Hybrid Analytics Engineer — Data Architecture & Strategy

N Brown Group; Manchester; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A dynamic retail company in Manchester is seeking an Analytics Engineer to lead the strategy and implementation of their data architecture. The role emphasizes ensuring data is readily available to the data science team and promoting a data-driven culture within the organization. Ideal candidates will have extensive experience in analytics engineering, proficiency in SQL and Python, and strong stakeholder management skills. You will have the chance to impact business decisions and create innovative solutions using modern data stack tools, all within a flexible working environment.

Benefits

24 days holiday (+ 8 bank holidays)

Annual bonus scheme

Enhanced maternity and adoption leave

Company pension with up to 8% contribution

Mental Health support

Colleague discount across all brands

Onsite café with subsidized rates

Life Assurance and Private Medical Insurance

Paid volunteer time

Qualifications

• Extensive experience in analytics engineering or data engineering within digital or retail environments.
• Proven ability to design and maintain scalable, reliable data models.
• Skilled at translating complex business requirements into technical solutions.

Responsibilities

• Lead strategy and implementation of data architecture for the Decision Intelligence team.
• Ensure data is available and usable for data science teams.
• Define and execute the analytics engineering strategy and promote a data-driven culture.

Skills

Experience in analytics engineering

Proficiency in SQL

Proficiency in Python

Stakeholder management

Data governance knowledge

Tools

Docker

AWS Athena

BigQuery

Job description

A dynamic retail company in Manchester is seeking an Analytics Engineer to lead the strategy and implementation of their data architecture. The role emphasizes ensuring data is readily available to the data science team and promoting a data-driven culture within the organization. Ideal candidates will have extensive experience in analytics engineering, proficiency in SQL and Python, and strong stakeholder management skills. You will have the chance to impact business decisions and create innovative solutions using modern data stack tools, all within a flexible working environment.