dbt Labs

Sr Enterprise Business Systems Analyst (People Technology)

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, Data & Analytics, Human ResourcesIndustries

About Us

dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 50,000 teams every week.

As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Cloud customers, including JetBlue, HubSpot, Vodafone New Zealand, and Dunelm. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:

  • Code-based data transformations unlock transparency, flexibility, and collaboration
  • Analysts should adopt software engineering best practices to build trusted data products
  • Core analytics infrastructure should be open source and user-controlled
  • Analytic code—not just tools—should be shared and community-driven

dbt is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.

The Role

We're seeking a Senior Enterprise Business Systems Analyst (People Technology) to scale and optimize our People Technology ecosystem across global teams. This role combines strategic vision with hands-on implementation, supporting the design and continuous improvement of a modern, integrated HR tech stack.

You'll work with tools including Workday, Greenhouse, ModernLoop, OverseasConnect, Vistra, Remote.com, Sparrow, CultureAmp, and Organimi. You'll partner closely with HR, IT, and cross-functional teams to deliver efficient, employee-centered experiences.

Success in this role requires a strong understanding of the employee lifecycle, proven ability to implement enterprise-grade HR systems like Workday, and a forward-thinking approach grounded in AI-first principles. You'll help define and deliver a future-state employee journey powered by automation, insight, and smart system design.

Key Responsibilities

  • Serve as a key People Technology partner supporting system enhancements, process improvements, and cross-system integrations
  • Lead or support the implementation, optimization, and maintenance of HR systems including Workday, Greenhouse, ModernLoop, OverseasConnect, Vistra, Remote.com, Sparrow, CultureAmp, and Organimi
  • Apply an AI-first approach to identify opportunities for automation, improved data accuracy, and enhanced user experience
  • Drive integration and data flow between platforms to ensure consistency, compliance, and reliability
  • Partner with HR teams to translate business needs into scalable system solutions
  • Assist in mapping and delivering a future-state employee journey that supports growth and operational efficiency
  • Implement SDLC best practices including support testing, documentation, release planning, and training as systems evolve
  • Monitor system performance, triage issues, and manage vendor escalations when needed
  • Stay current on platform updates, emerging technologies, and best practices in HR systems

Qualifications

  • 10+ years of experience in People Technology, HR Systems, or related roles
  • Experience implementing or supporting enterprise-grade HRIS platforms, preferably Workday
  • Hands-on experience with tools such as Greenhouse, ModernLoop, OverseasConnect, Vistra, Remote.com, Sparrow, CultureAmp, or Organimi
  • Strong understanding of employee lifecycle processes and HR operations
  • Demonstrated ability to improve system usability and performance through smart configuration and thoughtful automation
  • Experience gathering requirements, designing workflows, and documenting processes
  • Strong communication, collaboration, and stakeh

Skills

Workday
Greenhouse
ModernLoop
OverseasConnect
Vistra
Remote.com
Sparrow
CultureAmp
Organimi
HR Tech Stack
Analytics Engineering
Employee Lifecycle
Business Systems Analysis

dbt Labs

Cloud-based data management platform for analytics

About dbt Labs

GetDBT.com is a cloud-based data management platform that helps companies streamline their data development processes. It allows users to write business logic more efficiently, enhances code reusability, and ensures data quality through testing and governance features. Unlike its competitors, GetDBT.com focuses on scalability and complexity, making it suitable for businesses at various stages of data maturity. The company's goal is to empower organizations to manage their data effectively while providing reliable service through a subscription model.

Philadelphia, PennsylvaniaHeadquarters
2016Year Founded
$403.1MTotal Funding
SERIES_DCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
501-1,000Employees

Benefits

Unlimited Paid Time Off
401(k) Company Match
401(k) Retirement Plan
Health Insurance
Paid Parental Leave
Wellness Program
Home Office Stipend

Risks

Increased competition from Fivetran's integration may lead to customer attrition.
Dbt Mesh's complexity could cause integration challenges for existing users.
New executive appointments may lead to strategic shifts misaligned with customer expectations.

Differentiation

Dbt Labs offers a unique open-source analytics engineering tool for data transformation workflows.
The platform supports SQL-based data modeling, appealing to data analysts and engineers.
Dbt Mesh architecture allows cross-project model referencing, enhancing scalability for complex data needs.

Upsides

Collaboration with Fivetran enhances platform capabilities, attracting more enterprise clients.
Mark Porter's appointment as CTO could drive technological advancements and innovation.
Recent dbt Cloud enhancements improve collaboration, appealing to large teams and enterprises.

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