Project Manager

ExlService Holdings, Inc.; New York (NY); On-site; USD 90,000 - 140,000; Full time

Job summary

EXLService.com, LLC is seeking a Project Manager to drive data analytics initiatives in New York. You will gather business and data requirements, define milestones, and oversee model development and validation.

Responsibilities include building automated reports and dashboards to monitor KPIs, communicating insights to stakeholders, and ensuring timely, high-quality delivery of analytical solutions.

Qualifications

• Experience building data models and dashboards.
• Strong SQL and Python programming skills.
• Familiarity with ML concepts and analytics.
• Ability to translate business questions into data solutions.

Responsibilities

• Derive business and data requirements from stakeholders.
• Define deliverables, milestones, success metrics, and data standards.
• Design, develop and deploy ML models (regression, classification, clustering, time-series).
• Lead data preprocessing, feature engineering, validation and QA.
• Develop automated reports and interactive dashboards to monitor KPIs.

Skills

SQL

Python

ML

Data Visualization

Education

Bachelor's degree in a related field

Tools

Looker

Power BI

Tableau

Job description

Company

EXLService.com, LLC

Location

New York, NY

Position Title

Project Manager

Job Description

Derive 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.