(VF-JA) IT Operations Technician

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.

What you’ll do

Role Purpose

To transform data from data warehouse and big data platforms into accurate, actionable business insights through interactive dashboards, reports, and analytics that support informed decision-making.

Key Accountabilities and Decision Ownership

•Deliver effective dashboards and reports: Design, develop, automate, and improve BI dashboards and reporting solutions, selecting appropriate visualisation techniques and reporting methods.

•Maintain reliable KPIs and data: Define and maintain business KPIs, validate reporting data, resolve discrepancies with technical teams, and escalate critical data quality issues.

•Translate business needs into insights: Work with stakeholders to understand requirements, agree reporting priorities, and deliver timely management reports, ad hoc analysis, and executive-ready insights.

•Ensure governance and compliance:Maintain clear KPI definitions, dashboard specifications, and data lineage while ensuring compliance with data governance, security, and regulatory requirements.

•Improve analytics capabilities:** Collaborate with Data Engineering and IT teams to enhance integration and reporting automation, recommend improvements, and support users in adopting self-service analytics.

Who you are

• Core Competencies, Knowledge, and Experience
• •Proficiency in SQL for data extraction, manipulation, and query optimisation.
• •Hands-on experience with BI and visualisation tools such as Power BI or Tableau.
• •Strong Excel or Google Sheets skills, including pivot tables, formulas, and charts.
• •Familiarity with Python or R for data analysis.
• •Understanding of data warehousing and Extract, Transform, Load (ETL) processes.

Must-Have Technical/Professional Qualifications

•Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.

•A minimum of 3 years’ experience in Business Intelligence, Data Warehousing, or Data Analytics.

•Experience in the telecommunications industry.

Professional certifications in Power BI, Tableau

Not a perfect fit?

Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.

What's in it for you

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.