Opportunity information
Salary 22000 per year
Duration 16 months
Advert closing date 11/09/2025
Description
Apex Stainless Fasteners is the UK's leading wholesale supplier of stainless steel fasteners, with over 30 years of experience working with up to 2,000 customers across 4 UK locations.
It's an exciting time to join our forward-thinking sales team as we leverage advanced data analytics and technology solutions to revolutionize our customer relationships and sales processes. Here you will learn and grow by gaining a comprehensive understanding of modern B2B sales techniques while developing expertise in data management, analysis, and technical systems that drive revenue growth and operational efficiency.
As a Data Technician Sales Apprentice your duties will include but are not limited to:
Work in close collaboration with the Sales Manager, Key Account Managers, customer service teams, and IT department.
Participate in data management projects including CRM system optimization, sales database maintenance, and customer analytics implementation.
Collect, validate, and analyze customer data to identify sales opportunities and market trends using advanced data analysis techniques and software tools.
Conduct outbound sales activities including cold calling, email campaigns, and social selling, supported by data-driven insights and customer profiling.
Support existing customer relationships through data-assisted account management, ensuring customer satisfaction and identifying upselling opportunities based on purchasing pattern analysis.
Use data analysis tools and techniques to examine customer behavior, purchasing patterns, and market trends to inform sales strategies and product recommendations.
Create and maintain sales reports, dashboards, and data visualizations to support management decision-making and track performance metrics.
Assist in preparation of sales presentations, quotations, and proposals using data insights and technical analysis tools.
Maintain accurate customer records and sales pipeline data in CRM and database systems, ensuring data quality and implementing data governance procedures.
Support trade shows, exhibitions, and customer visits, utilizing data capture tools and post-event analytics for lead qualification and follow-up.
Collaborate with marketing and IT teams to provide customer feedback, market intelligence, and technical support for data-driven campaign development.
Develop and maintain technical documentation for data processes, system procedures, and sales analytics workflows.
Entry requirements
Minimum of 5 X GCSEs grades 9-4 (A-C) including English and Mathematics
Excellent communication, interpersonal, and presentation skills with strong analytical thinking abilities.
Natural ability to build rapport with customers and enjoy working in a target-driven environment.
Strong organizational skills with attention to detail and ability to manage multiple customer accounts and data sets.
Interest in technology, data analysis, and willingness to learn database management and analytical software platforms.
Demonstrable enthusiasm for sales, customer service, business development, and data-driven decision making.
Previous experience in customer-facing roles desirable, but not essential.
Desirable - Experience of using CRM systems, sales management platforms, database software, or data analysis tools (Excel, SQL, etc.).
Training to be provided
You will undertake the ground breaking Apprentify Data Technician Level 3 apprenticeship.
We have designed our programme to offer you a distinct route into your career path and specialise in sourcing, formatting, and presenting data securely in a relevant way for analysis using a variety of methods.
During the 13 months of training, you will learn cutting edge theory and industry practice across 10 carefully structured Modules covering the duties that are required as a Data Analyst:
Source data from a collection of already identified trusted sources in a secure manner
Collate and format data to facilitate processing and presentation for review and further advanced analysis by others
Present data for review and analysis by others, using required medium for example tables, charts and graphs
Blend data by combining data from various sources and formats to explore its relevance for the business needs
Analyse simple and complex structured and unstructured data to support business outcomes using basic statistical methods to analyse the data.
Validate results of analysis using various techniques, e.g cross checking, to identify faults in data results and to ensure data quality
Communicate results verbally, through reports and technical documentation and tailoring the message for the audience
Store, manage and share data securely in a compliant manner
Collaborate with people both internally and externally at all levels with a view to creating value from data
Practise continuous self learning to keep up to date with technological developments to enhance relevant skills and take responsibility for own professional development
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