DATA ANALYST (BI/COMMERCIAL/PRODUCT)

Data Analyst (BI/Commercial/Product) Sheffield / £50000 - £55000 annum INFO £50000 - £55000 LOCATION Sheffield Permanent Up to £55,000 UK - Remote (Sheffield team day every 1-2 months, travel paid) Reports to: Head of Commercial Insights This is a brilliant opportunity to join a fast‑scaling marketplace in the education sector. With a brand‑new Head of Commercial Insights in place, the business is rebuilding its entire data stack - from pipelines to dashboards to the semantic layer - and this hire will play a critical role in shaping how analytics operates moving forward. If you enjoy a mix of BI development, data modelling, product analysis, and commercial partnering, this role gives you autonomy, impact, and the chance to help define what "good" looks like inside a data‑hungry organisation. Where you fit You'll be the go‑to analyst for building the foundations of reporting and insight. Expect a blend of hands‑on SQL modelling, BI development, stakeholder discovery, and behavioural analysis. The company is small (under 100 people), the appetite for data is huge, and you'll sit at the centre of decision-making across product, commercial, and operations. What you'll be doing Core analytics + modelling - Build data models (SQL, star schemas, semantic-layer-ready tables). - Work with GCP + dbt pipelines (with support from a dedicated data engineer). - Turn messy spreadsheets into clean, reliable, automated reporting. BI development - Build dashboards in Omni. - Define the KPIs that matter, not just what stakeholders ask for. Product & commercial insight - Analyse behaviour across a two-sided marketplace. - Look at retention, lifetime value, drop‑off patterns, and behavioural red flags. - Do exploratory ad‑hoc analysis to uncover trends and opportunities. Stakeholder partnership - Work directly with the Head of Commercial Insights and senior leaders. - Gather requirements, challenge assumptions, and translate business questions into data logic. - Balance building, analysis, and advising the business (roughly 2/3 build, 1/3 insight). What you bring Must‑haves - 3-5 years' experience across BI / product analytics / commercial analytics. - Strong SQL (modelling, joins, transformations). - Experience with 2+ BI tools (Tableau, Looker, Power BI, etc.). - Understanding of data modelling (star schemas, semantic layers). - Strong communication skills and ability to bridge business → data. - Adaptable mindset - someone who can pick things up fast and challenge product/commercial thinking. Nice‑to‑haves - Experience in marketplaces, EdTech, consumer apps, or retention‑focused products. - Familiarity with GCP/dbt pipelines. - Behavioural / lifecycle analytics experience. Why this role - Shape the data foundations of a scaling company. - Huge variety: modelling, dashboarding, product analytics, commercial insight. - Modern BI stack (Omni) - Fully remote with occasional team days in Sheffield (all paid). - Real ownership in a business that genuinely wants data. CONTACT Kelsey Norris Recruitment Executive SIMILAR JOB RESULTS Systems Integration and Delivery Specialist Preston £450 - £500 + Advanced Analytics & Marketing Insights ContractPreston, Lancashire SYSTEMS INTEGRATION AND DELIVERY SPECIALIST £450 – £500 PER DAY OUTSIDE IR35 5 DAYS IN THE OFFICE (PRESTON) 6 MONTH CONTRACT THE COMPANY: This organisation is undergoing a major systems transformation following the recent implementation of a new ERP platform. With a strong focus on automation, integration, and operational efficiency, they are investing heavily in modernising their systems landscape and driving real-time data visibility across the business. THE ROLE: As a Systems Integration and Delivery Specialist, your key responsibilities will include: - Designing and delivering system integrations and data transfer solutions using middleware tools - Building workflows and automation within ERP to streamline processes across finance, operations, and supply chain - Driving data integrity, governance, and system controls across master and transactional data - Developing reporting solutions using SQL, SSRS, and dashboarding tools to enable real-time business insights - Identifying and implementing opportunities to automate manual finance and operational processes - Leading integrations between ERP, automated warehouse systems, and robotics (AMRs) - Collaborating with internal teams and third-party vendors to build and maintain system interfaces (APIs, file transfers, etc.) - Creating live operational dashboards to track system performance, stock movement, and automation workflows - Establishing contingency processes for system downtime and ensuring business continuity - Supporting user adoption through documentation, training, and change management YOUR SKILLS AND EXPERIENCE: - Proven experience delivering or supporting ERP implementations (e.g. Syspro, SAP, Dynamics, NetSuite) - Strong background in systems integration, automation, and data flows - Hands-on experience with SQL, SSRS, and data/reporting environments - Experience with middleware platforms (e.g. Dataswitch or similar) - Solid understanding of finance processes (e.g. stock, cost of sales, reporting) - Experience integrating with warehouse systems, automated racking, robotics, or WMS platforms - Ability to work across both technical and business stakeholders - Strong project delivery and communication skills - Comfortable operating in fast-paced, transformation-led environments HOW TO APPLY: Please register your interest by sending your CV to Mojola Coker via the apply link on this page. Systems Integration and Delivery Specialist Preston £450 - £500 + Advanced Analytics & Marketing Insights ContractPreston, Lancashire To Apply for this Job Click Here Location: Preston – Full time on site Contract Length: 6 Months IR35: Outside IR35 Rate: £450-£500pd Start: ASAP Overview The environment is stable but under-optimised, with a “vanilla” ERP setup and multiple integrations creating unnecessary complexity. This role will focus on simplifying data flows, improving system connectivity, and unlocking more value from operational and financial data. You’ll play a key role in strengthening the organisation’s data posture while laying the foundations for future reporting and ERP optimisation. Responsibilities: - Improve data extraction, usability, and connectivity from a Syspro ERP environment - Design and deliver custom applications and data transfer solutions using middleware (e.g. Dataswitch) - Build workflows and automation within Syspro to streamline processes (sales orders, production, goods receiving) - Simplify and optimise integrations across APIs, internal systems, and a central data layer - Lead integration between Syspro, Autonomous Mobile Robots (AMRs), and automated racking systems - Work with IT, engineering, and third-party integrators to build and maintain system interfaces - Ensure data exchange protocols (API, file-based, etc.) are secure, scalable, and monitored - Develop SQL-based processes (stored procedures, SSRS reporting, data pipelines) - Build dashboards to enable near real-time visibility of operational KPIs and system performance The role will evolve over time, with scope to expand into broader reporting, ERP optimisation, and data initiatives once core integrations are improved. Success Criteria - Improved integration and connectivity across ERP, automation systems, and data platforms - Simplified, scalable data flows with reduced manual intervention - Increased automation across operational and finance processes - Improved visibility of KPIs and system performance - Clear, demonstrable value delivered through independent ownership Key Requirements Must-have: - Proven experience implementing or working across ERP systems (Syspro highly desirable; SAP, Dynamics, NetSuite also relevant) - Strong SQL skills (including stored procedures) - Experience with APIs, system integrations, and data flows - Experience with SSRS, reporting, or data warehousing concepts - Strong understanding of automation and middleware platforms - Ability to work across technical and business stakeholders Nice to have: - Experience with Syspro (strong preference) - Exposure to Dataswitch or similar middleware tools - Experience with AMR, robotics, WMS, or automated racking integrations - Finance systems knowledge (costing, stock, margin reporting) - Background in manufacturing, pharma, or SaaS environments Profile - Entrepreneurial and proactive mindset - Comfortable working independently in a flat structure - Takes ownership and drives ideas through to delivery - Strong communicator across technical and operational team To Apply for this Job Click Here Data Engineer Manchester £70000 - £90000 + Data Engineering PermanentManchester, Greater Manchester To Apply for this Job Click Here Senior Data Engineer £70,000-£90,000 Manchester (Hybrid) This is an exciting opportunity to join a growing tech scale‑up where data is at the heart of their product. You will play a key role in shaping their data infrastructure, enabling large‑scale machine learning and real‑time analytics that directly impact their customers. THE COMPANY They are a high‑growth SaaS organisation operating in the digital advertising space. Their platform helps customers optimise performance through advanced analytics, real‑time behavioural insights and machine learning. With a collaborative engineering culture and strong investment backing, they are building scalable data systems to support rapid product expansion. THE ROLE As a Data Engineer you will take ownership of the company’s core data pipelines, transforming large‑scale event data into reliable, ML‑ready datasets that power real‑time decisioning and analytics across the business. Specifically, you can expect to be involved in the following: - Design and manage data ingestion pipelines that feed into their cloud data warehouse. - Build and maintain pipelines that prepare data for machine learning and analytics use cases. - Restructure/improve existing datasets to ensure they are reliable, performant and ML‑ready. - Work closely with Data Science and Platform Engineering to productionise models and improve data foundations. - Proven ability to work with high‑volume event data at scale. SKILLS AND EXPERIENCE The successful Data Engineer will have the following skills and experience: - Strong commercial experience in Python, SQL and cloud‑based data engineering. - Hands‑on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis. - Understanding of streaming data, system performance and cost‑efficient architecture. - A proactive mindset with the confidence to identify and solve problems independently. BENEFITS The successful Data Engineer will receive the following benefits: - Salary between £70,000 – £90,000 – depending on experience. - Competitive benefits. HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page. To Apply for this Job Click Here Senior Data Scientist Manchester £70000 - £90000 + Data Science & AI PermanentManchester, Greater Manchester To Apply for this Job Click Here Senior Data Scientist Manchester (2 days on site) A high‑growth SaaS scale‑up is hiring a Senior Data Scientist to build their first production AI capabilities. You will work end to end across ideation, prototyping, and deployment, shaping how customers detect fraud, block invalid traffic, and optimise real‑time behavioural analytics. The Company They are a rapidly scaling SaaS business specialising in privacy‑compliant, cookieless analytics. They process billions of data rows weekly to prevent wasteful and fraudulent traffic. Their platform uniquely combines real‑time behaviour modelling, fraud detection, and optimisation. The Role * Deliver full lifecycle AI and ML projects from prototype to production. * Build applied AI workflows including LLMs, NLP, and RAG‑based solutions. * Work with large and messy tabular datasets to create high‑impact models. * Develop classification and optimisation approaches to enhance customer outcomes. * Partner with Product and Engineering to integrate models into the platform. * Lead the transition toward a more AI‑driven product ecosystem. Your Skills and Experience * Strong commercial experience deploying AI and ML systems into production. * Hands‑on experience with LLMs, NLP, or retrieval‑augmented workflows. * Confident working with large‑scale tabular datasets and complex data environments. * Cloud experience, ideally AWS, plus familiarity with MLOps practices. * Background in product‑focused environments or consultancy. * Ability to evidence measurable business impact from previous technical projects. What They Offer * Hybrid working with two office days weekly. * High levels of ownership across AI strategy and delivery. * Opportunity to build the company’s first production AI systems. * Collaborative culture within a scaling SaaS environment. * Clear progression as the AI function grows. How to Apply To register your interest, please apply with your CV. To Apply for this Job Click Here CAN’T FIND THE RIGHT OPPORTUNITY? STILL LOOKING? 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