Levi’s is looking for an Analyst and Data Visualisation Expert to support the data science and analytics team focused on supply chain operation data products. You are a great storyteller and technical contributor who has experience solving business problems with data-driven tools. You will deliver a suite of analytical products including analyses, dashboards and insights. You will collect and present data to improve strategic decision-making and to track the benefits unlocked by the data products. You have a high degree of curiosity about the business and the skills to discover impactful insights from data. You should communicate those insights in a way that builds confidence and enables decisions that create value.
Responsibilities
Dive deep into complex business problems and provide insights on digital features, or AI model performance. Partner with teams on implementation.
Create dashboards to track adoption and business impact of features and data product launched.
Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise and informing important strategic decisions.
Partner with data science, data analytics and product managers on planning, goal setting and prioritisation.
Partner with data and engineering teams to improve instrumentation and product/models health reporting, pre/post analysis and business debugging.
Partner with A/B test team to design experiments and post-hoc analysis of results.
Promote a culture of data-driven excellence, ownership, collaboration.
Support partners and regional data analysts by understanding their needs and providing guidance.
Promote adoption of new digital tools to standardise analytics technical suites across global business.
Your background
10+ years of overall IT experience with 3+ years of professional experience analysing complex data, drawing conclusions, and making recommendations.
3+ years of applied data visualization experience. GCP Looker experience is good to have. (Tableau or PowerBI experience are also acceptable)
3+ years of experience extracting and manipulating large datasets from different relational databases using SQL (Amazon Redshift, Oracle, Google BigQuery).
Coding skills in at least one statistical or programming language (R or Python preferred) to analyze data.
Hands-on experience working with big data, clickstream data, in big data volume sectors such as ecommerce, gaming, social network, ecommerce platforms is good to have.
Translate and present complex analysis in executive summaries.
Bachelor's degree in economics, Statistics, Data, Data Science or Engineering (Master's degree is good to have)