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Part Time Dbt Analytics Jobs (NOW HIRING)

Senior Analytics Engineer

New York, NY ยท On-site

$130 - $185K/hr

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Experience building and maintaining dbt projects in a production environment * Hands-on with data ...

Senior Data Analyst, Marketing

New York, NY ยท On-site

$120K - $160K/yr

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... Experience working with modern analytics technologies such as BigQuery, dbt, Airbyte, Omni, Hex, or ...

Data Architect

Albuquerque, NM ยท On-site +1

$61.75 - $79.50/hr

As organizations increasingly rely on cloud computing and advanced analytics, the ability to design ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... DBT), Mindfulness based interventions, and relaxation training. * Lead and/or cofacilitate ... Analytical skills to select and interpret neuropsychological and/or psychological tests assess ...

New

Data Scientist

Fayetteville, NC ยท On-site +1

$99K - $225K/yr

... dbt and Airflow * Experience developing predictive data models, quantitative analyses, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

This is a part time position at 8 hours per week. Why Join AACI? * 403(b) Retirement Plan ... Knowledge of trauma-informed and evidenced-based practices (i.e., CBT, DBT, ACT). * Understanding ...

This is a part time position at 8 hours per week. Why Join AACI? * 403(b) Retirement Plan ... Knowledge of trauma-informed and evidenced-based practices (i.e., CBT, DBT, ACT). * Understanding ...

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Showing results 1-20

Part Time Dbt Analytics information

See salary details

$38K

$63.4K

$104.5K

How much do part time dbt analytics jobs pay per year?

As of Jul 25, 2026, the average yearly pay for part time dbt analytics in the United States is $63,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $70,000.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by part-time DBT analytics professionals, and how can they be managed?

Part-time DBT analytics professionals often face challenges related to balancing workload within limited hours and staying aligned with fast-moving team projects. Managing communication effectively and setting clear expectations with team members is crucial to ensure tasks are completed on time. Additionally, keeping up with frequent updates or changes in the data models and tools used in DBT (Data Build Tool) pipelines can require proactive learning and strong organizational skills. Leveraging documentation, regular check-ins, and utilizing collaboration platforms can help overcome these challenges and maintain productivity.

What is the difference between Part Time Dbt Analytics vs Part Time Data Analyst?

AspectPart Time Dbt AnalyticsPart Time Data Analyst
Required CredentialsKnowledge of Dbt tools, SQL, data modelingSQL, Excel, basic data analysis skills
Work EnvironmentRemote or hybrid, project-basedOffice or remote, routine data tasks
Industry UsageTech, finance, healthcare with data transformation needsVarious industries for data reporting and analysis

Part Time Dbt Analytics focuses on data transformation and modeling using Dbt tools, requiring specific technical skills. In contrast, Part Time Data Analysts perform broader data analysis and reporting tasks. Both roles may be part-time and involve working with data, but Dbt Analytics emphasizes data pipeline development, while Data Analysts focus on interpreting data for insights.

What are the key skills and qualifications needed to thrive as a Part Time DBT Analytics professional, and why are they important?

To thrive as a Part Time DBT Analytics professional, you need a strong foundation in data analysis, SQL, and an understanding of data modeling, often supported by experience in analytics or data science roles. Proficiency with dbt (data build tool), data warehouses like Snowflake or BigQuery, and familiarity with version control systems such as Git are typically required. Attention to detail, problem-solving abilities, and effective communication help translate business needs into actionable analytics solutions. These skills ensure accurate data transformation, reliable analytics workflows, and successful collaboration with both technical and non-technical stakeholders.

What are part time DBT analytics jobs?

Part time DBT analytics jobs involve using dbt (data build tool) to transform, model, and manage data within data warehouses on a part-time basis. Professionals in these roles typically build and maintain data pipelines, write SQL-based data models, and collaborate with data teams to ensure data quality and accessibility. These positions offer flexibility in work hours and are ideal for those who want to balance other commitments while working in analytics engineering. Employers often seek candidates with experience in dbt, SQL, and cloud data platforms, as well as strong analytical and communication skills.
More about Part Time Dbt Analytics jobs
What are the most commonly searched types of Dbt Analytics jobs? The most popular types of Dbt Analytics jobs are:
Infographic showing various Part Time Dbt Analytics job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $63,449 per year, or $30.5 per hour.
Senior Analytics Engineer

