Job responsibility:
61 Partner with analytics engineers, analytics insights designer and data analyst in facilitating the design, building and automation of datasets, reports and dashboards that empower everyday decision-making for sustainably improving end to end supply chain business results.
61 Architect, design, develop and maintain semantic models suited for specific and wider analytical applications using agile and DevOps methodologies.
61 Analyse, identify and maintain synergies with data requirements across all supply chain functions.
61 Apply software engineering best practice to analytics code (e.g., version control, testing, continuous integration)
61 Build and maintain data pipelines from different sources, integrate and structure it for advanced analytics through effective collaboration with IT.
61 Optimize large & complex data sets to model suitable data warehouse solutions for machine learning, deep learning etc.
Qualifications:
61 Master’s or bachelor’s degree in computer science, data science, data engineering or equivalent with at least 1+ years of experience in advanced data analytics environment.
61 Extensive experience in building semantic models/ datasets from a wide variety of data sources like SQL, Azure, Databricks or other big data technologies.
61 Extensive hands-on-experience of data modelling in Power BI or Tabular SSAS.
61 Well founded in best practice for data modeling, relational databases and data architecture.
61 Practical experience in machine learning and programming languages like Python, R etc.
61 Strong communication and interpersonal skills, with a demonstrated ability to work effectively in a team environment.
61 Ability to articulate vision, requirements & benefits, providing a solid rationale to business and technical partners.
61 An eye for the particular and detail, yet a strong grasp of the interconnected whole.
61 You enjoy continuously pushing boundaries: discover the new, broaden your knowledge, hone your skills and widen your technology experience.
61 Hands-on-experience in DevOps (Continuous Integration/ Continuous Deployment) and modern data stack tools (Snowflake, MS Fabric, Google Big Query etc.) experience is a plus.