Senior Product Analyst

Job Description

Company Overview

PandaDoc empowers more than 60,000 growing organizations to thrive by taking the work out of document workflow. PandaDoc provides an all-in-one document workflow automation platform that helps fast scaling teams accelerate the ability to create, manage, and sign digital documents including proposals, quotes, contracts, and more. For more information, please visit https://www.pandadoc.com.

The Opportunity

As a Senior Product Analyst at PandaDoc, you will be a critical analytical partner, working closely with Product Managers, Engineers, and Designers to drive data-informed decisions within a specific product domain. This role focuses on applying analytical rigor, executing deep dive analyses, and interpreting experiment results to provide clear, actionable insights. You will support the measurement of product success and leverage your expertise to influence strategic product direction in an often ambiguous environment.

You will report to the Director of Product Data and act as a reliable thought partner to your cross-functional product team, ensuring alignment between data insights and iterative product decisions.

What You'll Do

Product Insights & Analytical Execution

• Analytical Deep Dives: Execute complex analytical deep dives on key product areas (e.g., adoption, activation, engagement, retention, or monetization) to uncover root causes, identify opportunities, and translate findings into clear, actionable recommendations for product teams.
• Experimentation Execution: Partner with product teams to design experiments (e.g., A/B tests), define success metrics, and ensure proper implementation. Communicate the true impact and causality of product changes to stakeholders.
• Metric Monitoring and Reporting: Proactively monitor product KPIs and health metrics. Develop dashboards, reports, and clear visualizations using BI tools (e.g., Tableau, Looker, Hex) that enable product teams to monitor their health metrics independently.
• Data Advocacy and Influence: Translate analytical findings into compelling business narratives for cross-functional partners. You will advocate for the value of experimentation within your product area.
• Measurement Support: Support the definition, monitoring, and governance of the Key Performance Indicator (KPI) framework within your scope, mapping low-level product health metrics to high-level business outcomes.

Technical Rigor & Collaboration

• Analytical Rigor: Apply rigorous analytical methodologies to ensure the reliability and validity of product measurements, including selecting appropriate statistical tests for analysis.
• Collaboration and Guidance: Provide guidance to peers and stakeholders on best practices for data exploration, visualization, and reporting.
• Data Partnership: Work closely with Data Engineering and Product Engineering to ensure data quality, reliable instrumentation, and the availability of data needed for analysis.

About You

Qualifications

• Experience: 4+ years of professional experience in an applied product analyst or business intelligence role, with a proven track record of leveraging data to influence product strategy and drive business impact.
• Education: B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, or a related quantitative discipline.

Required Technical Expertise

• Experimentation & Measurement: Demonstrated experience in the design, measurement, and interpretation of A/B tests, including defining appropriate metrics and communicating statistical significance and practical relevance.
• Data Storytelling: Expertise in using BI tools (e.g., Tableau, Looker, Hex) to create impactful dashboards and data visualizations that communicate complex insights clearly.
• Programming: Advanced proficiency in SQL for complex querying, data manipulation, and extraction. Proficiency in Python or R is a strong plus.
• Analytical Methods: Strong knowledge of statistical concepts (e.g., hypothesis testing, confidence intervals) necessary to perform thorough exploratory data analysis, produce timely insights, and provide actionable recommendations.
• Data Tools: Expert-level proficiency in SQL and experience working with established data warehouses (e.g., Snowflake, Postgres).

Key Attributes

• Strategic Communication & Influence: Possesses exceptional communication, presentation, and data storytelling skills with a consistent record of influencing cross-functional partners and leadership at the team level, particularly in navigating and driving consensus in unstructured or ambiguous environments.
• Thrive in Ambiguity: Ability to navigate significant ambiguity, translate complex business questions into clear analytical frameworks, and manage multiple competing priorities in a fast-paced environment.
• Relevant Experience: Experience in a SaaS domain and a strong focus on Product Analytics are strongly preferred.

Company Culture

We're known for our work-life balance, kind co-workers, & creative virtual team-bonding events. And although our Pandas are located across the globe, we stay connected with the help of technology and ensure that everyone on our team feels, well, like a team.

Pandas work best when they're happy. We retain our talent by upholding our values of integrity & transparency, and selling a product that changes the lives of our customers. Our attainment of awards such as Best Workplace, Best StartUp Employer and a Stevie Award for Best Employers demonstrate our commitment to our culture.

Check out LinkedIn to learn more.

Benefits

• Competitive salary (If you are located in Poland the salary range is 290K-310K PLN annually/gross)
• Remote-first approach with the option for hybrid work from our offices in Kyiv, Warsaw, and Lisbon.
• We value long-term collaboration, whether through typical employment contract, employment of record or B2B arrangements. Be aware that contract type and benefits vary by location - feel free to clarify with our recruiters).
• Work schedule aligned with EU time zones.
• Honest, open culture that values constructive feedback.
• Professional and personal development within a collaborative, supportive team.
• Stable yet growing SaaS product offering an agile environment, ownership, start-up energy, and strong technical challenges.

PandaDoc is an Equal Opportunity Employer. We are committed to equal treatment of all employees without regard to race, national origin, religion, gender, age, sexual orientation, veteran status, physical or mental disability or other basis protected by law.

EXTERNAL RECRUITERS
Approval Requirement
The use of external recruiters/staffing agencies requires prior approval from our HR Team. The HR Team at PandaDoc requests that external recruiters/staffing agencies not to contact PandaDoc employees directly in an attempt to present candidates. Complying with this request will be a factor in determining future professional relationships with PandaDoc.