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Data and Systems Manager

Job in Chester, Cheshire, CH1, England, UK
Listing for: Sisters and Seekers
Full Time position
Listed on 2026-11-02
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, IT Business Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 60000 - 90000 GBP Yearly GBP 60000.00 90000.00 YEAR
Job Description & How to Apply Below

You will be working for the high growth womenswear brand Sisters & Seekers within a creative and visionary team, all striving towards taking the brand to the next level. We are based near Chester but have a global reach with customers all over the world.

We are looking for an ambitious, driven and passionate individual who is looking to develop their career in a dynamic and expanding team at Seekers HQ. This position is a full-time role based in the office through Monday to Friday, with the opportunity to immerse yourself in the lively Sisters & Seekers team, experience staff and community events, and if you’re camera ready, to be a part of our viral Tik Tok videos!

Want to see more of what goes on behind the scenes?

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About

The Role

We’re looking for a Data and Systems Manager to build, develop and own the data infrastructure, reporting and systems that power Sisters & Seekers as we continue to grow.

This role is all about accuracy, automation, scalability and turning data into better business decisions.

You’ll champion data-led decision making, streamline manual processes through automation, and identify opportunities to use AI and technology to work smarter.

Key Responsibilities

Data and Reporting

  • Build a full data and reporting suite from scratch, covering trading, marketing, product, stock, operations, customer and finance.
  • Own one version of the truth: agree and document KPI definitions, data sources and calculation rules, and make sure every report uses them.
  • Lead the Power BI implementation, including design, build, rollout, access controls and user training.
  • Replace manual exports and spreadsheet reporting with automated, scheduled reporting.
  • Put data quality checks and reconciliations in place so reported numbers tie back to source systems and the ledger.

Data warehouse and Architecture

  • Design and build the business's data warehouse and the pipelines that feed it from Shopify, Peoplevox, Xero, Swap, paid media platforms and other sources.
  • Move data feeds from manual CSV uploads to API-based automation.
  • Set up data structures, naming and product, customer and channel hierarchies so they scale as the business adds channels and markets.
  • Ensure all business data is secure, including access controls, user permissions, system credentials and backups.
  • Own data governance, documentation, access rights and GDPR compliance for business data.

Systems Implementation

  • Lead all system implementations across the business, from requirements gathering and supplier selection through to build, testing, go-live and adoption.
  • Work with each department to understand their needs and make sure new systems meet them.
  • Make sure every new system integrates with the data warehouse and does not create a new data silo.
  • Maintain a systems map and roadmap, including contract renewal dates and costs.
  • Manage relationships with system suppliers and implementation partners.

Business Partnering

  • Business partner every department so they have the data they need, on time and accurate.
  • Translate business questions into reporting and analysis, and help teams use the outputs to make decisions.
  • Champion data-led decision making across the business, including training and self-serve reporting.

AI Development

  • Lead AI development in the business when required, identifying where AI can automate work or improve decisions.
  • Make sure AI tools use governed, accurate data and meet data protection requirements.

Team Development

  • Manage, develop and set objectives for the team.
  • Document all definitions, pipelines and processes.
  • Train the team, so knowledge is not held by one person.
Skills & Experience

Essential

  • At least 5 years in data, BI or business systems roles, including building a reporting function or data warehouse from the ground up.
  • Exp…
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