Data Analyst
Finance & Operations Remote (USA)
PandaDoc is looking for a Data Analyst to help serve growing needs for insights, reports, and dashboards from our product, sales, marketing and support teams. The candidate should have a solid experience in data analysis and visualisation. This position has a high impact on the business.
In this role, you will:
- Use data to make sense of complex buyer journeys. Analyze how customers navigate our marketing & sales funnel and identify opportunities for improvement
- Analyze company data to answer business questions, discover insights, prepare segmentation and describe patterns
- Apply creative analytical problem-solving skills to a wide variety of sales/marketing questions to deepen our understanding of campaign & funnel effectiveness, customer journeys, and go-to-market performance
- Assist the business and management team in the decision making process using data analysis
- Understand business strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals
- Crafting, delivering and owning performance monitoring dashboards that guide understanding of how the business is performing today and where it may go next
About you:
- 2+ years hands-on experience in analytics working with large, complex, and multifaceted data sets
- B.A. or B.S. in Mathematics, Statistics, Economics, Computer Science, and/or Engineering Sciences
- Comfortable managing multiple projects, competing priorities, and an evolving roadmap
- Excellent communication and presentation skills and proven ability to translate data into actionable insights
- Excellent interpersonal skills, with a consistent record of working across all levels of the organization
- Team player who understands the collaborative nature of this work with the ability to influence at C-suite level in a cross-functional environment
- Experience using the following software/tools:
- Relational Databases, including Postgres
- Data pipeline and workflow management tools as Airflow
- AWS cloud services: RDS, Redshift, Sagemaker
- R or Python experience would be a plus but not required
It would be awesome if you had:
- Experience in B2B
- Advanced degree e.g. Masters
- Experience with statistical inference and causal inference techniques
Company Overview:
PandaDoc empowers more than 37,000 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.
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.
Check out our LinkedIn to learn more.
Benefits:
Our benefits include tremendous career growth opportunities, a competitive salary, health and commuter benefits, company-paid life & disability, 20+ PTO days, regularly catered lunches, 401K and FSA plans, and of course, a fun team of Pandas to work with!
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.