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Ai, data & analytics manager

Kingston Upon Thames
Crew Clothing
Analytics manager
Posted: 9 September
Offer 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.
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