Purpose & Overall Relevance for the Organization:
adidas Shared Services in Porto delivers high quality services for Accounts Payable, Accounts Receivable, Retail Accounting, eCommerce Accounting and other Finance processes as well as HR Services for adidas companies located in Europe and Americas.
Our Direct-to-Consumer (DTC) team handles large volumes of data and has a direct impact in the company financial results. The selected person will be responsible for raw data gathering and handling from various sources to interpret patterns and trends. Responsible for managing data set, developing reports and troubleshooting data issues. Responsible for scrutinizing the information using data analysis tool and report it to management.
Key Responsibilities:
Collect and interpret DTC data;
Analysing results from data collected;
Report the results to management and business;
Identifying patterns and trends in data sets;
Defining new data collection and analysis processes;
Identify processes improvements from analysis performed;
Providing technical expertise on data storage structures, data mining, and data cleansing.
Key Relationships:
GBS DTC eComm leadership team
DTC eComm GPO team
DTC eComm teams
Local finance markets
GBS Porto Delivery Excellence
Knowledge, Skills and Abilities:
Experience in data models and reporting packages
Experience with programming languages such as SQL, Oracle and Phyton;
Ability to analyse large datasets
Ability to write comprehensive reports
Strong verbal and written communication skills
An analytical mind and inclination for problem-solving
Attention to detail
Experience in a Shared Service environment or similar
Ability to read, write and communicate in English in a business setting
Ability to pay close attention to detail and high degree of customer orientation
Highly results driven and self-motivated team player with compassion, integrity, trust and perseverance.
Curious and growth mindset; keen to learn and approach subjects outside of comfort zone, look beyond the obvious
Requisite Education and Experience / Minimum Qualifications:
University degree in Computer Science, Mathematics, Statistics or Economics;
4 plus years relevant work experience in data analysit area;
Broad and deep theoretical understanding of job function.