As a Data Analyst for Sleek, you will be working in the Data amp; Analytics organization to solve a wide range of business problems across multiple functional areas.
Your primary responsibilities will be to make data accessible to the relevant stakeholders, in a format they can activate. You will deploy a flexible analytical skill set to prepare, organize and deliver insightful data and analysis. You will be improving the business operations, reporting and analysis for our internal operations world-wide.
The job will require working closely with the various Business Units to understand their needs as well as the whole data team to understand and access available data.
You will help build data pipelines when needed - from inception and data collection, to analysis and presentation to the stakeholders.
You won't be afraid to approach new, unique problems, and you'll be capable of working with large amounts of data with high attention to detail.
We consider the company’s success to be a result of committed individual and team efforts, and are looking to onboard talented and creative people who want to make a difference. Our corporate social responsibility is a passion we take very seriously as an opportunity to make the world a better place. With a strong commitment to also make Sleek a great place to work, we offer a flexible working environment where we empower every team member to be the best they can be - regardless of race, ethnicity, religion, gender, age or identity.
Disclaimer: This job posting and the subsequent recruitment process are for pooling purposes only. We will contact qualified candidates for further assessment. While we appreciate all applications, please note that submission does not guarantee employment. The start date for the position is not yet guaranteed and is subject to change based on organizational needs and priorities.
Duties and Responsibilities:
The Employee shall perform the following duties as determined by the Head of Data amp; Analytics of the Company from time to time which shall include:
Assisting in setup the Data infrastructure of Sleek, through
Contribute to Sleek’s automation project:
Requirements