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.They 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 Story
Data & 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: connects their 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 improving data quality frameworks catch my attention.Resumes that show they think in systems, not one-off analyses
Qualifications:
Strong attention to detailAnalytical skills to perform cost analysis and identify pricing discrepancies.Fluency in English.