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Level 4 Data Analyst

Company: Masonite

Full Address: Birthwaite Business Park, Huddersfield Road, Barnsley S75 5JS

Weekly Hours Worked: 09:00 – 17:00

Salary: £20,000 – £24,000

Please contact Nabila on [email protected] or call 0203 834 2872

About the company:

Masonite is a wholesale building materials company based in Barnsley. Masonite is also a global base company with locations within the USA.

Brief job description:

Estio Training have an exciting new opportunity for a Level 4 Data Analyst Apprentice with Masonite, a Wholesale Building Materials company based in Barnsley.

Job Description:

Work alongside the Process Improvement Lead to support the Barnsley Plant Manager, the Group Operations Director and the Project Integrate Subject Matter Expert (SME) and ensure the business requirements for the site are integrated into Dynamics365.

Your duties and responsibilities in this role will consist of:

• Identify, collect, and migrate data to/from a range of internal and external systems, manipulate and link different data sets as required.
• Perform database queries across multiple tables to extract data for analysis.
• Assist the Operations team with performance dashboards and reports.
• Support the Operations team by monitoring master data, key data and master relationship data. Ensures data integrity at all times.
• Assist with data quality checking and cleansing.
• To be a pro-active member of the Operations team.
• Collect and compile data from different sources and provide easy to use reports for the operations team.
• Troubleshoot and resolve ERP system issues.
• Offer improvement ideas to aid plant efficiencies, which include plant throughputs and waste reduction initiatives.
• Provide support to the site team with the ERP implementation project with testing, migration, documentation, and hyper care of Dynamics 365.

Qualifications:

• 5 GCSEs grades A*-C/9-4 or equivalent (including English Language and Maths)

Skills Required:

• GCSE Maths & English at Grade 5 or above (as a minimum).
• Expected to achieve/study an appropriate qualification e.g. Level 4 Data Analyst.
• Excellent written, communication, planning and organisational skills.
• Keen eye for detail, data accuracy and analysis.
• Strong interest in programming/coding.
• A broad knowledge of Excel (desirable but not essential).

Personal qualities:

• Motivated and driven individual with confidence to work as part of a team and problem solve.

Other information:

• Target Zero – Think safety first before starting any task, Regard safety as your personal responsibility.
• Integrity Under Pressure – Do the right thing and make the right choices when no one is looking.
• People are Key – Be kind, supportive and respectful; Take every opportunity to learn from those around us.
• Hold the Door Open – Be willing to participate as a team; Provide supportive and constructive feedback; Be positive and pro-active.
• Flexibility in Every Fibre – Be flexible and adaptable in the way we work; Embrace change and the benefits it brings.
• Results Hinge on Accountability – Do what you say you will do; Be reliable and deliver what is required of you.
• On the Threshold of What’s Next – Commit to delivering quality for our customers; Think of ways we can improve.

Future prospects:

The role offers a permanent role upon completion of the apprenticeship depending on performance.

Training to be provided:

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.