Senior Analytics Engineer

Fora

New York, NY โ€ข On-site

$130 - $185K/hr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

About Fora
Fora is the modern travel agency, empowering anyone with a passion for travel to build a thriving advisory business. We're modernizing the $100B+ travel agency industry by combining powerful technology, data, and community to enable thousands of entrepreneurs to build on our platform. Our business-in-a-box platform gives travel entrepreneurs everything they need to launch and scale, from cutting-edge tools and personalized training to a vibrant community and exclusive industry partnerships. At the heart of it all is our mission: to help the next generation of travel entrepreneurs turn their love for travel into a fulfilling career, whether full-time or part-time. We believe that everyone, from seasoned professionals to first-time advisors, can build something both profitable and personal.
Founded in 2021 by seasoned entrepreneurs, Fora has grown steadily since, expanding to a team of 200+ full-time employees based in downtown New York City. In 2026, we announced our $60 million Series D investment round, led by Forerunner and Tactile Ventures, with continued participation from existing investors Thrive Capital, Insight Partners, and Heartcore Capital. We've also been recognized as a LinkedIn Top Startup 2024, Fast Company's Most Innovative Companies 2025 and 2023, and we were most recently recognized as one of the TIME100 Most Influential Companies 2026.
We're building the first truly unified platform for all travel needs-leveraging the best of human expertise and technology to transform how people plan and book travel.
About The Role
Fora is hiring its first Senior Analytics Engineer to help scale how data is modeled, curated, and delivered across the company. As our centralized data team grows, we're looking for a dedicated owner of the analytics transformation and metrics layer so analysts and stakeholders can access timely, reliable, and actionable insights.
This is a foundational role where you'll establish analytics engineering standards, create trusted data marts and metric definitions, and improve data quality and performance across Fora's data stack. This role reports to the Director, Data & Analytics and works closely with partners in Engineering, Product, Finance and Growth.
Key Responsibilities
  • Own and mature Fora's analytics transformation layer, including the data models, context, and systems used to manage it
  • Build modern analytics foundations that power AI-driven insights and action (both in BI-tool native AI apps, as well as through the use of MCP servers)
  • Collaborate with business stakeholders to understand their needs, determine projects, and define requirements
  • Improve quality, reliability, and performance, including reducing latency and managing cost as our data scales
  • Promote a culture of data excellence through mentorship, documentation, and training
  • Contribute to broader Data team strategy, project prioritization, and the continuous evolution of analytics best practices
Requirements
  • 5+ years of experience in data analytics, including 2+ in an analytics engineering or an equivalent role
  • Advanced SQL skills. Experience with Python is a plus
  • Experience building and maintaining dbt projects in a production environment
  • Hands-on with data warehouses such as BigQuery, Snowflake, Databricks
  • Experience with modern BI tools such as Omni, Sigma, Hex, or Looker
  • Familiarity with data ingestion (Airbyte, Fivetran) or orchestration tools
  • Experience using LLM tools such as Claude Code, Cursor, or OpenAI Codex
  • Strong cross-functional communication skills and experience partnering with technical and non-technical stakeholders
Compensation
Compensation for this role varies based on experience, with an indicative range of $130-$185K + equity. Final compensation will depend on the level at which the candidate is hired, as we're considering multiple levels for this role.
  • Unlimited vacation
  • Health Insurance (including an option completely covered by Fora HQ)
  • Dental & Vision Insurance
  • Wellhub Memberships
  • 401k plan with company match
  • Commuter Benefits
  • Supplemental Life Insurance
  • Stock Options

This role is based in our beautiful New York City office (Tribeca/Fidi) with lots of natural light and great views.
Our Values
We're forging our own path
Fora has always been about driving change within the industry. We're not interested in maintaining the status quo.
We're stronger together
Community is our cornerstone and collective power is our strength. We believe we can all go further when we operate together, using our combined leverage to unlock better opportunities and outcomes for our advisors, partners, and travelers.
We believe in technology
We believe technology is an answer to some of the most fundamental challenges the travel industry faces. We believe advancements in AI, bold investments in our platforms, and a world-class data infrastructure will transform the work of our advisors and our partners, while creating better travel experiences for travelers.
We're here to serve
We operate in service of our community and believe that when they're empowered to focus on what they do best, we all win. It's why we relentlessly advocate for our advisors and prioritize their best interest every step of the way.
We mean business
Fora is equal parts fun, meaningful work and serious travel business. We're unlocking opportunities for thousands of travel entrepreneurs, delivering a stream of high-quality guests at scale for our partners, and providing a superior travel experience for our travelers. It's a better equation for the future of our industry.
WORK AUTHORIZATION
Authorization to work in the United States is required for full-time roles based in our New York City office. Fora is unable to sponsor or assist with U.S. work authorization. Roles based outside of the United States are not subject to this requirement.
EQUAL OPPORTUNITY
Fora is committed to an equitable hiring process and an inclusive work environment. BIPOC and traditionally underrepresented candidates are strongly encouraged to apply. We will not discriminate and will take action to ensure against discrimination in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity, gender expression or any other characteristic protected by law.