The role of Merchandising Analyst in the retail industry involves analysing sales data and inventory trends to optimise stock levels and support business growth. Based in Trafford, this position requires a detail-oriented professional with strong analytical capabilities. Client Details The hiring company is a well-established organisation in the retail sector, dedicated to delivering quality products and services to its customers. They are a medium-sized business with a reputation for fostering a supportive and professional work environment. Description Analyse sales and inventory data to identify trends and opportunities for improvement. Monitor stock levels and ensure optimal stock availability across all retail locations. Collaborate with the buying and planning teams to forecast demand and manage stock replenishment. Prepare and present regular reports on merchandising performance to stakeholders. Support the implementation of pricing strategies to maximise profitability. Evaluate the effectiveness of promotional campaigns and recommend adjustments as needed. Assist in developing and maintaining category plans to align with business objectives. Identify and resolve discrepancies in stock data to maintain accurate records. Profile A successful Merchandising Analyst should have: Strong analytical and problem-solving skills with attention to detail. A background in retail or merchandising, with knowledge of industry practices. Experience in using data analysis tools and software to interpret trends. Excellent communication skills to collaborate with cross-functional teams. The ability to manage multiple tasks and meet deadlines effectively. A proactive approach to identifying opportunities for process improvement. Job Offer A competitive salary ranging from 26,000 to 30,000 per annum. Free parking available on-site for employees. Convenient location in Trafford with excellent transport links. Opportunity to work in a professional and supportive environment in the retail industry. A permanent position with room for growth and development. Merchandising Analyst
Jun 29, 2026
Full time
The role of Merchandising Analyst in the retail industry involves analysing sales data and inventory trends to optimise stock levels and support business growth. Based in Trafford, this position requires a detail-oriented professional with strong analytical capabilities. Client Details The hiring company is a well-established organisation in the retail sector, dedicated to delivering quality products and services to its customers. They are a medium-sized business with a reputation for fostering a supportive and professional work environment. Description Analyse sales and inventory data to identify trends and opportunities for improvement. Monitor stock levels and ensure optimal stock availability across all retail locations. Collaborate with the buying and planning teams to forecast demand and manage stock replenishment. Prepare and present regular reports on merchandising performance to stakeholders. Support the implementation of pricing strategies to maximise profitability. Evaluate the effectiveness of promotional campaigns and recommend adjustments as needed. Assist in developing and maintaining category plans to align with business objectives. Identify and resolve discrepancies in stock data to maintain accurate records. Profile A successful Merchandising Analyst should have: Strong analytical and problem-solving skills with attention to detail. A background in retail or merchandising, with knowledge of industry practices. Experience in using data analysis tools and software to interpret trends. Excellent communication skills to collaborate with cross-functional teams. The ability to manage multiple tasks and meet deadlines effectively. A proactive approach to identifying opportunities for process improvement. Job Offer A competitive salary ranging from 26,000 to 30,000 per annum. Free parking available on-site for employees. Convenient location in Trafford with excellent transport links. Opportunity to work in a professional and supportive environment in the retail industry. A permanent position with room for growth and development. Merchandising Analyst
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.
Jun 29, 2026
Full time
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.
Our client is a family run business, with an amazing product and a customer centric approach. They have stores in the UK and a rapidly growing online, International and concessions business. They really care about people, customers, and the communities in which they trade and are now looking for a Reporting Analyst. The role will be hybrid, with three days per week based out of their Amersham Head office, and two days per week working from home. The Reporting Analyst is responsible for collecting, analysing, and interpreting data to produce clear, actionable reports and dashboards that support effective business decision-making. The role focuses on tracking key performance indicators (KPIs), identifying trends, and delivering insights that drive performance and process improvement. Working cross-functionally with Buying, Merchandising, Trade Planning, Finance, and Retail Operations, the Reporting Analyst plays a key role in improving visibility of sales performance, promotional effectiveness, and inventory health across the business. Reporting Analyst - Responsibilities - Collect, extract, and consolidate data from multiple systems and databases to support business reporting requirements. - Design, build, and maintain reports, dashboards, and visualisations using tools such as Excel, SQL, and business intelligence platforms in Power BI or Tableau. - Validate data accuracy and integrity, identifying and resolving discrepancies to ensure confidence in reporting outputs. - Automate reporting processes where possible to improve efficiency, consistency, and scalability. - Analyse and monitor key commercial metrics including sales performance, promotional ROI, and inventory levels. - Identify trends, risks, and opportunities, translating complex data into clear insights and recommendations. - Present findings to stakeholders through concise written summaries and presentations, tailored to the audience. Reporting Analyst - Required Skills - Highly analytical with advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, and data modelling. - Working knowledge of SQL for data extraction and manipulation. - Experience using data visualisation and BI tools such as Power BI or Tableau. - Strong analytical and problem-solving skills, with the ability to interpret large and complex data sets. - Excellent communication skills, with the ability to explain insights clearly to non-technical audiences. - High attention to detail and a strong focus on data accuracy. - Proven ability to work collaboratively in a fast-paced, cross-functional environment. The Reporting Analyst role offers the chance to add immediate value with your skillset in a rapidly growing and evolving business. The position come with a competitive base salary, profit bonus of up to 15%, virtual GP and Brand & Partner discounts. There will be future career opportunities, in line with company growth. If you would enjoy being part of our clients on-going success-story, then apply now to be considered for their Reporting Analyst role.
