MM-Eye - Data Analytics Trainee (Hybrid)

Graduate Data Analyst Trainee

The Graduate Data Analytics trainee is an exciting opportunity for individuals interested in maths and data, to work towards a formal qualification alongside full time employment. If you are unsure on the next step in your career, then please consider this role.

About MM-Eye Ltd

MM-Eye is not your typical market research agency. We are a proudly 100% Employee-Owned business driven by bold values, genuine purpose, and a mission to deliver Insights That Power Positive Change.

We see that businesses of every size and in every sector are under pressure to deliver social and environmental sustainability at the same time as commercial success. At MM-Eye, we embrace this challenge head-on. Through engaging stakeholders, revealing meaningful insights, and challenging the status quo, we enable our clients to make courageous, informed, and responsible decisions.

With a 15-year legacy behind us, we transitioned to full employee ownership in January 2023, placing us amongst a forward-thinking group of agencies that prioritise creativity, innovation, and meaningful client relationships.

Our tight-knit team thrives in a flexible, hybrid working environment, balancing collaboration between our London co-working space and home offices.

Values aren’t just words at MM-Eye, they’re actions. We proudly achieved B Corp certification in 2023, hold Fair Data accreditation, and actively champion the Net Zero and Inclusion pledges, ensuring our positive impact goes beyond promises and into practice.

What do Data Analysts do?

In this apprenticeship, you will deliver high-quality analytical outputs in data management, business intelligence, analytics, and data science - this means you will:

• Use a variety of programming languages, including R, Python and SQL, to clean, process, manage and integrate data from different sources, ensuring quality and analytical outputs to follow best practice guidelines
• Respond to incoming requests for information in a timely and efficient manner
• Use a variety of analytical and data science techniques to provide high-quality, timely analysis and intelligence relating to key priorities
• Support the work-stream with application of in-house developed techniques including AI-text analytics solutions, Auto charting, dashboards and process automation.
• Support Project Management Team in checking the quality of data outputs.

To apply you will need:

Essentials

• Strong Microsoft Office skills (including Excel and PowerPoint)
• Excellent numerical skill
• Excellent IT skills
• High level of curiosity in data and analysis
• Excellent team working skills and the ability to manage conflicting work schedules
• An analytical mind – enjoys problem solving and understanding new issues
• Good attention to detail – can demonstrate taking pride in work and ensuring it is of high quality
• A thorough and organised approach – able to manage a variety of tasks and issues, prioritising appropriately
• Good communication skills and written English
• Ability to work independently and to take responsibility
• Ability to pick up new systems/processes quickly
• Bachelor’s Degree ideally in a science subject 2:2 and above
• Minimum of 3 A Levels at grade C - including one in numerical subject e.g. Maths, Economics, Finance.
• 6 GCSEs at grade 7/B including Maths and English or equivalent qualifications.

Desirable

• Experience with statistical programming tools including R, Python, SPSS to name a few.
• Previous experience working with research or survey data.

To apply you will need to provide the following - if this information is not provided it will slow your application down and therefore you may miss out.

• CV including details of any work experience, and your education including dates, grades, and what you studied.
• Covering letter demonstrating your passion, why you are interested in this position, and how your skills and education/qualifications support your application

Applicants must be willing to progress their career after an initial probationary period to undertake a Level 4 Data qualification.

Technical skills

We'll assess your technical skills during the selection process.

Key Information

Salary & Benefits:

· Salary £24,000 per annum with regular reviews

· Full time - 35 hours a week (20% off the job training in relation to the apprenticeship)

· 27 paid days off (plus statutory bank holidays): 23 days annual leave, plus Birthday holiday and an additional 3 days over the Christmas period

· Eligibility for a tax-free Employee Ownership bonus after a minimum of 12 month’s service

· Hybrid Working inc access to our flexible co-working space in central London

· Fully subsidised travel to our central London co-working space

· Full Tech Set-Up

· Extensive on-job and external training inc monthly lunch and learns

· Comprehensive regular Performance evaluation

· 6-month probation period

The following to kick in the probation period:

· Participation in company run Pension scheme with 5% Employee contribution

· Private Healthcare insurance

· Death in Service insurance

Possible Start Date: End April 2025

Apprenticeship Level: Level 4 Data Analyst Apprenticeship

Location: A combination of working from home (with the support of the company in terms of hardware, software and other equipment) and attending shared office space in central London twice a week. You will be no more than 1 hour travel time from central London.

Positions Available: 1

Permitted to work full time in the UK

Important information:

· Cambridge Spark’s apprenticeships are funded by the Education & Skills Funding Agency (ESFA), an executive agency of the Department for Education. To be eligible for a Government funded apprenticeship, you must have lived in the UK or European Economic Area (EEA) for the last three consecutive years.

· MM-Eye’s Diversity and Equality Policy determines that we review all applicants on the basis of merit and ability, regardless of race, colour, age, disability, family responsibilities, gender, marital status, nationality, religious or political views or affiliations, sexual orientation or socio-economic background.

Note: This advert may close early if a suitable candidate is found before the advertised close date is reached.