Mid Level Lead Analytics Engineer Jobs

Mid level lead analytics engineer jobs go to professionals ready to own end-to-end data pipelines, mentor junior analysts, and shape analytical strategy with limited oversight. Openings are concentrated across Technology & Software, Science & Research, and Chemicals & Materials, with 80% remote or hybrid availability, and employers like Lyft, Udemy, and Corning hiring at this level now.

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Overview

Open roles12
Top stateCalifornia
Top employerLyft
Top citySan Francisco, CA
Work type70% Hybrid
Top industryTechnology

Showing 5 of 12+ Mid Level Lead Analytics Engineer jobs

Data Analytics & Reporting Lead
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Added 1w ago
Data Analytics & Reporting Lead
Ascend Technologies
Remote
Software Engineering
Solutions Engineering & Architecture
Technical Program Management
$90k - $110k/yr
Microsoft Certified: Power BI Data Analyst Associate

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Analytics and Modeling Lead
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Added 2w ago
Analytics and Modeling Lead
Corning
Corning, New York
Business Analysis
Strategy & Corporate Development
Project & Program Management
Business Strategy
$95k - $131k/yr
Remote (US)
Bachelor's
10,000+

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Lead Analyst – Originations Analytics
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Added 2w ago
Lead Analyst – Originations Analytics
OneMain Financial
Wilmington, Delaware
Business Development
Product Management
Project Management
Hybrid
Bachelor's degree in statistics
5,001-10,000

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Lead Analyst, Site Analytics
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Added 2mo ago
Lead Analyst, Site Analytics
EverQuote
Cambridge, Massachusetts
Business Analysis
Strategy & Corporate Development
Data Science & Analytics
Customer Success
Project & Program Management
Business Strategy
Data Science
Hybrid
Bachelor's

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Lead Analytics Consultant
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Added 3mo ago
Lead Analytics Consultant
Bounteous
Alabama
Business Analysis
Strategy & Corporate Development
Consulting & Professional Services
Data Science & Analytics
Business Analyst
Business Strategy
Data Science
Data Analytics
On-Site
None

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Mid Level Lead Analytics Engineer Job Market

Who's Hiring

Lyft4 open roles
Udemy1 open role
Corning1 open role

Top Industries Hiring

  • Technology & Software
  • Science & Research
  • Chemicals & Materials
  • Electronics & Hardware
  • Marketing & Advertising

Mid Level Lead Analytics Engineer Jobs: Frequently Asked Questions

How do I get a mid level lead analytics engineer job?

Position your experience around ownership, not just contribution. Highlight projects where you designed or rebuilt a data model end to end, led a cross-functional analysis, or made a tooling decision that stuck. Recruiters at this level want to see that you've operated independently, communicated findings to non-technical stakeholders, and have a point of view on analytics infrastructure choices.

Which companies hire mid level lead analytics engineers?

Companies hiring mid level lead analytics engineers right now include Lyft, Udemy, and Corning, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers both fast-growing technology companies scaling their data teams and established enterprises modernizing legacy reporting infrastructure.

Are there remote mid level lead analytics engineer jobs?

Yes, remote work is well established in analytics engineering. About 80% of mid level lead analytics engineer openings are remote or hybrid as of November 2026, reflecting how broadly companies have accepted distributed data teams. Hybrid arrangements are common at larger employers who want some in-person collaboration for cross-functional planning and stakeholder meetings.

How do I move up to a mid level lead analytics engineer role?

The path runs through deepening ownership over time. Early in your career, focus on executing well on assigned work, then push toward designing solutions yourself. Building expertise in a modern analytics stack like dbt or Spark, taking on mentorship informally, and delivering measurable business impact, such as a dashboard that influenced a product decision, signals readiness for the mid level title.

Which industries hire the most mid level lead analytics engineers?

Mid Level lead analytics engineer roles concentrate in Technology & Software, Science & Research, and Chemicals & Materials, based on current listings on Migrate Mate as of November 2026. These sectors generate the data volume and decision-making complexity that makes a dedicated analytics engineering layer economically valuable, driving consistent demand for professionals who can own that layer independently.