Junior Data Analyst

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

The MLOps Junior Data Analyst utilises data insight and visualisation to enable data driven decision making, while contributing to the design, development, optimisation and ongoing management of Vodafone’s Automation and AI Use Cases. 

Data collection, preparation, conversion, and optimisation for AI and ML use cases, of new and existing data sources. Translating complex datasets into key strategic insight enabling powerful data driven capabilities, to the business. Assist in the End-to-end design, development and implementation of data pipelines to enable AI and Machine Learning, enhancements, and algorithms, and select appropriate KPIs to identify high-performance models. Support the delivery of software solutions as part of an Agile team. Support use case business requirements gathering and establish metrics to measure benefit and success criteria  Identify new analytics trends and opportunities to drive the innovation agenda across countries. Identify new data sources and evaluate emerging technologies for data discovery usage. Assists with investigations in case of incidents, establish root cause analysis to ensure/propose solutions to fix the identified issues.  Contributes to the evaluation of new technologies or applications to adopt them within the organization (POC – proof of concept).

Who you are

Core skills:

Proven experience with field specific data structures (lists, dictionaries, dataframes, series, etc). Proven SQL experience 1-2 years Datawarehouse and visualisation experience: Teradata, Tableau/PowerBI Strong creativity, problem-solving skills, and proven experience with data visualisation to enable data driven decision making. Proven experience with data visualisation, predictive analytics and forecasting using Python, including but not limited to, libraries: NumPy, Pandas, Matplotlib, Seaborn, Sci-Kit Learn

Nice to have technical qualifications:

Agile Practitioner, Scrum, Safe knowledge, or certification preferred. First-hand experience utilising Large Language Models and Natural Language Processing in Python. International experience desirable (working internationally and / or working with global solutions) Data Engineering and Data Analytics on Cloud platforms GCP and/or AWS and/or Azure