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Senior Data Analyst, Marketing Analytics

Reads like an Analytics Engineer role: dbt models and clean tables.

Fully Remote / within USA

Live, first seen by us 61 days ago
Pay
$75,000–90,000Pay period needs review — pay source
Salary Description $75,000 - $90,000 k / annual salary
Read the full posting
Work setting
Working pattern needs review — work setting source
Listed location: Fully Remote / within USA
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting
  • Design and maintain BigQuery data models for lead and click reporting

  • Turn Performance Marketing business questions into prioritized technical requirements

  • Manage data model requirements through engineering sprint cycles

  • Build reporting solutions on production-ready data models

  • Train and mentor junior analysts

From the employer’s posting
partner with data engineering to design and maintain BigQuery data models
translate business questions into technical requirements, and prioritize what gets built first based on business impact
Manage prioritized data model requirements through engineering sprint cycles
Develop and deliver functional reporting solutions that analyze business functions, key operations, and performance metrics using underlying, production-ready data models
Train and mentor junior analysts, providing guidance and support to foster their professional growth

What you’ll bring

All qualifications

Preferred experience

  • Experience in performance marketing analytics (junior or senior level) — lead/click generation environments strongly preferred
  • Experience partnering with data engineers or technical teams on data pipeline/model requirements
  • Prior experience acting as a business/technical translator between a marketing function and an engineering resource
Qualification wording
Experience in performance marketing analytics (junior or senior level) — lead/click generation environments strongly preferred
Experience partnering with data engineers or technical teams on data pipeline/model requirements
Prior experience acting as a business/technical translator between a marketing function and an engineering resource
Education & alternatives
EDUCATION, EXPERIENCE, LICENSES OR CERTIFICATIONS - Bachelor’s Degree in Statistics, Mathematics, Data Science, Economics, Computer Science, or another quantitative field, or equivalent relevant experience - 4+ years in an analytical role
Apply at Archer Education

Posting record

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Status in our records
Live
First seen by us
Sep 4, 202661 days ago
Recorded sightings
30
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$122K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 321 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 61

Up longer than most. Similar jobs usually come down between day 6 and day 47.

From 1,424 similar postings that came down. Coming down is not always a hire.

Archer Education is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SQL
  • BigQuery
Where the posting names them
- Self-motivated and proactive, capable of managing multiple projects under tight deadlines - Proficiency in MS Office Suite, Google Suite, and SQL - Adaptive to a complex and changing environment
THE ROLE The Senior Data Analyst is a proactive and take-charge professional responsible for leading cross-functional initiatives and managing projects with minimal supervision. In this role, they partner with data engineering to design and maintain BigQuery data models for our Performance Marketing (lead and click generation) business, a lead generation and click marketplace that connects prospective students with online higher education programs. This person will be responsible for laying the foundation for both automated reporting and future AI-agent-driven, self-service data exploration for the Performance Marketing team. This requires strong communication, analytical, organizational, and problem-solving skills to identify gaps and opportunities and drive continuous improvement, while owning specific workflows and reporting practices. The Senior Data Analyst will support strategic business initiatives through detailed data analysis and report development while taking ownership of specific workflows and fostering robust data and reporting practices.
DUTIES/RESPONSIBILITIES - Data Model Strategy & Design: Partner with a data engineering to architect and maintain BigQuery data frameworks and models that support performance marketing lead/click reporting, structured to serve both immediate reporting needs and future AI-agent consumption - Requirements Gathering & Prioritization: Collaborate directly with the internal Performance Marketing team to identify and document data needs, translate business questions into technical requirements, and prioritize what gets built first based on business impact
- Prior experience acting as a business/technical translator between a marketing function and an engineering resource - Hands-on BigQuery development experience, beyond reporting/dashboard consumption WORKING CONDITIONS

Your next step

Complete your application on recruiting.paylocity.com. The employer’s form will show what is required.

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Already applied? Track this application

Demand for Analytics Engineer roles

New Analytics Engineer postings at the employers we follow are down 9% over the last 5 weeks compared with the 5 before.

Weekly new Analytics Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 96, the most 173, and the latest week had 96.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Description

THE COMPANY 


Archer Education is a pioneer in higher education transformation. Founded in 2006 by innovators who brought their dot-com startup expertise to modernize the academic landscape, what began as a proprietary search engine that matched students with educational opportunities evolved into a comprehensive strategic partner for universities navigating the complexities of online learning.


We're driven by a fundamental belief that online higher education needs a more effective and sustainable approach - one that empowers institutions rather than replaces their expertise. At the heart of our work is the Online Growth Enablement (OGE) model, a flexible, scalable partnership framework that helps institutions boost enrollments, expand their team's capabilities, maintain control over their unique mission, and build sustainable growth for the long term.


