Digital Transformation Lead

2 days ago

East Hampshire, United Kingdom ENGINEERINGUK Full time

Company Overview

Mars, a leading global manufacturer of pet food and other consumer goods, is seeking an experienced Data Analytics Manager - Finance to join its EngineeringUK team. This role will play a critical part in the company's SAP S/4HANA digital transformation program, focusing on data & analytics engineering for finance.

Salary

The estimated annual salary for this position is around £80,000-£110,000, depending on experience. Mars offers a competitive salary, along with additional benefits such as a bonus package and access to its in-house learning platform, Mars University.

Job Description

This Data Analytics Manager - Finance will be responsible for overseeing the data & analytics area within the Pet Nutrition business unit. The successful candidate will work closely with the Shepherd SAP S/4HANA Digital Transformation program team to deliver high-quality results and drive business growth.

  • Degree level OR equivalent demonstrated through work experience. Nice to have - Masters / Degree with some computing, scientific, statistical or mathematical component.
  • 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.
  • 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.
  • 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. 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, behaviours, 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.
  • 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.

Benefits

Mars offers a comprehensive benefits package, including:

  • Competitive salary and bonus package.
  • Access to Mars University, providing best-in-class learning and development opportunities.
  • A supportive and inclusive work environment.
  • Ongoing professional development and training.

Equal Opportunities Employer

Mars is an equal opportunity employer and welcomes applications from all qualified candidates. If you require any accommodations during the application process, please let us know.

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