Jun 27, 2026
Full time
Our client is a family run business, with an amazing product and a customer centric approach. They have stores in the UK and a rapidly growing online, International and concessions business. They really care about people, customers, and the communities in which they trade and are now looking for a Reporting Analyst. The role will be hybrid, with three days per week based out of their Amersham Head office, and two days per week working from home. The Reporting Analyst is responsible for collecting, analysing, and interpreting data to produce clear, actionable reports and dashboards that support effective business decision-making. The role focuses on tracking key performance indicators (KPIs), identifying trends, and delivering insights that drive performance and process improvement. Working cross-functionally with Buying, Merchandising, Trade Planning, Finance, and Retail Operations, the Reporting Analyst plays a key role in improving visibility of sales performance, promotional effectiveness, and inventory health across the business. Reporting Analyst - Responsibilities - Collect, extract, and consolidate data from multiple systems and databases to support business reporting requirements. - Design, build, and maintain reports, dashboards, and visualisations using tools such as Excel, SQL, and business intelligence platforms in Power BI or Tableau. - Validate data accuracy and integrity, identifying and resolving discrepancies to ensure confidence in reporting outputs. - Automate reporting processes where possible to improve efficiency, consistency, and scalability. - Analyse and monitor key commercial metrics including sales performance, promotional ROI, and inventory levels. - Identify trends, risks, and opportunities, translating complex data into clear insights and recommendations. - Present findings to stakeholders through concise written summaries and presentations, tailored to the audience. Reporting Analyst - Required Skills - Highly analytical with advanced proficiency in Microsoft Excel, including complex formulas, pivot tables, and data modelling. - Working knowledge of SQL for data extraction and manipulation. - Experience using data visualisation and BI tools such as Power BI or Tableau. - Strong analytical and problem-solving skills, with the ability to interpret large and complex data sets. - Excellent communication skills, with the ability to explain insights clearly to non-technical audiences. - High attention to detail and a strong focus on data accuracy. - Proven ability to work collaboratively in a fast-paced, cross-functional environment. The Reporting Analyst role offers the chance to add immediate value with your skillset in a rapidly growing and evolving business. The position come with a competitive base salary, profit bonus of up to 15%, virtual GP and Brand & Partner discounts. There will be future career opportunities, in line with company growth. If you would enjoy being part of our clients on-going success-story, then apply now to be considered for their Reporting Analyst role.
On behalf of our client, a Global Commodity Trading company , we are currently looking for a Commodities Data Analyst to focus on Supply and Demand analysis and reporting. The individual will coordinate external sources of market relevant data & information and combine with data flowing to the research desk from global origination teams & merchandising centres. The successful candidate will be responsible for enhancing and fully utilising the advantageous data held across the wider group. The individual will deal with a diverse range of stakeholders & customers across the business, for which research is a key part of their business. Key Responsibilities: Manage a large and complex database of Soft commodity statistics ensuring that production data is up to date and accurate. With focus on exports, imports, trade flows, stocks, local prices/differentials and consumption trends. Regular reporting for internal and external use, such as; weekly reports, meeting summaries and monthly updates. Host and minute regular internal meetings, ensuring agenda is always relevant to driving forces within the market. Prepare presentations for customers across the different profit centres aimed at supporting the trade and sales teams Engage fully with an internal network of agronomists and local origin specialists to help inform your centralised research. Analyse the markets and keep traders updated with important insights. Skills & Experience: 2 to 7 years experience within soft commodities covering Supply and Demand Data The ability to pragmatically evaluate markets and data in clearly communicate an innovative view of the markets A relevant degree in agriculture, or similar background. A good understanding of physical and futures markets. Excellent Excel skills are essential
Jun 24, 2026
Full time
On behalf of our client, a Global Commodity Trading company , we are currently looking for a Commodities Data Analyst to focus on Supply and Demand analysis and reporting. The individual will coordinate external sources of market relevant data & information and combine with data flowing to the research desk from global origination teams & merchandising centres. The successful candidate will be responsible for enhancing and fully utilising the advantageous data held across the wider group. The individual will deal with a diverse range of stakeholders & customers across the business, for which research is a key part of their business. Key Responsibilities: Manage a large and complex database of Soft commodity statistics ensuring that production data is up to date and accurate. With focus on exports, imports, trade flows, stocks, local prices/differentials and consumption trends. Regular reporting for internal and external use, such as; weekly reports, meeting summaries and monthly updates. Host and minute regular internal meetings, ensuring agenda is always relevant to driving forces within the market. Prepare presentations for customers across the different profit centres aimed at supporting the trade and sales teams Engage fully with an internal network of agronomists and local origin specialists to help inform your centralised research. Analyse the markets and keep traders updated with important insights. Skills & Experience: 2 to 7 years experience within soft commodities covering Supply and Demand Data The ability to pragmatically evaluate markets and data in clearly communicate an innovative view of the markets A relevant degree in agriculture, or similar background. A good understanding of physical and futures markets. Excellent Excel skills are essential
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
Jun 24, 2026
Full time
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
