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Business Intelligence Analyst - Analytics Engineer Hybrid (USA Remote)

Washington, DC, United States

Live, first seen by us 21 days ago
Pay
$84,225–140,375/year · Base — pay source
Additional Information The expected annual base salary range for this position is: $84,225/year to $140,375/year. This position is bonus eligible / commission-based. Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Migrate legacy Alteryx workflows to dbt data models

  • Monitor and manage data pipelines in Dagster or Airflow

  • Translate technical data into clear business insights for leaders

  • Explore AI/LLM and SageMaker models for churn and lead scoring

  • Provide Tableau visibility into KPIs for ABM and customer health

From the employer’s posting
Lead the migration of legacy workflows from Alteryx to dbt
Manage and monitor data pipelines using Dagster or Airflow
Act as the primary liaison between technical data structures and non-technical leaders.
Collaborate with Product/Engineering to apply Machine Learning (SageMaker) to areas like churn prediction and lead scoring.
Support high-impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into globally symbols KPIs via Tableau.

What you’ll bring

All qualifications

Core experience

  • Experience: 5+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role.
  • Data Modeling: Salesforce-specific data modeling experience.
  • SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery).
Qualification wording
Experience: 5+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role.
Data Modeling: Salesforce-specific data modeling experience.
SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery).
Apply at Turnitin

Posting record

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Status in our records
Live
First seen by us
Oct 13, 202621 days ago
Recorded sightings
32
Last seen by us
Nov 3, 2026
Reposted
once since Oct 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

Lower than most similar jobs

$84.2K–$140K against $122K–$190K, the middle half of what similar US postings state.

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

Time since we first saw it

Day 21

Similar jobs usually come down between day 6 and day 47.

From 1,409 similar postings that came down. Coming down is not always a hire.

Turnitin is hiring

11 open jobs

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

  • Analytics Engineer hiring is picking up
  • Takes jobs down quickly
  • 55% of open jobs were reposted
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.

  • Python
  • SQL
  • BigQuery
  • dbt
  • Redshift
  • SageMaker
  • Snowflake
  • Tableau
  • Airflow
  • Dagster
Where the posting names them
- Alteryx: Experience with Alteryx (highly beneficial for supporting our migration to dbt). - AI/ML: Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker). - Advanced Tableau: Building advanced dashboards and experience with Tableau Online/Server.
- Orchestration Tools: Hands-on experience with Dagster or Airflow. - SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery). - BI Visualization: Experience building stakeholder-facing dashboards in Tableau.
The purpose of this role is to bridge the gap between complex data infrastructure and actionable business strategy. You will provide day-to-day support to Revenue Operations (RevOps), including Sales, Marketing, and Customer Experience leaders. We are currently in an exciting transition, migrating our data workflows from Alteryx to dbt. As a BI Analyst, you will sit at the intersection of data engineering and business analysis. You aren't just a "dashboard builder"; you are an Analytics Engineer who builds robust data models in Redshift, orchestrates workflows via Dagster/Airflow, and works directly with stakeholders to translate technical outputs into business impact. Crucially, you will help us move beyond standard reporting. We are looking for someone genuinely excited about the frontier of AI and LLM capabilities, helping us integrate predictive analytics and machine learning (via Amazon SageMaker) into the RevOps ecosystem.
Key Responsibilities and Outputs - Data Modeling & Migration: Lead the migration of legacy workflows from Alteryx to dbt, ensuring high-quality, documented, and tested data models that serve as a single source of truth. - Orchestration & Pipelines: Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance within our Redshift warehouse.
- Experience: 5+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role. - dbt Expertise: Proven experience building and maintaining production-grade data models using dbt. - Orchestration Tools: Hands-on experience with Dagster or Airflow.
Preferred - Alteryx: Experience with Alteryx (highly beneficial for supporting our migration to dbt). - AI/ML: Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker).
- Data Modeling & Migration: Lead the migration of legacy workflows from Alteryx to dbt, ensuring high-quality, documented, and tested data models that serve as a single source of truth. - Orchestration & Pipelines: Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance within our Redshift warehouse. - Stakeholder Collaboration & Translation: Act as the primary liaison between technical data structures and non-technical leaders. You will translate complex "data speak" into clear insights that highlight ROI and business impact.
We are currently in an exciting transition, migrating our data workflows from Alteryx to dbt. As a BI Analyst, you will sit at the intersection of data engineering and business analysis. You aren't just a "dashboard builder"; you are an Analytics Engineer who builds robust data models in Redshift, orchestrates workflows via Dagster/Airflow, and works directly with stakeholders to translate technical outputs into business impact. Crucially, you will help us move beyond standard reporting. We are looking for someone genuinely excited about the frontier of AI and LLM capabilities, helping us integrate predictive analytics and machine learning (via Amazon SageMaker) into the RevOps ecosystem. Key Responsibilities and Outputs
- Stakeholder Collaboration & Translation: Act as the primary liaison between technical data structures and non-technical leaders. You will translate complex "data speak" into clear insights that highlight ROI and business impact. - AI & Advanced Analytics: Actively explore and implement AI/LLM capabilities to enhance data discovery and predictive modeling. Collaborate with Product/Engineering to apply Machine Learning (SageMaker) to areas like churn prediction and lead scoring. - RevOps Strategy: Support high-impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into globally symbols KPIs via Tableau.
- AI & Advanced Analytics: Actively explore and implement AI/LLM capabilities to enhance data discovery and predictive modeling. Collaborate with Product/Engineering to apply Machine Learning (SageMaker) to areas like churn prediction and lead scoring. - RevOps Strategy: Support high-impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into globally symbols KPIs via Tableau. Proven Characteristics for Success
- SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery). - BI Visualization: Experience building stakeholder-facing dashboards in Tableau. - CRM Knowledge: Familiarity with Salesforce data structures.
- AI/ML: Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker). - Advanced Tableau: Building advanced dashboards and experience with Tableau Online/Server. - Data Modeling: Salesforce-specific data modeling experience.
- dbt Expertise: Proven experience building and maintaining production-grade data models using dbt. - Orchestration Tools: Hands-on experience with Dagster or Airflow. - SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery).

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Has Turnitin posted this job before?

Yes. We’ve followed 10 other Business Intelligence Analyst - Analytics Engineer Hybrid (USA Remote) jobs there since May 2026. 7 came down, usually after about 0 days. 3 are still up.

  1. WashingtonCame down after 19 days, first seen May 8
  2. WashingtonCame down after 0 days, first seen Oct 13
  3. AtlantaCame down after 0 days, first seen Oct 13
  4. DallasCame down after 0 days, first seen Oct 13
  5. ChicagoCame down after 0 days, first seen Oct 13
  6. AtlantaStill up after 22 days, first seen Oct 13
  7. DallasStill up after 22 days, first seen Oct 13
  8. ChicagoStill up after 22 days, first seen Oct 13
  9. This jobUp 22 days so far, first seen Oct 13

Large employers often post one title for several teams, so these can be separate openings.

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 ↗

Job Description

The purpose of this role is to bridge the gap between complex data infrastructure and actionable business strategy. You will provide day-to-day support to Revenue Operations (RevOps), including Sales, Marketing, and Customer Experience leaders.

We are currently in an exciting transition, migrating our data workflows from Alteryx to dbt. As a BI Analyst, you will sit at the intersection of data engineering and business analysis. You aren't just a "dashboard builder"; you are an Analytics Engineer who builds robust data models in Redshift, orchestrates workflows via Dagster/Airflow, and works directly with stakeholders to translate technical outputs into business impact.

Crucially, you will help us move beyond standard reporting. We are looking for someone genuinely excited about the frontier of AI and LLM capabilities, helping us integrate predictive analytics and machine learning (via Amazon SageMaker) into the RevOps ecosystem.

