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AI, Data & Analytics Manager
Crew Clothing Head Office
AI, Data & Analytics Manager
Crew Clothing Head Office
Full Time
2
Years
Experience
Competitive salary
AI, Data & Analytics Manager
Crew Clothing Head Office
Full Time
2
Years
Experience
Competitive salary
Skills
Data and Analytics
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.
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.
AI, Data & Analytics Manager
Full Time
2
Years
Experience
Competitive salary
Skills
Data and Analytics
Crew Clothing Company, The Drapery, Kingston Hall Rd, Kingston upon Thames, KT1 2BQ, United Kingdom