Python Data Analyst
Job Description:
About the Company
Our client is an emerging leader in AI-powered supply chain optimization. Their platform helps businesses eliminate overstocking and under-stocking by leveraging advanced analytics and forecasting models. Built by supply-chain experts, the organization focuses on enabling high-growth startups to scale seamlessly by aligning supply with demand through data-driven decisions.
Key Responsibilities
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Data Management: Collect, clean, wrangle, and transform complex datasets into actionable insights.
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Python Automation: Write efficient scripts using Python libraries like Pandas, NumPy, SciPy to automate workflows and improve efficiency.
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Data Analysis: Identify trends, analyze patterns, and present insights through dashboards, reports, and visualizations.
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Cross-Functional Collaboration: Work closely with Product, Engineering, and AI Research teams to refine data models and uncover opportunities.
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Continuous Improvement: Stay updated with emerging tools and techniques in data analytics to drive innovation.
Required Skills & Experience
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Strong proficiency in Python and associated data libraries (Pandas, NumPy, SciPy, etc.).
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Experience working with large datasets, and familiarity with SQL/NoSQL databases.
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Strong analytical and statistical skills to interpret and derive insights from data.
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Hands-on experience creating visualizations using Matplotlib, Seaborn, Plotly, or similar tools.
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Ability to think creatively and solve problems in a dynamic, fast-paced environment.
Why This Opportunity?
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High Impact Role: Your insights will play a direct role in shaping AI-driven products and decision-making.
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Great Culture: A collaborative team that values learning, data-driven thinking, and innovation.
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Career Growth: Continuous learning support through training programs, workshops, and conferences.
Company Profile
The client is a software company (SaaS) that helps brands predict demand, manage inventory, and automate parts of their supply-ch---n using ---/ML so they don’t run out of stock and don’t carry too much extra inventory.
Key points:
The product is built for demand forecasting, inventory planning, workflow automation for supply ch---n.
They target brands, especially “D2C” (Direct to Consumer) brands and SMBs (Small & Medium Businesses).
They emphasize solving supply-ch---n p---n-points for fast-growing brands: e.g., reducing “stock-outs”, automating workflows, giving real-time visibility across channels.
They integrate with the brand’s existing systems (ERPs, online stores, warehouses) and provide dashboards/insights
Apply Now
- Interested candidates are requested to apply for this job.
- Recruiters will evaluate your candidature and will get in touch with you.