Data Analyst

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics.You will be responsible for conducting both recurring and ad hoc analysis for business users.Skills:Data Analytics and ModellingProblem SolvingAbility to Effectively Use Data to Tell A StoryData & Technical Depth: experience w/ large datasets, data pipelines, or transformation work — not just reporting & dashboards.
SQL & Python proficiency, data modeling, automation, experience w/ AI, or experience working with product/catalog/vendor data is a big plus.Must have 2/3 minimum: SQL, Python, advanced excel (power query/vba)Business Acumen: connect stheir work to business outcomes.
Revenue impact, cost savings, process optimization, pricing improvements, or product performance insights.Understand why the work matters commercially.Process & Scalability Mindset: Signals like building templates, standardizing taxonomies, automating workflows, or impro...