Senior Analytics Engineer

EXL

Senior Analytics Engineer building scalable metrics, data products, and measurement frameworks for EXL’s client product analytics teams. Supporting experimentation, data quality, and data-driven decisions across product workstreams.

Posted 8/6/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Analytics Engineering and Product Analytics, with a strong focus on developing scalable solutions using Databricks and advanced SQL. Proficient in metrics-as-code frameworks and capable of translating business needs into actionable insights through effective data modeling and governance.

Highest-signal resume keywords

Advanced SQL ExpertiseDatabricks ExperienceMetrics-As-Code FrameworksPython ProficiencyGit and CI/CD Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics EngineeringProduct AnalyticsData AnalyticsBusiness IntelligenceMetrics DefinitionData Pipeline DevelopmentData ValidationData ModelingKPI DevelopmentBehavioral Analysis

Soft Skills

CollaborationStakeholder EngagementProblem-SolvingCommunication

Tools & Technologies

DatabricksUnity CatalogDelta LakeDbtCubeMetricFlowGitCI/CD Pipelines

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

Agile DeliveryEvent TrackingCustomer Journey AnalysisData GovernancePerformance Indicators

Tech Stack

Tools & technologies

CloudPythonSQLUnity

About the role

Key responsibilities & impact

Design, build, and maintain scalable analytics engineering solutions using Databricks, Unity Catalog, and modern data platforms
Develop and manage metrics-as-code frameworks for standardized, governed, reusable business metrics
Implement metric, cohort, segment, and KPI definitions in semantic layers and measurement platforms
Build and optimize Workstream Scorecards connecting objectives, business drivers, performance indicators, and actionable insights
Develop automated data pipelines for metric refreshes, data validation, and reporting workflows
Create reusable analytics assets, frameworks, and data products to accelerate adoption and decision-making
Establish practices for data modeling, metric governance, version control, testing, and deployment
Partner with Data Engineering on source data requirements, event tracking standards, and instrumentation strategies
Improve data quality, observability, lineage, and governance across analytics environments
Translate business questions into measurable product KPIs and actionable insights with client stakeholders
Develop product measurement frameworks for engagement, retention, acquisition, conversion, and customer lifecycle performance
Support experimentation through metric definition, experiment design consultation, and outcome measurement
Build and maintain customer cohorts, segmentation frameworks, and behavioral analysis models
Champion CI/CD, code reviews, testing, and release management in analytics development
Manage Git-based development workflows and deployment pipelines
Document metric definitions, business logic, transformation rules, and data quality considerations

Requirements

What you’ll need

Bachelor's Degree
4+ years of experience in Analytics Engineering, Product Analytics, Data Analytics, or Business Intelligence
Advanced SQL expertise analyzing large-scale event, clickstream, behavioral, or customer interaction data
Hands-on experience with Databricks, Unity Catalog, Delta Lake, and modern cloud data platforms
Experience with metrics-as-code and semantic layer technologies such as dbt, Cube, MetricFlow, or similar frameworks
Proficiency in Python for analytics, data processing, automation, and testing
Experience with Git, CI/CD pipelines, code repositories, and software development lifecycle practices
Understanding of product analytics concepts including funnels, cohorts, DAU/WAU/MAU, retention, engagement, conversion, and customer journey analysis
Experience partnering with product, engineering, and business stakeholders to deliver analytical solutions
Experience working in agile delivery environments and distributed teams

