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This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: • Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements, • Develop and maintain dashboards, KPIs, and reporting suites using Power BI, • Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights, • Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting, • Build predictive models and analytical tools to support strategic decision-making and business planning, • Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation, • Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data, • Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth, • Develop and maintain data pipelines and automated reporting processes where appropriate, • Present findings and recommendations clearly to senior leadership and operational stakeholders, • Support ongoing digital transformation initiatives across the business, • Ensure analytical work follows best practices around governance, security, and ethical AI usage, • Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics., • Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting., • Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance., • Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels., • Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making., • Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements., • Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight. Profile Essential: • Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role, • Strong analytical and problem-solving skills with commercial awareness, • Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation., • Strong experience using SQL for querying and manipulating datasets, • Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation., • Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro, • Understanding of AI, machine learning, automation tools, and modern analytics techniques, • Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders, • Excellent communication and stakeholder management skills, • Highly organised with the ability to manage multiple priorities in a fast-paced environment, • Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms., • Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis., • Experience translating commercial and marketplace data into actionable business insight. Desirable: • Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment, • Experience with forecasting, demand planning, or supply chain analytics, • Experience developing AI-enabled business solutions or workflow automation, • Understanding of financial reporting and commercial finance concepts, • Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline, • Experience with Amazon marketplace optimisation tools such as Helium 10., • Experience using social listening and consumer insight platforms such as Meltwater., • Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses.

Data Specialist Location: Hinckley - Hybrid working Salary: £60K - £70K Our client is seeking a proactive and commercially minded Data Specialist to join their growing team. This is a fantastic opportunity to play a key role in shaping the organisation's reporting, analytics, and data infrastructure, helping to drive informed business decisions through accurate, accessible, and insightful data. This role offers a blend of front-end reporting and back-end data management, making it ideal for someone who enjoys developing impactful Power BI dashboards while also managing and enhancing a centralised data warehouse environment. Key Responsibilities • Design, build, and maintain Power BI dashboards and reports., • Develop and optimise data models and advanced DAX calculations., • Extract, transform, and prepare data using SQL., • Support and maintain the organisation's data warehouse and reporting environment., • Ensure data accuracy, integrity, and performance across reporting solutions., • Partner with stakeholders to understand requirements and deliver actionable insights., • Present data-driven recommendations to senior leadership teams.About You, • Proven experience in a Data Analyst, Data Specialist, BI Analyst, or similar role., • Strong Power BI, SQL, and DAX skills., • ...

Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Data Analyst - £67,500, • Data Analytics Analyst - £80,000, • Business Analysts - £60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fa...

This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. Client Details Leading international Manufacturing & Retail Company Description This leading international Manufacturing & Retail Company is seeking a commercially focused and technically capable Data Scientist to join their Finance team to support a high growth phase into new markets. This is a cross-functional business role designed to support data-driven decision making across the entire organisation - including Finance, Merchandising, Creative, Licensing, Sales, Supply Chain, eCommerce, and Operations. The role will additionally support marketplace, eCommerce, and consumer insight initiatives to help drive commercial decision-making across retail and digital channels. The successful candidate will be responsible for transforming complex business data into actionable insights, building reporting frameworks, identifying trends and opportunities, and supporting leadership teams with strategic analysis and forecasting. The role will also play a key part in driving the company's adoption of AI technologies, automation, and modern analytics tools. Key Responsibilities: Analyse large and complex datasets across multiple platforms to identify trends, risks, opportunities, and operational improvements Develop and maintain dashboards, KPIs, and reporting suites using Power BI Support the Finance team with forecasting, budgeting, margin analysis, profitability reporting, and commercial insights Partner with Merchandising, Sales, Licensing, Creative, Supply Chain and Operations teams to provide analytical support and performance reporting Build predictive models and analytical tools to support strategic decision-making and business planning Drive the adoption of AI and automation solutions across the business to improve efficiency and insight generation Work with ERP and operational systems, including D365 Business Central, to extract, validate, and analyse data Improve data quality, governance, consistency, and reporting accuracy across departments to ensure one version of the truth Develop and maintain data pipelines and automated reporting processes where appropriate Present findings and recommendations clearly to senior leadership and operational stakeholders Support ongoing digital transformation initiatives across the business Ensure analytical work follows best practices around governance, security, and ethical AI usage Monitor and analyse eCommerce and marketplace KPIs including conversion rate, click-through rate (CTR), ACOS, TACOS, Buy Box performance, average selling price (ASP), keyword rankings, and inventory health metrics. Support eCommerce and marketplace advertising analysis, including Amazon Sponsored Ads performance, ROAS optimisation, campaign analysis, and budget efficiency reporting. Support data-driven optimisation of eCommerce product listings, keywords, digital content, and marketplace visibility to improve discoverability, conversion, and sales performance. Conduct competitor, pricing, and market analysis to identify trends, opportunities, and risks across eCommerce and retail channels. Apply predictive analytics and trend analysis to support demand forecasting, inventory planning, and commercial decision-making. Support testing and experimentation across pricing, advertising, promotions, and digital content strategies, using analytical insight to measure performance and recommend improvements. Work closely with merchandising, eCommerce, licensing, and marketing teams to provide commercially focused analytics and actionable insight.Profile Essential: Previous experience within a Data Scientist, Data Analyst, Business Intelligence, or Analytics role Strong analytical and problem-solving skills with commercial awareness Advanced Power BI capability, including dashboard creation, DAX, data modelling, and visualisation. Strong experience using SQL for querying and manipulating datasets Experience using AI tools, large language models (LLMs), and automation technologies to support analytics, reporting, and business insight generation. Experience working with ERP systems, preferably Microsoft Dynamics 365 Business Central (BC) and/or Syspro Understanding of AI, machine learning, automation tools, and modern analytics techniques Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders Excellent communication and stakeholder management skills Highly organised with the ability to manage multiple priorities in a fast-paced environment Experience working with eCommerce and marketplace analytics, preferably Amazon Seller Central and Amazon Advertising platforms. Understanding of eCommerce performance metrics including ROAS, ACOS, TACOS, conversion rate optimisation, keyword ranking, and digital traffic analysis. Experience translating commercial and marketplace data into actionable business insight.Desirable: Experience within a consumer products, retail, licensing, apparel, manufacturing, or distribution environment Experience with forecasting, demand planning, or supply chain analytics Experience developing AI-enabled business solutions or workflow automation Understanding of financial reporting and commercial finance concepts Degree qualified in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative discipline Experience with Amazon marketplace optimisation tools such as Helium 10. Experience using social listening and consumer insight platforms such as Meltwater. Experience within licensed apparel, consumer products, retail, eCommerce, or marketplace-driven businesses. Job Offer