• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 6th Feb 2025

- Analyze large, complex datasets to identify smartphone market trends, patterns, and opportunities (Sell-In, Sell-Out, Installed base, switching/churn)

- Ensure the quality and integrity of data for analysis and reporting

- Develop dashboards, reports, and visualizations to communicate insights to stakeholders effectively.

- Perform root-cause/scenario analyses and recommend data-driven solutions.

- Monitor key performance indicators (KPIs), develop targets and suggest strategies to improve results

• Predictive Modeling & Machine Learning:

- Design and implement predictive models to forecast smartphone market demand (TAM, in volume and revenue)

- Assess the significance and impact of individual variables (macroeconomics variables, new model launches, holidays and others) on predictive outcomes, providing actionable insights to business stakeholders

- Leverage machine learning algorithms to build robust models that optimize accuracy and scalability

- Interpret and explain the contribution of key variables to predictions, helping teams understand drivers of growth or decline.

• AI-Powered Automation and Process Improvement:

- Identify opportunities to implement AI-driven solutions to automate manual processes and improve efficiency.

- Develop and deploy machine learning models and AI tools to optimize workflows and enhance scalability.

• Business Strategy & Collaboration:

- Collaborate with cross-functional teams to define business problems and translate them into analytical solutions.

- Provide strategic recommendations based on data analysis to improve operations, customer experience, and revenue growth.

- Conduct market analysis and competitor benchmarking to support business planning.