THE ROLE 


The Senior Data Analyst is a proactive and take-charge professional responsible for leading cross-functional initiatives and managing projects with minimal supervision. In this role, they partner with data engineering to design and maintain BigQuery data models for our Performance Marketing (lead and click generation) business, a lead generation and click marketplace that connects prospective students with online higher education programs. This person will be responsible for laying the foundation for both automated reporting and future AI-agent-driven, self-service data exploration for the Performance Marketing team.

This requires strong communication, analytical, organizational, and problem-solving skills to identify gaps and opportunities and drive continuous improvement, while owning specific workflows and reporting practices. The Senior Data Analyst will support strategic business initiatives through detailed data analysis and report development while taking ownership of specific workflows and fostering robust data and reporting practices.


DUTIES/RESPONSIBILITIES

  • Data Model Strategy & Design: Partner with a data engineering to architect and maintain BigQuery data frameworks and models that support performance marketing lead/click reporting, structured to serve both immediate reporting needs and future AI-agent consumption
  • Requirements Gathering & Prioritization: Collaborate directly with the internal Performance Marketing team to identify and document data needs, translate business questions into technical requirements, and prioritize what gets built first based on business impact
  • Sprint Delivery Management: Manage prioritized data model requirements through engineering sprint cycles, serving as the primary liaison between Performance Marketing's analytics and reporting needs and data engineering build capacity
  • Reporting Development: Develop and deliver functional reporting solutions that analyze business functions, key operations, and performance metrics using underlying, production-ready data models
  • Ad Hoc Analysis: Respond to ad hoc data and reporting requests from Performance Marketing and Managed Services leadership as they arise
  • Quality Assurance: Ensure that all deliverables meet high standards of quality, accuracy, and relevance

LEADERSHIP RESPONSABILITIES

  • Train and mentor junior analysts, providing guidance and support to foster their professional growth
  • Provide work guidance and support, including but not limited to troubleshooting errors and collaborating on solutions within and beyond the analyst team

REQUIRED KNOWLEDGE/SKILLS/ABILITIES 

  • Working knowledge of performance marketing performance metrics (leads, clicks, conversion/click-through rate, cost-per-lead, attribution) and how they translate into data model design
  • Ability to design reusable, scalable data structures rather than one-off reports
  • Familiarity with sprint-based delivery (Agile/Scrum) and the ability to write clear technical requirements a data engineer can build against
  • Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to a varied audience
  • Strong interpersonal skills, with the ability to collaborate effectively with cross-functional teams
  • Exceptional analytical, problem-solving, and decision-making skills
  • Robust quality control skills to ensure the highest standards of accuracy and reliability
  • Self-motivated and proactive, capable of managing multiple projects under tight deadlines
  • Proficiency in MS Office Suite, Google Suite, and SQL
  • Adaptive to a complex and changing environment

EDUCATION, EXPERIENCE, LICENSES OR CERTIFICATIONS

  • Bachelor’s Degree in Statistics, Mathematics, Data Science, Economics, Computer Science, or another quantitative field, or equivalent relevant experience 
  • 4+ years in an analytical role

PREFERRED QUALIFICATIONS 

  • Experience in performance marketing analytics (junior or senior level) — lead/click generation environments strongly preferred
  • Experience partnering with data engineers or technical teams on data pipeline/model requirements
  • Exposure to AI-assisted analytics tools, or interest in how AI agents can be trained against structured data models
  • Prior experience acting as a business/technical translator between a marketing function and an engineering resource
  • Hands-on BigQuery development experience, beyond reporting/dashboard consumption

WORKING CONDITIONS 

  • No travel is required, but optional travel is encouraged from time to time for team building and in person strategy/planning sessions

THE BENEFITS


At Archer, we believe empowered employees have the most fun and do their best work, so we strive to offer a competitive benefits package to allow just that. Our comprehensive benefits package includes medical, dental and vision plans, as well as paid time off and sick days. Here are just a few more of the benefits you’ll enjoy as an Archer team member.

  • Invest in your future: 401k plans and a full contribution match up to 4%.
  • Prioritize your family: Up to 12 weeks of parental leave with 6 weeks paid, following the birth, adoption, or foster care placement of a child.
  • Never stop learning: Receive up to $5,250 per year in tuition reimbursement for continuing education.
  • Balance work and life: We offer a flexible working environment and schedule that empowers you to do your best work. Our teams work across all time zones in the US. 

Visit archeredu.com to learn more.


** Please note that all legitimate Archer recruiting communications come exclusively from official @archeredu.com email addresses. Archer will never request payment or personal financial information at any stage of the hiring process. When in doubt, candidates are encouraged to apply directly through Archer’s official careers page.

Salary Description

$75,000 - $90,000 k / annual salary
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Pay
Salary Description $75,000 - $90,000 k / annual salary
Location & working pattern

Fully Remote / within USA

Working pattern and location restrictions need checking in the full posting.

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