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Graduate Apprenticeship | 1 Position available

Data Coordinator



Data Coordinator

Moment Apply Now
£20,000 per year ABERDEEN Full-time (37.5 Hours) Robert Gordon University 13/08/2021 SCQF Level 10 - Honours Degree
This employer is part of the Disability Confident scheme. This means if you identify yourself as disabled, and meet the minimum criteria for this job, you should be offered an interview.

Job overview

Is this your Moment?

We help sustainable companies grow better through our design-led, data-driven and delivery-focused Inbound Marketing services.

Whether that’s branding, content marketing, search engine marketing, social media marketing, email marketing, media planning and buying or marketing analytics (including automation and attribution), depends entirely on our clients’ needs.

Whichever channels we’re involved with, we start by mapping out a strategy, implementing measurement tools to ensure we are delivering a return on marketing investment and using all of the above to maximise the impact of our campaigns.

In doing so, we help businesses of all shapes and sizes to access the latest in marketing technology and techniques, empowering them to achieve their triple bottom line: people, planet and profit.

Sitting within Moment’s “Campaign” team, reporting to our Campaign Manager, your role is to support our various data-driven initiatives, including our client-facing reporting programme and the opportunity to collaborate with our Leadership Team and education partner RGU on the development of a brand new product in the field of marketing analytics, attribution and natural language processing.

Liaise with Campaign Team and Clients directly to understand their marketing.

Create compelling regular reports, telling the story of wins and opportunities.

Leverage data assets from a wide range of internal agency and external sources.

Maximise deployment of the agency’s existing and future data tools.

Collaborate on the development of a new cutting-edge AI attribution technology.

Demonstrate initiative, proactively recommending ways to improve our processes.

You’re aspiring to complete an undergraduate degree in data science and already have some grounding in digital presentation, research, and creativity.

You may have a little “hands-on” experience with key tools involved in the preparation, processing and presentation of data. An interest in the future of the Energy, Food & Drink and Technology sectors will be advantageous but not essential.

You should be familiar with modern workplace tools like email, task management and cloud storage.

You might even have experience in a customer-facing role and understand the importance of tailoring your approach to each individual client and their brand.

You’ll have excellent written and spoken English.

Most importantly you’ll be a team player who realises that the value of an agency is it’s combination of individual specialists who together, are greater than the sum of their parts.

Our Values:

We approach our work thinking of the potential, while learning from the past.

We are ambitious, fast-moving, progressive and we help others to be the same.

We adapt to clients’ needs, are flexible in our approach and versatile to change.

Maestros of our Art
We are subject matter experts, all working together towards the same goal.

What will I learn?

Students are employed in full-time work throughout their course of studies and combine course learning with work-based learning, modules are undertaken sequentially rather than in parallel.

Year 1

Introduction to the data analytics lifecycle including data preparation, exploration and visualisation; principles of statistical and mathematical techniques for data analysis and problem solving; fundamental programming principles; transferable professional skills.

Year 2

Application of data mining techniques; advanced programming including modelling, design, implementation and testing of systems; database design principles and developing a relational database; security threats against information systems; the understanding of ethical and legal issues related to the IT business environment.

Year 3

Design, implementation and evaluation of scalable program solutions using a big data computation framework; use of business intelligence tools to support decision making; development of data warehousing solutions; application of machine learning and artificial intelligence techniques to solve real-world problems; creative idea generation and entrepreneurial skills to start or grow a business through digital transformation.

Year 4

Undertake a substantial professional computing project in data science; principles and practices underlying the retrieval, extraction and mining of text data, including web data; architecting and developing cloud-based applications; keep abreast of the latest trends in techniques and applications of data science at the forefront of technology.

What qualification or qualities are required?

You’ll have a head start in this vacancy if you’ve completed a Foundation Apprenticeship in a related field. We’ll need you to provide evidence of your qualification and show you gained the relevant skills from your placement

Employment: All applicants must be employed full-time in a role related to the course of study, must have the right to live and work in Scotland and be working in Scotland.

The employer must commit to providing a suitable workplace environment and to offering guidance and mentoring support to the apprentice.

In addition, the company must be willing to partner with the university via a Collaboration Agreement to create a setting in which the student will be able to achieve the required experience and learning outcomes.

SQA Higher: BBBC

Alternative Qualifications:

We welcome applications from those with equivalent qualifications or work experience which equip them with an equivalent starting point for the course. For those applicants who do not meet our Standard Course Entry Requirements, applications may be considered from those who possess one years’ relevant work experience and where the applicant has demonstrated the development of key skills evidenced through a detailed CV.

Applications from students with non- standard qualifications (including Foundation Apprenticeships, Modern Apprenticeships, SVQs/NVQs and access programmes) or work experience will be considered on an individual basis.

Advanced Entry

Applicants who are interested in applying for advanced (or flexible) entry will be considered on an individual basis. Attention is drawn to the university's process for Recognition of Prior Learning (RPL).

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