Internship - Customer Data Analyst (12 Months)

Job Title Internship - Customer Data Analyst (12 Months)

Advert Sage is a global company with a local heart. The market leader for cloud-based accounting, financials, enterprise management, people, and payroll software, we empower the world’s business heroes—from single-person startups to large enterprises. Our people are passionate and positive. We inspire our colleagues to serve business builders everywhere and champion their success. As a FTSE 100 company with 14,000 colleagues across 24 countries, we do business the right way, while giving back to our local communities through the Sage Foundation. Sage is passionate about building a culture where our colleagues feel they can bring their whole selves to work. Where people know they’ll be judged on their performance and behaviours - not their identity. All qualified applicants will receive consideration for employment and will not be discriminated against based on their race, color, age, religion, sexual orientation, gender identity, national origin, disability or veteran status.

Job Description Do you have a passion for analytics and have a desire to learn new skills? Are you currently studying a Mathematical related subject at University? Do you want to gain experience applying statistical approaches to real business problems? Then we have the perfect opportunity for a 12-month placement student as a Global Customer Data Analyst.

This role is an exciting opportunity positioned within the Data Management & Segmentation team at Sage, located at our Newcastle office. You will work alongside Sage professionals, gaining experience not only analytically but also commercially. As part of this role, you will work with our teams across numerous countries that Sage operates within such as USA, Canada, France, Spain, Germany, South Africa and Australia.

Your role will play an important part in applying advanced data segmentation techniques to support global business objectives. We will require a highly technical candidate that will be comfortable with statistical methods and other predictive techniques. We’re looking for a student with a keen eye for detail, with added emphasis on ensuring accuracy, validation and consistency when working with data and applying Sage’s business definitions.

You will be expected to combine data from a variety of sources including 1st party systems (i.e. CRM), telemetry and 3rd party sources. You will learn and develop an understanding of the value of different datasets for segmentation and how to tailor communication of advanced analytical analysis within a global organisation to achieve the maximum business effect. A core area of focus will be on Customer Success – the acquisition of new customers and the retention and growth of existing customers to help support and drive Sage’s business growth.

Key Responsibilities • Communicating complex analysis clearly and simply and presenting in a way that tells a story from business problem to recommendations.
• Proactively working with customers, challenging their understanding of the business problem and any preconception they may have, relating this back to the analytics process ensuring all parties are clear on the way forward from the outset.
• Learning and applying a project management approach to the analytics process, arranging meetings, documenting actions, assigning owners and deadlines accordingly to drive delivery.
• Organising and analysing data from multiple sources and different levels relating to customers, product registrations, financials and 3rd party information.
• Working as a central analyst professional across and within teams and countries, promoting best practice to all levels of the organisation as required, supporting Marketing’s and Sage’s goals
• Developing propensity & machine learning models and using other advanced analytics using technologies like SAS, R & Python to develop algorithms that enable more targeted data segmentation with better funnel performance.
• Operationalising any developed models to ensure appropriate statistical performance is met and models are adopted within each country.
• Working with IT functions to provide innovative solutions for integrating advanced analytics with existing IT infrastructure.
• Assessing and evaluating the most effective, efficient and timely segmentation tactic to apply to meet the customer’s requirements, ensuring they understand the options and implications of decisions made.
• Setting test and control experiments in project design as part of a robust plan to measure performance ensuring the business understands what works and any incremental gains from a change in approach.

Desirable:
• Excellent academic background in data mining and statistical analysis, ideally with experience working with ‘Big Data’
• Ability to demonstrate proficiency in an analytical tool such as SQL, R, Python, SAS or Alteryx
• Experience developing predictive models within a studied module or project
• Exceptional IT skills with advanced ability with Microsoft Office (especially Microsoft Excel & PowerPoint)

Key Behaviours:
• Ability to work collaboratively and on your own on projects
• A team player with excellent communication skills for verbal, written and presentations
• Can quickly build relationships and collaborate by working remotely online as well as face-to-face
• Ability to recommend improvements based on stakeholder requirements, and drive them through to execution
• Attention to detail with strong planning and analytical skills
• Strong organisation skills and the ability to problem solve
• Ability to manage own time and workloads in a fast-paced environment

To be eligible for this role you should currently be studying a Bachelor’s or Master’s degree in one of the following subject areas: Mathematics, Statistics, Computer Science, Physics, Engineering or another related discipline, AND be eligible to undertake a 12 month placement as part of your degree. Unfortunately, only candidates who are currently studying and who plan to return to University in 2021 will be considered for this placement role.

Our Recruitment process:

• Apply online with CV (if shortlisted, you will receive a link to complete a video interview within 1 week of applying online).
• Complete video interview
• Attend Assessment Centre (Held January - April 2020)

The start date for this 12 month placement is August 2020.

Function Marketing

Country United Kingdom

Office Location Newcastle

Location Region