About Cityfurnish:
Cityfurnish is a leading provider of furniture and appliance rentals, offering affordable and flexible solutions to individuals and businesses. We aim to revolutionize the way people furnish their spaces with high-quality products and customer-centric services. Join us and contribute to shaping the future of the furniture rental industry!
About the Role
We are looking for a Data Analytics – AI Specialist who can bridge business operations with data-driven decision-making. This role will focus on leveraging data analytics, automation, and AI tools to optimize processes, improve efficiency, and drive strategic insights across functions such as operations, supply chain, customer experience, and growth.
Key Responsibilities
Analyze large datasets to identify trends, patterns, and actionable insights
Build dashboards and reports for business teams (Operations, Supply Chain, Finance, etc.)
Develop predictive models to forecast demand, inventory, and operational requirements
Use AI tools and frameworks to automate repetitive processes and improve efficiency
Work closely with cross-functional teams to understand business problems and translate them into data solutions
Monitor key business KPIs and recommend improvements based on data insights
Clean, structure, and manage data for accuracy and usability
Implement data-driven strategies to reduce costs and improve customer experience
Key Requirements
Bachelor’s degree in Engineering, Data Science, Statistics, or related field
1–4 years of experience in Data Analytics / AI / Business Intelligence
Strong knowledge of SQL, Excel, and Python (Pandas, NumPy)
Experience with visualization tools (Power BI, Tableau, or similar)
Basic understanding of Machine Learning concepts (regression, classification, clustering)
Familiarity with AI tools (ChatGPT APIs, automation tools, etc.) is a plus
Strong analytical thinking and problem-solving skills
Good communication skills with ability to work with non-technical teams
Preferred Qualifications
Experience in startups or operations-heavy environments
Exposure to supply chain, logistics, or marketplace business models
Hands-on experience with automation tools (Zapier, Make, etc.)
What We Offer
Opportunity to work on real-world, high-impact business problems
Fast-paced startup environment with high ownership
Exposure to multiple business functions
Growth opportunities in data, AI, and business strategy