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SAP S/4HANA Finance Data & Analytics Lead
Employer: Mars Location: London, United Kingdom Salary: Competitive Closing date: 5 Jan 2025 Sector: Manufacturing Role: Manager Contract Type: Permanent Hours: Full Time Job Description:
Pet Nutrition (PN) is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program named Shepherd has been mobilised by the Mars Pet Nutrition leadership team. Shepherd is focused on the implementation of SAP S/4Hana for Pet Nutrition. Much more than a simple "Lift and Shift," this program will undertake a major process simplification and harmonisation scope as we digitally transform our business.
Shepherd is focused primarily on eight mega process areas: Finance, Source to Pay (procurement and vendor mgmt.), Plan to Fulfil (manufacturing and distribution), Lead to Cash (order processing and payment), Governance, Engage to Consume (marketing), Idea to Market (R&D), and Recruit to Retire (HR). This transformation requires thought leadership, quality decision making, deep technical know-how, and the ability to navigate complex business challenges while applying a holistic and multi-disciplinary approach to each of these mega processes. As part of Shepherd, a new role has been created to manage the Data & Analytics area for Source to Pay.
As part of Shepherd SAP S/4Hana Digital Transformation program, we require the highest level of data & analytics engineering expertise. There is a need to build a high-performing team of creative, skilled individuals - to help deliver this major ERP Transformation within the Pet Nutrition. The successful candidate will be responsible for the Pet Nutrition area and will be working closely with all other counterparts in Mars (i.e., Royal Canin, Corporate, Snacking and Food) to merge all key timelines and activities related to the D&A.
This role is supporting the Shepherd transformation and as a result, has an anticipated program end date of 5 years. Throughout your time in this role, we will have focused discussion around your development in support of your Best Next Move following the completion of this project. Should you be unsuccessful in securing an alternative role, your role may be at risk of redundancy. Should this occur, you may be eligible to receive separation benefits consistent with Company policies and practices. What are we looking for? Education & Professional Qualifications Degree level OR equivalent demonstrated through work experience. Nice to have - Masters / Degree with some computing, scientific, statistical or mathematical component. Knowledge / Experience Experience working in sizeable and complex digital transformations in large global organisations resulting in high adoption of new tools. Experience with S/4 HANA transformation. Extensive experience working with data, data models, and data systems related to Finance. Technical expertise regarding data models, database design development, data mining and segmentation techniques. Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Design of solutions that subscribe to robust and agile technical frameworks and standards. Passion for working creatively with interesting, innovative data. Flexibility and willingness to adapt to new software and techniques. What will be your key responsibilities? Live and exemplify the Five Principles of Mars, Inc. within self and team. Take Data & Analytics ownership of Finance for Pet Nutrition as part of the ERP Digital Transformation. Data Collection and Cleaning: Gather data from various sources, including databases, spreadsheets, and other tools and ensure the data is accurate, complete and properly formatted. Data Analysis: Use statistical techniques and data visualisation tools to explore and analyse large datasets. Identify patterns, trends, and correlations to extract meaningful insights. Reporting and Presentation: Present analysis findings to stakeholders clearly and concisely using visualisations, dashboards and reports. Communicate complex data concepts in a way that is easily understandable to non-technical audiences. Data Modelling and Forecasting: Develop models and algorithms to predict future trends, behaviour, or outcomes based on historical data. Apply statistical methods and machine learning techniques to build predictive models. Data Quality and Integrity: Ensure data accuracy, consistency, and integrity throughout the analysis process. Identify and resolve data quality issues or inconsistencies. Data Visualisation: Create visually appealing and interactive charts, graphs, and dashboards to represent data analysis results. Use tools like Tableau, Power BI, or Python libraries like Matplotlib or Seaborn. Problem-Solving: Identify business problems or challenges and formulate data-driven solutions. Collaborate with cross-functional teams to understand requirements and provide analytical support. Continuous Learning and Development: Stay updated with industry trends, emerging technologies, and new analytical techniques. Enhance skills in data analysis, programming, statistics, and machine learning. What can you expect from Mars? Work with over 140,000 diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
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Employer: Mars Location: London, United Kingdom Salary: Competitive Closing date: 5 Jan 2025 Sector: Manufacturing Role: Manager Contract Type: Permanent Hours: Full Time Job Description:
Pet Nutrition (PN) is the most vibrant category in the FMCG sector. As we work to transform this exciting category, a new program named Shepherd has been mobilised by the Mars Pet Nutrition leadership team. Shepherd is focused on the implementation of SAP S/4Hana for Pet Nutrition. Much more than a simple "Lift and Shift," this program will undertake a major process simplification and harmonisation scope as we digitally transform our business.
