Data Analyst Apprentice – Cheshunt, Hertfordshire

Level 4 Data Analyst

Company: Trimming Shop 007 Ltd

Full Address: Unit 3 Station Approach, Windmill Lane, Cheshunt, EN8 9AQ

Weekly Hours Worked: Monday to Friday, 08:00 – 16:30

Salary: £18,000 – £20,000

Contact Information:
Please reach out via email at Raymond.Duke@estio.co.uk or call 0203 8342 872

About the Company:

Trimming Shop is a family-run business that was founded back in 1985. We are one of the UK’s biggest importers, retailers and wholesalers of event décor, haberdashery, sewing supplies and arts and crafts products.

Job Description:

Estio Training is thrilled to offer a new opportunity for a L4 Data Analyst Apprentice at Trimming Shop 007 Ltd in Cheshunt.

Role Summary:

We are looking for a passionate Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions.

As a Data Analyst your responsibility will include but not limited to collect, organise and study data to provide business insight. You will be involved with managing, cleansing, abstracting and aggregating data, and conducting a range of analytical studies on that data.

As a member of our team, you will be an active partner that contributes to the success of our day-to-day management of the products, performance, and online merchandising. A perfect candidate for our team will need to be detail-oriented, with marketing skills, extremely proficient in Microsoft Excel and basic knowledge of Ecommerce marketplace.

Key Responsibilities:

As a Data Analyst Apprentice you will:

• Interpret data, analyse results using statistical techniques and provide ongoing reports.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Document and report the results of data analysis activities making recommendations to improve business.
• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Identify, analyse, and interpret trends or patterns in complex data sets.
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.

Qualifications:

• Educational Requirements: 5 GCSEs grades A*-C/9-4 or equivalent, including English Language and Maths.

Skills Required:

• An ability to research subjects using your own initiative and implement/measure.
• Data Visualisation and Statistics.
• Data Analysis (Preferred coding experience using with Python or similar, but not essential).
• SQL and Data Modelling (Preferred).
• Data Architectures.
• Data Analysis Tools and Concepts Assessment.

Personal Qualities:

• Excellent communication skills.
• Strong math and analytical skills.
• A problem-solving and critical thinking mindset.
• Attention to detail.
• Adaptability and curiosity.

Future Prospects:

By demonstrating leadership capabilities, you can progress into management positions, overseeing analytics teams or leading data strategy.

initiatives. With the increasing importance of data in shaping business landscapes, this role positions you at the forefront of innovation and ensures.

long-term career growth in the rapidly evolving field of data analytics.

For more information, or to apply, please contact us at Hello@estio.co.uk or call [Leeds – 0113 3500 333 / London – 0203 8342 872]
We look forward to hearing from you!

Estio apprenticeship training programmes are delivered virtually by our fully qualified and industry experienced training team. Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace.

Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience.

Successful completion of this apprenticeship gives you an accredited Level 4 Data Analyst, with training in how to:

• Ascertain how data can be used to answer questions and solve problems.
• Gather, inspect, cleanse, transform and model data to identify patterns and trends.
• Present data and produce dashboards and reports to aid visualization and comparison.
• Use advanced theory and diverse techniques to harness greater understanding.
• Inform decision-making and make recommendations using an evidence-based approach.
• Ensure your business processes and procedures are compliant with data protection legislation.

For a full list of programme modules visit: estio.co.uk/courses/data-analyst