data analytics, BI or data science.
• Bachelor’s degree in Data Science, Computer Science, IT, Engineering or equivalent.
• Desirable certifications such as Power BI Data Analyst, Azure Data Fundamentals or related certifications.

Responsabilidades

• Define and own cross-Cyber Defence analytics use cases across threat, monitoring, incident response, vulnerability and exposure domains.
• Design and maintain end-to-end analytics pipelines from data sourcing to dashboards and executive outputs.
• Aggregate and normalize data from Elastic data lakes, Dynatrace, Power BI and cloud platforms for consistent insights.
• Create asset-centric views by correlating telemetry across infrastructure, apps, services, incidents and vulnerabilities.
• Produce long-term trend analysis and forecasting to identify emerging risks and opportunities for improvement.
• Build dashboards and analytical products translating complex datasets into actionable insights for technical and non-technical stakeholders.
• Collaborate with CTU, CSOC, Incident Management, STEM and other teams to align analytics with strategic questions.
• Apply time-series analysis, clustering and regression to extract meaningful patterns from large datasets.
• Ensure outputs are explainable, documented, and mapped to data lineage.

Conhecimentos

Data analytics

Business intelligence

Data science

Stakeholder engagement

Formação académica

Bachelor's degree in Data Science, Computer Science, IT, or Engineering

Ferramentas

Power BI

Elastic

Dynatrace

Splunk

SQL

Python

Descrição da oferta de emprego

Join Us

At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

Cyber Defence Operations (CDO) is Vodafone Group’s Cyber Defence Centre of Excellence, accountable for protecting Vodafone, its customers and its services against global cyber risk.

The Analytics Specialist is responsible for developing cross-Cyber Defence analytics and insight products that provide a holistic, asset-centric view of Vodafone’s security, operational and risk posture.

The role works across CTU, CSOC, CDIR and Security Testing & Exposure Management to aggregate, model and interpret data from multiple platforms, helping identify systemic patterns, control weaknesses, operational trends and emerging risks.

The role translates complex technical and operational data into trusted, reusable analytics that support incident response, threat-led defence, vulnerability prioritisation, exposure reduction, control improvement and leadership decision-making.

What you’ll do

• Define and own cross-Cyber Defence analytics use cases that provide trend-based and asset-centric insight across threat, monitoring, incident response, vulnerability and exposure management domains;


• Design and maintain end-to-end analytics pipelines, from data sourcing and modelling through to dashboards, insights and executive-ready outputs;


• Aggregate and normalise data from multiple platforms including Elastic data lakes, Dynatrace, Power BI, cloud platforms and cyber security tooling, ensuring consistency, quality and reusability;


• Develop asset-centric views that correlate telemetry across infrastructure, applications, services, incidents, vulnerabilities and security controls to support a joined-up understanding of risk and performance;


• Produce long-term trend analysis, behavioural baselining and forecasting to identify emerging risks, control degradation, systemic issues and opportunities for improvement;


• Build and maintain dashboards and analytical products that translate complex datasets into clear, actionable insight for technical and non-technical stakeholders;


• Work across CTU, CSOC, Incident Management, STEM, and wider Technology, Network and Platform teams to shape analytics requirements, define success measures and ensure outputs align to real operational and strategic questions.


• Apply analytical and statistical techniques such as time-series analysis, clustering and regression to extract meaning from large, high-volume datasets;


• Ensure analytics outputs are explainable, repeatable and trusted, with clear documentation, assumptions and data lineage;


• Contribute analytical insight to strategic planning, operational reviews, risk discussions, investment decisions and control improvement initiatives across Vodafone;


• Support the evolution of Cyber Defence analytics capabilities, including improved data models, shared metrics, and more effective use of security, operational and exposure data;


• Contribute to cyber reporting, dashboards and briefings, ensuring accurate, timely and data-driven insights are shared with the right stakeholders.

Who you are

• Demonstrable experience (typically 3–5 years) in data analytics, business intelligence, data science or a related analytical role;


• Bachelor’s degree in Data Science, Computer Science, Information Technology, Engineering or a related discipline, or equivalent practical experience;


• Working towards, or willingness to obtain, relevant certifications such as Power BI Data Analyst, Azure Data Fundamentals, or data analytics / data science certifications is desirable;


• Strong experience in data analytics, business intelligence or data science, ideally within a cyber, technology or risk environment;


• Strong analytical mindset with the ability to translate broad operational questions into scalable data models, metrics and visualisations;


• Experience working with enterprise analytics and observability platforms such as Power BI, Elastic, Dynatrace, Splunk or similar;


• Proven ability to work across large and complex datasets to identify trends, correlations, anomalies and emerging risks;


• Comfortable engaging with stakeholders across cyber security, technology and leadership to understand problems and frame useful analytical questions;


• Able to communicate insights clearly through visuals, storytelling and written narrative, tailored to different audiences;


• Advanced capability in Power BI, including data modelling, DAX, visualisation and dashboard design;


• Working knowledge of SQL and/or KQL for querying large-scale analytical datasets;


• Experience using Python or similar languages for data preparation, analysis and statistical modelling is desirable;


• Understanding of time-series analysis, trend analysis, statistical baselining and forecasting techniques;


• Familiarity with data pipelines, data quality management and schema harmonisation across multiple data sources;


• Practical understanding of cyber risk concepts across security monitoring, incident response, threat intelligence, vulnerability management and exposure management;


• Ability to balance analytical rigour with pragmatism, delivering outputs that are useful, trusted and timely;


• Experience integrating diverse data sources such as cloud platforms, endpoint telemetry, network/security tooling, threat intelligence feeds, vulnerability data and external exposure data;


• Strong communication and collaboration skills, with the ability to work effectively across teams and support both operational and leadership decision-making;


• Fluency in English.

What's in it for you

• Hybrid Work Model - Flexible hybrid work model with 8-10 in-office days per month, managed by team leaders;


• Vodafone Products and Services - Employees get a mobile phone, free communication plan, data card, and various discounts on services and products;


• Recognition - Recognition programs for innovative, creative, high-potential employees and exemplary behaviors;


• Health and Well-being - Well-being Program offers nutrition and psychological consultations, webinars, workshops, and discounts on various services and products;


• Learning - Access to Communities of Practice and a customizable digital training platform with high-quality content (namely Harvard Business Publishing, Skillsoft and Speexx);


• Local and International Mobility - Internal recruitment with local and international rotation opportunities across departments and roles.

Who we are

We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people’s lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.

Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.

If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.

Together we can.