Product Analyst

The Data Team at PandaDoc is currently overhauling existing processes and creating a cutting-edge insights infrastructure from the ground up. We have a reporting line directly to the CTO and co-founder of PandaDoc, so we have an ideal environment for visibility and impact generation.

Currently, we have 3 teams inside the Data organization: Product & Growth Analytics, Marketing Analytics, and Data Engineering (Data & Analytics Engineering). As a Product Analyst, you will report directly to the Director of Data, and will have the opportunity to shape the roadmap for data workstreams and product optimization.

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We have two main priorities for the 2024 year:

• Migrate to new infrastructure (Snowflake, Airbyte, Segment, Select Star, Monte Carlo, dbt, various BI tools) to ensure we remain at the forefront of industry trends, revising existing processes, building a strong data model, and creating standards as we go
• Generate impact by using data to find and address the biggest opportunities and key problems in different areas of the business

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Our Vision is to be the source of data and go-to recommendation engine for departments across the company... we just need you to join us and help us get there!

• Analyze product usage data to identify trends, user behaviors, and areas for improvement
• Collaborate with product managers to define key performance indicators (KPIs) and success metrics for product initiatives
• Create detailed reports and dashboards to communicate insights and recommendations to stakeholders
• Assist in defining product requirements and user stories based on data-driven insights
• Contribute to foundational data efforts, such as metric and model definition
• Provide guidance and analysis for product optimization experiments
• Grow impactful relationships with cross-functional partners and stakeholders
• Present findings from research and experimentation to technical and non-technical audiences

• Bachelor's Degree ideally in a quantitative field (mathematics, statistics, economics, etc)
• 2+ years of experience in a product analyst or similar role, preferably in a SaaS environment
• Strong analytical skills with proficiency in data analysis tools (e.g., SQL, Excel, Tableau)
• A/B testing experience and strong understanding of statistical inference, experimental design, and analytic bias
• Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders
• Ability to work collaboratively in with a wide variety of technical abilities and levels of leadership
• Strong attention to detail and a passion for delivering exceptional user experiences

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You’ll get bonus points if you:

• have worked for a B2B startup in the past
• have proficiency in Python/R for modeling and manipulating large datasets

The annual base salary range for this position is $99,000 - $150,000 USD.

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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 10 company paid holidays off per year

Company Overview:

PandaDoc empowers more than 50,000 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.

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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.

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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.

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