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EXL Website LinkedIn All Job Openings 10,000+ employees 🏥 Healthcare 🛡️ Insurance 📦 Logistics 💰 $2M Venture Round on 2015-01 Healthcare
Insurance
Logistics EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data. Senior Analytics Engineer 🔥 21 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 📊 Analytics Engineer Cloud Python SQL Unity Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, build, and maintain scalable analytics engineering solutions using Databricks, Unity Catalog, and modern data platforms
Develop and manage metrics-as-code frameworks for standardized, governed, reusable business metrics
Implement metric, cohort, segment, and KPI definitions in semantic layers and measurement platforms
Build and optimize Workstream Scorecards connecting objectives, business drivers, performance indicators, and actionable insights
Develop automated data pipelines for metric refreshes, data validation, and reporting workflows
Create reusable analytics assets, frameworks, and data products to accelerate adoption and decision-making
Establish practices for data modeling, metric governance, version control, testing, and deployment
Partner with Data Engineering on source data requirements, event tracking standards, and instrumentation strategies
Improve data quality, observability, lineage, and governance across analytics environments
Translate business questions into measurable product KPIs and actionable insights with client stakeholders
Develop product measurement frameworks for engagement, retention, acquisition, conversion, and customer lifecycle performance
Support experimentation through metric definition, experiment design consultation, and outcome measurement
Build and maintain customer cohorts, segmentation frameworks, and behavioral analysis models
Champion CI/CD, code reviews, testing, and release management in analytics development
Manage Git-based development workflows and deployment pipelines
Document metric definitions, business logic, transformation rules, and data quality considerations 🎯 Requirements
Bachelor's Degree
4+ years of experience in Analytics Engineering, Product Analytics, Data Analytics, or Business Intelligence
Advanced SQL expertise analyzing large-scale event, clickstream, behavioral, or customer interaction data
Hands-on experience with Databricks, Unity Catalog, Delta Lake, and modern cloud data platforms
Experience with metrics-as-code and semantic layer technologies such as dbt, Cube, MetricFlow, or similar frameworks
Proficiency in Python for analytics, data processing, automation, and testing
Experience with Git, CI/CD pipelines, code repositories, and software development lifecycle practices
Understanding of product analytics concepts including funnels, cohorts, DAU/WAU/MAU, retention, engagement, conversion, and customer journey analysis
Experience partnering with product, engineering, and business stakeholders to deliver analytical solutions
Experience working in agile delivery environments and distributed teams Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Solutions Engineer, AI Data – Model Evaluation Solutions 🔥 1 hour ago Argos Multilingual 201 - 500 💼 Consulting 🏥 Healthcare 🏭 Manufacturing Website LinkedIn All Job Openings Senior Solutions Engineer shaping scalable AI data and model evaluation solutions for Argos. Translating complex customer requirements into pilots, proposals, workflows, and delivery plans. 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 📊 Analytics Engineer Cloud Java JavaScript PHP Python SQL Senior Analytics Engineer 🔥 21 hours ago Digible, Inc 51 - 200 📣 Marketing 🏠 Real Estate ☁️ SaaS Website LinkedIn All Job Openings Senior Analytics Engineer building governed Silver/Gold data models and BI for Digible’s multifamily digital marketing platform. Owning semantic-layer standards, warehouse performance, and trusted self-serve analytics. 🇺🇸 United States – Remote 💵 $140k - $160k / year 💰 $250k Seed Round on 2018-04 ⏰ Full Time 🟠 Senior 📊 Analytics Engineer BigQuery Cloud Python SQL Tableau Medical Analytics Data Engineer 🕒 Yesterday Pfizer 10,000+ employees 💼 Consulting 📣 Marketing 💊 Pharmaceuticals Website LinkedIn All Job Openings Medical analytics data engineer building healthcare data infrastructure for Pfizer. Developing pipelines, data products, and analytics tools supporting care-gap and HCP prioritization models. 🇺🇸 United States – Remote 💵 $124.4k - $207.4k / year 💰 Post-IPO Debt on 2023-05 ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Analytics Engineer 🦅 H1B Visa Sponsor Airflow Apache Drupal Google Cloud Platform JavaScript jQuery Kafka Analytics Engineer, Data 🕒 Yesterday Tailscale 51 - 200 ☁️ SaaS 🔐 Security 📡 Telecommunications Website LinkedIn All Job Openings Analytics Engineer building scalable data models and pipelines for Tailscale’s secure networking platform. Supporting reporting, analysis, and decisions across Finance, Engineering, Sales, and other teams. 🇺🇸 United States – Remote 💵 $152k - $190k / year 💰 $100M Series B on 2022-05 ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Analytics Engineer SQL Medical Analytics Data Engineer 🕒 Yesterday Pfizer 10,000+ employees 💼 Consulting 📣 Marketing 💊 Pharmaceuticals Website LinkedIn All Job Openings Medical analytics data engineer building healthcare data infrastructure and analytical tools for Pfizer. Supporting data scientists with scalable pipelines, models, and digital analytics. 🇺🇸 United States – Remote 💵 $124.4k - $207.4k / year 💰 Post-IPO Debt on 2023-05 ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Analytics Engineer 🦅 H1B Visa Sponsor Airflow Apache Drupal Google Cloud Platform JavaScript Kafka View More Analytics Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates About us Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs