Analytics Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌵 Arizona, Colorado, +26 more states – Remote

🌵 Arizona – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote

💵 $96k - $120k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Niche

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2002

📚 Education

🏪 Marketplace

🤝 Non-profit

Education • Marketplace • Non-profit

Niche is a platform that simplifies the search for educational institutions, ranging from K-12 schools to colleges and graduate schools. It provides users with data, reviews, and insights to help them find schools that fit their individual needs. Niche offers tools for comparing schools, tracking the application process, and accessing scholarships and financial aid information, making it easier for students and families to navigate the education landscape.

📋 Description

• Build and support scalable data models that translate raw data into clean, business-ready datasets • Ensure data accuracy, documentation, observability, semantic consistency, and performance • Develop and maintain modular dbt models, semantic layers, and BI views for business analysts and executive stakeholders • Understand evolving business trends, business logic, and cross-functional partnerships to embed context and governance in the data layer • Develop, document, and maintain Kimball dimensional models, semantic definitions, warehouse transformation logic, and BI datasets • Design, build, and maintain version-controlled data models supporting self-service analytics and reporting • Ensure data quality and pipeline accuracy through automated dbt testing, lineage tracking, performance tuning, and proactive alerting • Improve complex business logic and fragmented queries by standardizing analyst requests into documented semantic models • Integrate data governance, metric standardization, documentation, single-source-of-truth definitions, and secure data access • Collaborate with data team members and stakeholders; participate in standups, planning, and retrospectives • Troubleshoot data logic issues and modeling errors and participate in analytics support activities • Identify improvements to data transformation processes and semantic definitions • Contribute to the analytics platform, dbt models, semantic layers, and BI reporting frameworks • Independently own analytics engineering workstreams and modeling roadmap items • Develop domain expertise in business metrics and data definitions

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field • 3-5 years of experience in analytics engineering, data engineering, or data science • Experience building, testing, and maintaining production-grade data transformation workflows and semantic models • Experience with dimensional data modeling techniques, including Star Schema and Kimball methodology • Experience using dbt or semantic tools to define, document, and communicate metric logic • Experience modeling business domain data, product usage metrics, and semi-structured JSON data for BI consumption • Software engineering mindset applied to data, including Git, automated testing, CI/CD, data modeling, and code documentation • Proficiency in advanced SQL, dbt, Snowflake, Python, Git, and modern BI tools such as Looker or Tableau • Experience with Google Analytics, marketing, advertising and social media platforms, CRM/Salesforce, and BI visualization tools • Knowledge of the modern data stack, including modeling, semantic layers, testing, documentation, governance, and BI integration • Knowledge of dimensional data modeling techniques, including Kimball methodology, Star Schema, and Snowflake Schema • Must be legally authorized to work in the United States without sponsorship now or in the future • Candidates must be based in one of the listed hiring states

🏖️ Benefits

• Annual Bonus and Stock Option Program • Fully flexible workforce: remote work, Pittsburgh office, or a combination • 100% paid employee health plan, including vision, dental, and supplemental coverage • Flexible Paid Time Off Policy • Work-from-home office stipend • 12 weeks fully paid parental leave for all employees • Short-term disability for birthing parents • 401(k) with employer match • Equal opportunity, inclusive work environment • Remote interviews