Key Responsibilities and Outputs

  • Data Modeling & Migration: Lead the migration of legacy workflows from Alteryx to dbt, ensuring high-quality, documented, and tested data models that serve as a single source of truth.
  • Orchestration & Pipelines: Manage and monitor data pipelines using Dagster or Airflow to ensure reliability and performance within our Redshift warehouse.
  • Stakeholder Collaboration & Translation: Act as the primary liaison between technical data structures and non-technical leaders. You will translate complex "data speak" into clear insights that highlight ROI and business impact.
  • AI & Advanced Analytics: Actively explore and implement AI/LLM capabilities to enhance data discovery and predictive modeling. Collaborate with Product/Engineering to apply Machine Learning (SageMaker) to areas like churn prediction and lead scoring.
  • RevOps Strategy: Support high-impact initiatives such as Account Based Marketing (ABM) and Customer Health scoring by providing visibility into globally symbols KPIs via Tableau.

Proven Characteristics for Success

  • The "Technical Translator": You can explain a join or a latent variable to a Sales Director in a way that makes sense for their quota.
  • Impact-Focused: You don't just deliver data; you deliver the "so what?"
  • AI Enthusiast: You stay up to date with the latest in LLMs and are constantly thinking about how to apply generative AI to analytics workflows.
  • Curiosity & Ownership: You lead with questions and take pride in the "cleanliness" and architecture of your code.

Qualifications

Essential

  • Experience: 5+ years of professional experience in Business Intelligence, Analytics Engineering, or a related data role.
  • dbt Expertise: Proven experience building and maintaining production-grade data models using dbt.
  • Orchestration Tools: Hands-on experience with Dagster or Airflow.
  • SQL & Data Warehousing: Advanced SQL skills and experience with Amazon Redshift (or Snowflake/BigQuery).
  • BI Visualization: Experience building stakeholder-facing dashboards in Tableau.
  • CRM Knowledge: Familiarity with Salesforce data structures.

Preferred

  • Alteryx: Experience with Alteryx (highly beneficial for supporting our migration to dbt).
  • AI/ML: Experience with Python and a strong interest (or portfolio) in LLM applications and Machine Learning (Amazon SageMaker).
  • Advanced Tableau: Building advanced dashboards and experience with Tableau Online/Server.
  • Data Modeling: Salesforce-specific data modeling experience.
  • Big Data: Experience dealing with large (+1M rows) customer engagement datasets.

Additional Information

The expected annual base salary range for this position is: $84,225/year to $140,375/year. This position is bonus eligible / commission-based.

Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered.

Total Rewards @ Turnitin
At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they’re only part of the value you receive in exchange for your work.

Beyond compensation, you’ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You’ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates.

In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life’s challenges. You’ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being.

Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes.

Our Values underpin everything we do.

  • Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do.
  • Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe.
  • Integrity: Integrity is the heartbeat of Turnitin—it is the core of our products, the way we treat each other, and how we work with our customers and vendors.
  • Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it’s hard.
  • One Team: We strive to break down silos, collaborate effectively, and celebrate each others' successes.
  • Global Mindset: We consider different perspectives and celebrate diversity. We are one team. The work we do has an impact on the world.

Global Benefits

  • Remote First Culture
  • Health Care Coverage
  • Education Reimbursement*Competitive Paid Time Off 
  • Self-Care Days
  • National Holidays
  • 2 Founder Days + Juneteenth Observed
  • Paid Volunteer Time Off
  • Charitable Contribution Match
  • Monthly Wellness or Home Office Reimbursement
  • Access to Employee Assistance Program (mental health platform)
  • Parental Leave
  • Retirement Plan with match/contribution

Seeing Beyond the Job Ad
At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad.  We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and unleash your potential alongside us, join our team!

Turnitin, LLC is an Equal Opportunity Employer- vets/disabled. 

Company Description

When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations use our services in more than 185 countries around the world: Turnitin Feedback Studio, Clarity, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Protecting the value of an authentic education is at the heart of who we are.

Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education.

Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines.

Source details

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Pay
Additional Information The expected annual base salary range for this position is: $84,225/year to $140,375/year. This position is bonus eligible / commission-based. Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered.
Location & working pattern

Washington, DC, United States

Beyond compensation, you’ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You’ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates. In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life’s challenges. You’ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes.
More source context
Global Benefits - Remote First Culture - Health Care Coverage

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