Overview
Join to apply for the Manager- Data Analytics role at Crew Clothing Company.
Crew Clothing Company was founded in Salcombe in 1993. Today Crew is a great British brand, with more than 70 stores and a thriving website. Our people are at the heart of our company, dedicated to offering the best customer experience.
Purpose Of The Role
The AI, Data and Analytics Lead will take a hands-on approach to defining and implementing Crew’s data integration and reporting needs. We are consolidating ERP, EPOS, WMS, ecommerce and other platforms, with multiple reporting suites, databases and middleware. The data and analytics lead will spearhead the consolidation of data, reporting and dashboarding tools, and define an AI adoption roadmap in collaboration with the IT Director.
Responsibilities
* Develop and execute Crew’s data and analytics roadmap in alignment with business objectives.
* Serve as the technical SME and lead engineer on data and reporting platforms (e.g., Azure SQL, SQL Server, Power BI, ZapBI, Azure Synapse, AWS Redshift).
* Develop database queries across platforms to extract, populate and analyze statistics, including large datasets.
* Architect data platforms and work with partners to implement data integrations and data warehousing.
* Produce, amend and recommend business reports and dashboards relevant to a retailer and on demand.
* Own relationships with middleware, integration, reporting and other partners to ensure high quality output and value for money.
* Collaborate with the IT Director to define and implement the company AI adoption roadmap.
* Transform and populate data between disparate systems, ensuring high quality and accuracy.
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 data between front-end platforms (Shopify) and back-end systems (3PL WMS).
* Foster data-driven decision-making culture across the company.
Essential Skills
* At least five years of integration, middleware and reporting experience in a retail environment.
* Engineer-level knowledge of middleware, integration and reporting systems used by the company.
* Experience developing and implementing 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.
* Strong customer-facing communication skills; able to translate business reporting needs into development activities—whether in-house or on partner platforms.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Information Technology
* Industries: Retail
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