Project Manager

EXL; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

EXL in New York seeks a data professional to derive business and data requirements, build data tables and pivots, and develop dashboards for in-depth descriptive analysis. You will design, deploy, and validate machine learning models including regression, classification, clustering, and time-series forecasting using SQL, Python, AI, and ML techniques.

The role includes leading data preprocessing, feature engineering, validation, and QA to ensure accuracy, plus developing automated reporting and

Qualifications

• Derive business and data requirements from stakeholders.
• Create data tables, pivots, and visualizations for descriptive analysis.
• Design and deploy machine learning models including regression, classification, clustering, and time-series forecasting.

Responsibilities

• Lead data preprocessing, feature engineering, validation and QA.
• Develop automated reporting solutions and KPI monitoring dashboards.
• Communicate insights to drive measurable business outcomes.

Skills

SQL

Python

AI/ML

Descriptive analytics

Tools

Looker

Power BI

Tableau

Job description

Job DescriptionDerive business and data requirements of various business stakeholders and create data tables, pivots, visualizations for in-depth descriptive analysis. Define project deliverables, milestones, success metrics, and technical standards (data sources, modeling approach, validation), ensuring on-time and high-quality delivery. Design, develop, and deploy machine learning models including regression, classification, clustering, and time-series forecasting using analytics tools and techniques like SQL, Python, AI, ML, etc. to address various business problems. Lead data preprocessing, feature engineering, validation, and quality assurance to ensure accuracy and reliability of analytical outputs. Develop automated reporting solutions, interactive dashboards, and KPI monitoring tools using Looker, Power BI, Tableau, or similar visualization platforms and communicate insights that drive measurable outcomes.