AI, Data & Analytics Manager

Crew Clothing; Kingston upon Thames; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading retail brand in Kingston upon Thames is seeking an AI, Data & Analytics Lead. This role involves executing the data and analytics roadmap, overseeing integration and reporting platforms like Azure SQL and PowerBI. The ideal candidate has over five years of experience in a retail environment, with strong skills in data governance and reporting. In this role, you'll empower business teams through self-service BI tools and drive data-driven decision-making culture.

Qualifications

• At least five years integration, middleware and reporting experience in a retail environment.
• Demonstrable engineer-level knowledge of middleware, integration and reporting systems.
• Experience with data governance, security, and lifecycle management.

Responsibilities

• Develop and execute Crew's data and analytics roadmap.
• Lead engineer on data and reporting platforms.
• Produce and amend business reports & dashboards.

Skills

Integration experience

Middleware systems knowledge

Reporting experience

Customer-facing communication

Tools

Azure SQL

PowerBI

AWS Redshift

Job description

AI, Data & Analytics Lead

Full-Time
Kingston

Crew Clothing Company was founded in Salcombe in 1993. Today Crew is a great British brand, and our success lies in our authentic passion for producing great looking, well-made clothes. We now have more than 70 stores and a thriving website, and the business continues to grow.

Our people are at the heart of our company. With a passion for exceptional service, and a love for our product, our team is dedicated to offering the best customer experience - nothing is too much trouble.

Purpose of the role:

The AI, Data and Analytics lead will take a hands-on approach to the definition and implementation of Crew's data integration and reporting needs. Crew is a group of retail brands including Pringle, Salt Rock and Ben Sherman. We are in the process of consolidating ERP, EPOS, WMS, ecommerce (and other) platforms and, as such, there are a multitude of reporting suites, databases and middleware platforms. The data and analytics lead will spearhead the consolidation of data and reporting and dashboarding tools.

Responsibilities:

• Develop and execute Crew's data and analytics roadmap in alignment with business objectives.
• Be the technical SME and lead engineer on a multitude of data and reporting platforms, including but not limited to Azure SQL, SQL server, PowerBI, ZapBI, Azure Synapse, AWS Redshift and similar technologies.
• Develop database queries in a variety of platforms to extract, populate and analyse statistics - sometimes using very large datasets.
• Architect data platforms and work with partners to implement appropriate data integrations and data warehousing.
• Produce, amend and recommend business reports & dashboards etc relevant to a retailer and on demand.
• Own the relationship with middleware, integration, reporting and other relevant partners, ensuring high quality output and value for money.
• Work with the IT director and others on defining and implementing a company AI adoption roadmap.
• Transform and populate data between disparate systems, ensuring high quality and accuracy at all times.

Deliverables:

• A reliable, accurate and performant set of reporting and dashboards.
• Reliable middleware and data warehousing, monitored by exception.
• IT and business teams trained in supporting and using relevant reporting tools.
• Accurate and timely delivery of sales order (etc) data between front-end platforms such as Shopify and back-end systems such as 3PL WMS.
• Foster data-driven decision-making culture across the company.

Key Skills & Experience:

Essential skills:

• At least five years integration, middleware and reporting experience in a retail environment.
• Demonstrable engineer-level knowledge of at least some of the middleware, integration and reporting systems in use at the company.
• Experience developing and implementing data, data governance, security, privacy and lifecycle management initiatives and standards.
• Ability to oversee the development of dashboards, KPI tracking and self-service BI tools to empower business users.
• Customer-facing communication skills, able to translate business reporting need into development activities whether on in house or partner platforms.