*overview*
pepsico products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world.
pepsico generated more than $79 billion in net revenue in 2021, driven by a complementary beverage and convenient foods portfolio that includes lay's ®, doritos ®, cheetos ®, gatorade ®, pepsi ®, quaker ® and more.
pepsico's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales.
guiding pepsico is our vision to be the global leader in beverages and convenient foods by winning with pepsico positive (pep+).
pep+ is our strategic end-to-end transformation that puts sustainability and human capital at the center of how we will create value and growth by operating within planetary boundaries and inspiring positive change for planet and people.
our employees drive our culture.
no two days are the same; we are dynamic and full of passionate teams that embrace new ideas through our collaborative spirit.
at pepsico, we know that our company can only succeed when our associates and the society we serve flourishes.
we are committed to fostering a diverse workforce by creating a collaborative, equitable and inclusive space where everyone, regardless of what we look like, where we come from or who we love, has a voice.
at pepsico we create a space to be y( )u.
*responsibilities*
*transf analyst*
*main purpose*
- preparing master data reports in order to support business requirements
- run data quality reports and do proper follow up
- facilitate calls/meetings for data quality or workflow improvements
- keep up to date dq share point and dq teams team page
- participate ops projects as material data quality representative
- communicate and collaborate cross-functionally to assist team to solve operational issues
- motivate team members to achieve plan goals
- serve as a key statistical resource.
- design and implement programs to monitor the calibration and accuracy of all the data that is consumed by the supply chain, analytical in the plant.
- lead the interpretation of analytical and in-process data to perform data quality assessments, recommend improvement actions and ensure resolution to the business.
challenge results and drive improvements.
train others in interpreting the results.
- administer policies and procedures
*accountabilities*
- interpret data, analyze results using statistical techniques and provide ongoing reports.
- identify, analyze, and interpret trends or patterns in complex data sets.
- document all data entry options for all mrp views fields making clear the definition of that option and what impact that option will have on sap functionality.
- support with root cause investigation of master data-related issues and incidents with a view to updating standards, processes, and accountabilities to prevent repeat failures.
- locate and define new opportunities to improve manufacturing processes derived from data analysis.
- partner with accountable functions to list data sources for all material master fields.
- work with management to prioritize business and information needs.
- develop, deliver, and publish training materials and degree pathways for all key roles in our data community.
this will include data owners, data providers, and leadership roles.
- interact with internal and external stakeholders to understand their concerns and actively participate in solution design and building.
- developing team through training and performance management.
- partner with accountable functions and facilitate the improvement of data quality for material master fields.
- ensure high level of support to the business about material master data process.
- be up to date with global data standard (position papers) and procedures
- keep material master data processes efficiency on high level and propose/drive improvements
*qualifications*
*qualifications*:
- understanding of sap processes, in particular, move/supply chain
- proven working experience as a materials data analyst or data analyst.
- good understanding of master data objects like material master.
- strong analytical skills, as shown by the advanced use of data analysis tools and concepts.
- technical expertise regarding data models, database design development, data mining, and segmentation techniques.
- ability to understand complex data requirements and be able to identify and offer multiple solution options to facilitate the best outcome (e.g., automated transformation vs. manual enrichment).
- general knowledge of software development practices and technical documentation (requirements, functional specifications, test plans, etc.).
- strong influencing, facilitating; and consulting skills in working with stakeholders at all levels in the organization and across departments.
- excellent oral and written skills to effectively communicate complex ideas a