PandaDoc · 5 hours ago
Senior Analytics Engineer
United States
Full-time
Remote
Senior Level
$140K/yr - $160K/yr
5+ years expPandaDoc is a company that empowers over 60,000 organizations with its document workflow automation platform. They are seeking a Senior Analytics Engineer to build foundational data models and infrastructure that drive insights across the organization, collaborating closely with data analysts and business stakeholders.
Contact ManagementDocument ManagementE-SignatureSaaSSales AutomationSoftware
Responsibilities
Design, build, and maintain dimensional data models in Snowflake that serve as the foundation for analytics and reporting across the company
Develop and optimize dbt models to transform raw data from systems like Salesforce, HubSpot, Recurly, and other business platforms into clean, reliable datasets
Create and maintain data documentation in Select Star and other catalog tools to ensure discoverability and understanding of our data assets
Partner with data analysts and business teams to understand their analytical needs and translate them into scalable data solutions
Implement data quality checks and monitoring to ensure accuracy and reliability of analytics datasets
Optimize SQL queries and data pipelines for performance and cost efficiency
Support strategic analytics initiatives including customer journey analysis, revenue analytics, and product usage metrics
Contribute to data governance practices including data quality standards, PII handling, and metadata management
Mentor junior team members and promote best practices in data modeling and analytics engineering
Qualification
Required
5+ years of experience in analytics engineering, data engineering, or similar data-focused role
Expert-level SQL skills with experience writing complex queries, CTEs, and window functions
Strong experience with dbt (data build tool) for building and maintaining transformation pipelines
Hands-on experience with Snowflake or other cloud data warehouses (e.g. BigQuery, Redshift)
Familiarity with data cataloging tools (Select Star preferred)
Knowledge of data orchestration tools (Airflow / MWAA preferred)
Strong background in Python for data analysis or automation
Deep understanding of dimensional modeling, data warehouse design patterns, and analytics best practices
Experience working with SaaS metrics (MRR, churn, customer lifetime value, etc.)
Proficiency with GitHub for version control and collaborative development
Strong communication skills with ability to translate technical concepts for business stakeholders
Self-directed and comfortable working in a remote environment with distributed teams
Preferred
Experience with reverse ETL tools such as Hightouch
Some exposure to BI tools (Hex preferred)
Understanding of data mesh or domain-oriented data architecture concepts
Benefits
Employees may be able to purchase company stock (or receive annual bonuses)
Employees (and their families) may enroll in the company's medical, dental, vision, short & long term disability, life insurance, FSA and 401k plans.
Employees will also receive 13.34+ hours of paid time off per month, 6 self care days, birthday PTO day, and 12 company paid holidays off per year.
Company
PandaDoc
PandaDoc enables users to create, deliver, and manage their teams’ quotes, proposals, contracts, and other sales collateral.
501-1000 employees
H1B Sponsorship
PandaDoc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (1)
2020 (1)
Funding
Current Stage
Late StageTotal Funding
$56.94MKey Investors
Indico Capital PartnersOne PeakRembrandt Venture Partners
2025-12-16Series Unknown· $5.88M
2021-09-22Series C
2020-08-05Series B· $30M
Leadership Team
Keith Rabkin
Chief Executive Officer
Sergey Barysiuk
CTO, co-founder
Recent News
Tech Startups - Tech News, Tech Trends & Startup Funding
2025-12-18
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2025-12-18
Company data provided by crunchbase