Manager

EXL

Data Analytics Manager managing project plans, client feedback, and analytics delivery at EXLService.com. Applying SQL, ETL, big data, and statistical modeling tools.

Posted 9/4/2026full-timeNew York City • New York • 🇺🇸 United StatesJuniorMid-Level💰 $100,000 - $110,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, machine learning, and data engineering, utilizing tools such as SQL, SAS, and R for data processing and visualization. Proven ability to manage project tasks, coordinate team efforts, and communicate findings effectively through presentations.

Highest-signal resume keywords

Data AnalysisSQL ProficiencyETL Tools ExperienceMachine Learning ExpertiseData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisMachine LearningSQLETLData WarehousingData ProcessingStatistical AnalysisPerformance TuningData ExtractionModel Development

Soft Skills

CommunicationTeam CoordinationClient Feedback Facilitation

Tools & Technologies

SASRSQLHiveTeradataHadoopMicrosoft OfficeExcelPowerPointInformatica

Industry Keywords

Data EngineeringData Warehousing ConceptsRelational DatabasesOraclePostgreSQL

Tech Stack

Tools & technologies

ETLHadoopInformaticaOraclePostgresSQL

About the role

Key responsibilities & impact

Manage project tasks and project plans
Write communications and decks
Coordinate sub-team efforts and deliver outputs
Facilitate and gather client feedback on problem structuring
Manage the frequency of feedback loops with offshore resources
Import raw data from client data warehouses and databases into statistical analysis software
Process data through coding, compilation, calculation, tabulation, and verification
Make recommendations to management through presentations
Use visualization software, charts, tables, and other tools to highlight trends and recommendations
Review and advise on team members’ data analysis, results, interim and final output files, and recommendations
Use SAS, R, SQL, Hive, Teradata, Hadoop, Microsoft Office, Excel, and PowerPoint for data extraction, data understanding, variable reduction, big data processing, data analysis, model development, model stabilization, model validation, summarization, visualization, and presentation
Position may work at various and unanticipated worksites throughout the United States

Requirements

What you’ll need

Bachelor’s degree in Engineering (any), Computer Science, or a directly related field
At least two (2) years of experience in a machine learning or data engineering field
At least two (2) years of experience with SQL, including complex queries and stored procedures
At least two (2) years of experience with ETL tools, including Informatica and DataStage
Experience with relational databases, including Oracle and PostgreSQL
Familiarity with data warehousing concepts
Experience with performance tuning of ETL jobs and SQL queries
Knowledge of computer programming and computer languages
English-language resume and cover letter application materials are implied by the English posting but no explicit language requirement is stated

Benefits

Comp & perks

Telecommuting permitted
40 hours/week schedule
Employee referral program