Senior Analytics Consultant

EXL

. Design and develop scalable tools enabling organizationwide data quality checks and supporting evolving business definitions .

Posted 11/10/2026full-timeNew York City • New York • United StatesSenior💰 $173,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and analytics, with a strong focus on developing scalable data pipelines and executing large-scale data processing workflows. Proficient in presenting data-driven insights to senior leadership and managing project deliverables effectively.

Highest-signal resume keywords

Data EngineeringPython ProgrammingSQL ProficiencySpark FrameworkProject Delivery

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData Pipeline DevelopmentStatistical MethodologiesData Architecture DocumentationData TransformationData Quality ChecksData ProcessingData ExtractionData UnderstandingBig Data Processing

Soft Skills

Client EngagementPresentation SkillsProblem StructuringFeedback FacilitationTask Management

Tools & Technologies

EXL Analytics MethodologiesData Engineering FrameworksLicensed Software

Industry Keywords

Data AnalyticsBusiness DefinitionsData InsightsScalable ToolsProcess Efficiency

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

Design and develop scalable tools enabling organizationwide data quality checks and supporting evolving business definitions
Build reliable and adaptable software to streamline processes and enhance efficiency across diverse use cases
Work with clients to define business challenges, gather requirements, and deliver comprehensive data analysis and insights
Create data-driven presentations and present findings to senior executives
Execute end-to-end, large-scale data processing and analytical workflows using SQL, Python, Spark, data engineering frameworks, and statistical methodologies
Use EXL analytics methodologies, analysis tools, and licensed software for data extraction, data understanding, Big Data processing, and production deployment
Lead projects and ensure tasks are managed and deliverables are met
Facilitate client feedback sessions to refine problem structuring and improve output quality
Position may work at various and unanticipated worksites throughout the United States

Requirements

What you’ll need

Master’s degree in Statistics, Computer Science, Mathematics, or a related field
Four (4) years of experience in data engineering and analytics
At least three (3) years of experience coding with Python, SQL, Spark, and SAS
At least three (3) years of experience developing and maintaining scalable data pipelines for data collection, transformation, and storage
At least three (3) years of experience with project delivery, including planning, requirements gathering, design, development, and testing
At least three (3) years of experience presenting findings and insights to senior leadership
At least three (3) years of experience maintaining documentation for data architecture, data flows, and processes
Ability to work 40 hours/week, 9:00am-5:00pm

Benefits

Comp & perks

Telecommuting permitted
40 hours/week, 9:00am-5:00pm
Employee referral program
EEO/Minorities/Females/Vets/Disabilities