Job Description

Short Description The Business CVM Data Science and Insights team is a corner stone in Vodafone Business\'s data driven strategy. We perform data driven insight to really understand our customers, build machine learning models to automate marketing, find data to improve sales and create new business opportunities, and support the CVM teams in using a data driven approach when they talk to customers. This is a collaborative team where you\'ll be supported and developed through challenges and a broad set of skills, both technical and business impacting. You\'ll be working across teams and employing a mix of technical skills, data analysis and business sense. You\'ll be rewarded with an enthusiastic environment where you can really develop your skills and enjoy the challenge. In return, we want someone who puts curiosity at the heart of everything they do and is brilliant at communicating about data and the benefits it brings. About the role In this role you will act as a data partner in a key commercial team to help them make data driven decisions. You will work with your stakeholders to define and scope analytical projects that address the key questions and issues in that area. You will then perform complex analysis of large customer datasets, transforming that data into outputs that explain customer behaviour and providing actionable insights. This is a collaborative team where you\'ll be supported and developed through challenges and a broad set of skills, both technical and business impacting. You\'ll be working across teams and employing a mix of technical skills, data analysis and business sense. You\'ll be rewarded with an enthusiastic environment where you can really develop your skills and enjoy the challenge. In return, we want someone who puts curiosity at the heart of everything they do and is brilliant at communicating about data and the benefits it brings. As part of the role you\'ll be required to work with stakeholders to create hypotheses which you will then test and deliver solutions to real business problems present outputs to internal customers, clearly conveying complex information in a compelling manner The role is broad, requiring a logical and curious mind, and a business focus to find new opportunities. In exchange, there are many development opportunities both within the team and in the wider Vodafone business. We want you to support the Data Science and Insight team\'s overall vision of driving data decision making across the Business by articulating and promoting the value of analytical work across the business. Requirements We\'re looking for someone who has excellent technical skills who can communicate their ideas and concepts to a non-technical audience. You should be a natural problem solver who loves a challenge. You should also have the following skills and experience: Bachelor\'s Degree level (or equivalent) in numerate discipline including Mathematics, Statistics, Economics, Computer Science Engineering Excellent communication skills - able to convey complex concepts to non-analytical audiences in a succinct form Expertise in data manipulation: use of structured data tools (e.g., SQL & Python). Experience using Python and SQL are essential Advanced skills in data presentation e.g. using Python packages or Excel Understanding and hands-on experience in related use cases is desirable (e.g. churn reduction, personalisation, network optimisation, customer satisfaction, etc) Opportunities to develop The DS&I teams have over twenty analysts and data scientists - this provides the opportunity to learn and develop from a wide range of skill sets but other gives a clear career progression path. Vodafone will support your learning and development through formal training, peer-to-peer training and on-the-job experience. Core competencies, knowledge and experience Experience of data manipulations and ETL Experience telling a technical story in non-technical language Excellent problem-solving and analytical skills Project team experience for small to medium projects Must have technical / professional qualifications: Degree or equivalent in numerate discipline

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