Job Description

As a staff data analyst, you will drive critical decision making and modeling across a range of ambiguous problems in the supply chain. You will be structuring the data, performing analysis, running simulations, and modeling large-scale datasets to optimize business outcomes and facilitate business decision making. This is a rare opportunity to be part of a diverse, growing, and dynamic team. You will be part of an early stage international expansion team where you will get a broad end-to-end view of the expansion of an e-commerce business.

Key Responsibilities

Your roles will entail among others:

• Collaborate with cross-functional teams to identify opportunities for enhancing operations and business solutions.

• Tackle complex data analysis problems, effectively communicating findings to stakeholders.

• Provide analysis for launched solutions to quantify outcomes.

• Formulate business concerns as technical problems solvable using data and math/stat methods.

• Co-build data analytics culture within the supply chain automation team.

• Develop analytics, success metrics, dashboards, and simulations for products, business, and operations

• Define KPIs and identify improvement opportunities in supply chain analytics.

• Conduct experimentation, A/B tests, and product analytics.

• Supply Chain Analytics – defining KPIs and identifying improvement opportunities.

• Build reporting dashboards in tableau / Power BI. Insights / analytics in Jupyter notebook.

Qualifications

• 7-10 years of experience in Business Analytics / Data Analytics / Machine Learning.

• 5+ years of relevant working experience in an analytical role involving data extraction, analysis, statistical modeling, and communication

• Excellent quantitative analysis skills

• Strong experience in statistics/ML fundamentals and demonstrated experience in Python, SQL, and visualization tools.

• - Strong critical thinking skills and ability to solve problems using data science and machine learning fundamentals.

• Expertise to conduct analysis independently for a business problem through data manipulation, formulation of hypotheses, design and statistical analysis of experiments to test them

Preferences

• Experience with big data tools like Hadoop, Spark, and Presto

• Experience working in e-commerce domain

• Experience in e-commerce, retail/FMCG & distribution (e.g. Discount Store, CVS) or global companies

• Experience with Supply chain / Inventory Planning / Demand & Supply Planning

What We Offer:

• A dynamic and challenging work environment with opportunities for growth and development.

• Competitive salary and benefits package.

• A collaborative culture that values innovation, integrity, and diversity.