Junior Data Administrator Apprentice (Stobbs (IP) Limited)

Summary

Stobbs is a leading intellectual property (IP) law firm specialising in trademarks, brands, and intangible asset management. We are seeking a detail-oriented Junior Data Administrator to join our team, responsible for maintaining our case management system (CMS), resolving data-related inquiries, and ensuring high standards of data.

Wage

£22,932 a year

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Training course

Data analyst (level 4)

Hours

Monday to Friday. Shifts to be confirmed.

35 hours a week

Start date

Monday 1 September 2025

Duration

2 years

Positions available

1

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

In this role, the Junior Data Administrator will play a vital role in maintaining the integrity of our case management system (CMS) and ensuring the highest standards of data quality for trademark-related records. The successful candidate will manage the data-related help desk, responding promptly and efficiently to internal inquiries to support seamless operations. A key responsibility will be maintaining and updating the CMS, ensuring all records are accurate and meet rigorous quality standards. This involves conducting audits by analysing and comparing data against multiple online resources to keep records current and reliable. Collaboration is central to this position. The Junior Data Administrator will work closely with internal teams to resolve data-related issues, fostering effective communication and problem-solving. The role also includes contributing to the development and enhancement of training materials for the CMS and delivering training sessions to new team members, equipping them with the skills to use the system effectively. Additionally, the administrator will develop a deeper understanding of trademark record management and its associated workflows, gaining valuable expertise in this specialised field. We are seeking an individual with a keen eye for detail and a strong commitment to data accuracy and quality control. Proficiency in Microsoft Excel, including the use of formulas, pivot tables, data cleaning, and analysis, is essential. The ideal candidate will bring a proactive attitude, eager to learn new tools, techniques, and the fundamentals of trademark record management. Strong organisational and time management skills are critical for managing multiple tasks effectively, while excellent written and verbal communication skills will ensure smooth collaboration with colleagues. While not required, experience with case management systems or databases, familiarity with data tools like Power Query or programming languages such as Python, and an interest in brands and intellectual property are highly desirable. These qualities will enhance the candidate’s ability to excel in this role and contribute to Stobbs’ innovative approach to IP management.

Responsibilities can include:

Manage the data-related help desk, responding to internal inquiries in a timely and efficient manner
Maintain and update our CMS, ensuring high standards of data quality and accuracy
Collaborate with internal teams to address and resolve data-related issues
Contribute to the creation and improvement of training materials for the CMS
Provide training to new starters on the effective use of the CMS
Develop a deeper understanding of the record management of trademarks and their associated workflows

Where you'll work

BUILDING 1000
CAMBRIDGE RESEARCH PARK
CAMBRIDGE
CB25 9PD

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

College or training organisation

BPP PROFESSIONAL EDUCATION LIMITED

Your training course

Data analyst (level 4)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents

Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome
Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
implement the stages of the data analysis lifecycle
apply principles of data classification within data analysis activity
analyse data sets taking account of different data structures and database designs
assess the impact on user experience and domain context on data analysis activity
identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
undertake customer requirements analysis and implement findings in data analytics planning and outputs
identify data sources and the risks and challenges to combination within data analysis activity
apply organizational architecture requirements to data analysis activities
apply statistical methodologies to data analysis tasks
apply predictive analytics in the collation and use of data
collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
select and apply the most appropriate data tools to achieve the optimum outcome

Your training plan

Stobbs is a niche intellectual property (IP) law firm specializing in trademarks, brands, and intangible asset management. Stobbs aims to be a global leader in brand advisory services. It offers expertise in trademark law, registered designs, litigation, brand intelligence, and domain name management, blending IP knowledge with business acumen to protect and enhance brand value.

Requirements

Let the company know about other relevant qualifications and industry experience you have. They can adjust the apprenticeship to reflect what you already know.

Skills

Communication skills
Attention to detail
Organisation skills
Team working
Proficiency in Microsoft Excel
A proactive attitude
Willingness to learn
Time management skills

Other requirements

• Wellbeing – PMI, wellbeing days, Specsavers vouchers, EAP, Yoga, Boot camp, acupressure massages quarterly, food & drink available throughout the week • 60 onsite parking spaces, free shuttle bus to the park. • Electric car scheme with Octopus and a cycle scheme. • Company discretional bonus scheme • Annual pay reviews (both individual and company performance based) • Charities Trust salary sacrifice scheme – this is an opt in option • Cycle to Work scheme • Electric Vehicle salary sacrifice scheme with Octopus EV • Refer a friend scheme • Octopus Money- free financial coaching benefit • Hybrid working - optional 9-day fortnight working pattern • Paid parenthood leave- 14 weeks full pay followed by 12 weeks half pay.

About this company

Stobbs is a niche intellectual property (IP) law firm specializing in trademarks, brands, and intangible asset management. Stobbs aims to be a global leader in brand advisory services. It offers expertise in trademark law, registered designs, litigation, brand intelligence, and domain name management, blending IP knowledge with business acumen to protect and enhance brand value.

After this apprenticeship

The opportunity may offer a permanent role upon completion of the apprenticeship depending on vacancies available.

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