Shepherd is focused primarily on eight mega process areas: Finance, Source to Pay (procurement and vendor mgmt.), Plan to Fulfil (manufacturing and distribution), Lead to Cash (order processing and payment), Governance, Engage to Consume (marketing), Idea to Market (R&D), and Recruit to Retire (HR). This transformation requires thought leadership, quality decision making, deep technical know-how, and the ability to navigate complex business challenges while applying a holistic and multi-disciplinary approach to each of these mega processes. As part of Shepherd, a new role has been created to manage the Data & Analytics area for Source to Pay.
As part of Shepherd SAP S/4Hana Digital Transformation program, we require the highest level of data & analytics engineering expertise. There is a need to build a high-performing team of creative, skilled individuals - to help deliver this major ERP Transformation within the Pet Nutrition. The successful candidate will be responsible for the Pet Nutrition area and will be working closely with all other counterparts in Mars (i.e., Royal Canin, Corporate, Snacking and Food) to merge all key timelines and activities related to the D&A.
This role is supporting the Shepherd transformation and as a result, has an anticipated program end date of 5 years. Throughout your time in this role, we will have focused discussion around your development in support of your Best Next Move following the completion of this project. Should you be unsuccessful in securing an alternative role, your role may be at risk of redundancy. Should this occur, you may be eligible to receive separation benefits consistent with Company policies and practices. What are we looking for? Education & Professional Qualifications Degree level OR equivalent demonstrated through work experience. Nice to have - Masters / Degree with some computing, scientific, statistical or mathematical component. Knowledge / Experience Experience working in sizeable and complex digital transformations in large global organisations resulting in high adoption of new tools. Experience with S/4 HANA transformation. Extensive experience working with data, data models, and data systems related to Finance. Technical expertise regarding data models, database design development, data mining and segmentation techniques. Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Design of solutions that subscribe to robust and agile technical frameworks and standards. Passion for working creatively with interesting, innovative data. Flexibility and willingness to adapt to new software and techniques. What will be your key responsibilities? Live and exemplify the Five Principles of Mars, Inc. within self and team. Take Data & Analytics ownership of Finance for Pet Nutrition as part of the ERP Digital Transformation. Data Collection and Cleaning: Gather data from various sources, including databases, spreadsheets, and other tools and ensure the data is accurate, complete and properly formatted. Data Analysis: Use statistical techniques and data visualisation tools to explore and analyse large datasets. Identify patterns, trends, and correlations to extract meaningful insights. Reporting and Presentation: Present analysis findings to stakeholders clearly and concisely using visualisations, dashboards and reports. Communicate complex data concepts in a way that is easily understandable to non-technical audiences. Data Modelling and Forecasting: Develop models and algorithms to predict future trends, behaviour, or outcomes based on historical data. Apply statistical methods and machine learning techniques to build predictive models. Data Quality and Integrity: Ensure data accuracy, consistency, and integrity throughout the analysis process. Identify and resolve data quality issues or inconsistencies. Data Visualisation: Create visually appealing and interactive charts, graphs, and dashboards to represent data analysis results. Use tools like Tableau, Power BI, or Python libraries like Matplotlib or Seaborn. Problem-Solving: Identify business problems or challenges and formulate data-driven solutions. Collaborate with cross-functional teams to understand requirements and provide analytical support. Continuous Learning and Development: Stay updated with industry trends, emerging technologies, and new analytical techniques. Enhance skills in data analysis, programming, statistics, and machine learning. What can you expect from Mars? Work with over 140,000 diverse and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.
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