Job description

Our mission is to provide our clients with technologically-enriched support to ensure safe and sustainable products, fit for use and loved by their consumers.
Why join our Company? Because API is constantly striving to offer the best household goods quality assurance solutions to our international base of customers.
With the continuous expansion of our lab activities, we are looking for new dynamic and motivated talents.

API Lab Testing, a company of Worms Safety Alliance Laboratories |

We are seeking a Data Analyst to join on Group IT Team for the development and operation of the company’s technology platforms and data warehousing projects. This person is highly motivated, combines deep technology expertise across multiple projects and relishes the prospect of taking responsibility across various data related projects.
Perform analytics and create visualizations to fit different business needs as well as maintaining Data & BI Application Platforms (Data Warehouse, Power BI)

Responsible for data governance, validation, and data cleansing.
Engage with Data Engineer team on ETL design, data modelling and continuously refine data platform offerings
Collaborate with different departments/teams / key stakeholders for business requirement analysis, solution design, implementation and launches
Distil quantitative and qualitative data to communicate compelling stories to diverse audiences
Train end-users on new reports and dashboards
Support initiatives for data integrity and normalization
Provide quality assurance of imported data
Analyse existing data to generate insights for an internal audience
Work closely with different parties to build ETL pipelines and data views

Bachelor’s degree or above in Data Analytics, Computer Science, Mathematics, or other relevant disciplines
4 -5 years of experiences as a data analyst, data scientist or data engineer
Advanced skills in business intelligence reporting & visualization tools - Power BI
Solid experiences in complex data sets analysis, dashboard building, SQL, data modelling, ETL process development and data warehousing
Experience in Agile/Scrum
Hands-on experiences for programming in any language
Excellent analytical and presentation skills
Machine learning knowledge is add-On
Strong communication skills in both written and presentation
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