Supports product data management, system setup, reporting, and operational processes in a fast-paced retail environment. The role maintains product exclusions, coordinates issues in Asana, supports promotions, develops SQL and Databricks datasets, contributes to Power BI reporting, and manages SSRS reports. It also documents processes, communicates operational changes, liaises with stakeholders, and identifies process improvements while developing expertise in internal systems.
Please note, this is a Fixed Term Contract until January 2028
The Data & Operations Assistant partners closely with the Business & Data Analysts to ensure the effective management of product data, reporting and system processes within a fast-paced retail environment. This role will help to shape smarter processes and solve cross-functional challenges that drive efficiency and business success.
The role includes using Microsoft SQL Server, Microsoft PowerBI, Databricks and Microsoft SQL Server Reporting Services to extract insights, support cross-functional communication, and grow into a subject matter expert in our internal systems.
Role Responsibilities
Product Data & System Management
- Support the end-to-end setup of new brand systems set up as part of a fast-moving, high-impact project.
- Manage the product exclusion summary within the Next Product System (NPS), conducting weekly checks of item exclusions on the GB website.
- Oversee requests and issues from wider functions within Asana, ensuring a timely resolution and clear ownership of issues.
- Supporting Business and Data Analysts with price promotions for multiple partners, ensuring accurate setup and timely execution.
- Act as a subject matter expert for relevant systems, ensuring best practices are followed and providing guidance to product teams.
- Manage system structure maintenance across departments.
Data Management & Reporting
- Support the development of SQL and Databricks datasets and reports for internal team processes and wider business analysis.
- Contribute to reporting and operational tasks using Power BI.
- Build, maintain, and manage Microsoft SQL Server Reporting Services reports.
Process Improvement & Documentation
- Maintain and update the Reporting & Operations dates and deadlines in Asana to provide visibility of key milestones.
- Communicate key dates, process updates, and operational changes clearly across the business.
- Liaise with stakeholders within NEXT, providing business context and informed decision-making to optimise system support and enhancements.
- Proactively seeking process improvements with the support of the Business & Data Analysts.
Technical Requirements
- Proactive, forward-thinking approach with the confidence to challenge existing processes constructively.
- Strong analytical and problem-solving capabilities to understand functionality and identify improvements.
- Excellent time management and prioritisation skills.
- Strong interpersonal skills with the ability to build effective working relationships.
- Clear and professional written and verbal communication skills.
- Comfortable working in a fast-paced, high-pressure environment.
Desirable Skills
- Familiarity with Microsoft SQL Server and basic SQL querying.
- Exposure to Power BI or other data visualisation/reporting tools.
- Experience with SQL Server Reporting Services (SSRS) is beneficial.
- Comfortable using Microsoft Excel and Google Workspace.
Founded in 2008, Lipsy started as one brand with a big dream. Today, we’ve grown into three dynamic London-based fashion brands, each with their own distinct style and story.
Our Lipsy customer is a leading lady; a woman who never says no to a touch of glamour - and why would she, when the world is her catwalk. Love & Roses is for the woman who isn’t afraid to push boundaries, she’ll set her own trend, with unique styles, playful prints and fabulous fabrics at her core. Friends Like These is for the go-getter - she’s strong, feminine and always on the move, so we offer her a gorgeous wardrobe line-up she can bank on every time.
But it’s not just about fashion - we’re just as passionate about our people. With a supportive and collaborative culture at our core, we’re proud of the work we do and the team behind it. It’s an exciting time to be part of our journey as we continue to evolve and create something truly special together.
About the Team- 25% off most NEXT, MADE*, Lipsy*, Gap* and Victoria's Secret* products (*when purchased through NEXT)
- 10% off most partner brands & up to 15% off Branded Beauty
- Hot deals and exclusive offers from over 3,500 retailers through our online benefits platform
- Company performance based bonus
- Early VIP access to sale stock via Direct to Desk
- Life assurance
- Sharesave scheme
- Annual Travel Card Loan
- Sample Sales
- Fantastic L&D opportunities
- Flexi-Hour Scheme
- Direct to Work - Discount online and instore, collect your items the next day for free from your place of work or local store
- Support Networks - Access to Network Groups to empower and celebrate each other
- Wellhub - Discounted flexible monthly gym memberships, with apps, PT sessions and more
Conditions apply to all benefits. These benefits are discretionary and subject to change.
We aim to support all candidates during the application process and are happy to provide workplace adjustments when necessary. Should you need support with your application due to a disability or long-term condition, feel free to get in touch with us by email [email protected] (please include 'Workplace Adjustments' in the subject line), or call us on 0207 436 2000 and leave a voicemail.
Similar Jobs
Fintech • Payments • Financial Services
Build and operate scalable ML platform infrastructure supporting batch and real-time model workloads. Responsibilities include model deployment, serving, lifecycle automation, monitoring, observability, incident response, documentation, and collaboration with data scientists and engineering teams. The role also contributes to platform architecture, data products, reliability, technical standards, and data warehouse initiatives.
Top Skills:
AlertingAmazon SagemakerAPIsCi/CdData WarehousesDockerExperiment TrackingFeature StoresGitKubernetesLoggingMetricsMl Metadata ManagementModel RegistriesModel ServingObservabilityPythonTerraform
Fintech • Payments • Financial Services
Design and maintain scalable data platform infrastructure, ingestion pipelines, ETL/ELT workflows, data models, governance, reliability, and observability. Collaborate with analytics and engineering teams, support data warehouse architecture, participate in on-call incident response, document operational processes, and establish strong engineering practices for analytics and future AI capabilities.
Top Skills:
AirbyteAirflowApache IcebergCi/CdDbtDltDockerFlinkGitJavaKafkaKafka ConnectKubernetesPythonSnowflakeSQLTerraform
Gaming • Information Technology • Mobile • Software
Designs visual assets for employee communications and social media across presentations, documents, digital signage, web, and video. Develops branded templates, reusable tools, visual guidance, and collateral libraries while maintaining the company’s visual identity. Partners with Events, IT, HR, and other employee-facing teams, translating briefs into timely designs and exploring animation, video, and interactive communication formats.
Top Skills:
Adobe Creative SuiteCanvaGoogle SuiteMS Office
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
