Commercial Operations Data Analyst
| Company | PTC |
|---|---|
| Location | Boston, MA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Junior, Mid Level |
Requirements
- 1-3 years of experience in analyzing customer-related data and generating reports
- Understanding of a SaaS and subscription business and related KPIs
- Proficient in MS Excel
- Bachelor’s degree in a business or a STEM field, coursework or certificates in analytics are a plus or relevant working experience
Responsibilities
- Provide timely insights and analytics support to internal stakeholders to make data-driven decisions
- Innovate and develop new KPIs or analyses that drive a better understanding of business performance and determine the best ways to automate delivery, ranging from dashboards to integration into business applications
- Create and compile materials for executive facing presentations, quarterly business reviews, and other product and customer deep dives
- Partner with Sales Operations to build and scale analyses relating to sales performance / optimization, pipeline risk identification and opportunity management, and more
- Create reports or analyses to directly support PTC’s annual operational planning process
- Help model PTC’s worldwide sales pipeline targets by analyzing performance data, building models, and incorporating key business input
- Collaborate with development teams to manage enterprise pipeline reporting applications in Qlik Sense, and Power BI, functioning as the liaison between technical development, business users, and leadership
- Partner with other analytics teams, operations, data governance, and finance to ensure that the appropriate data points and sources are systematically available to enable deeper understanding of PTC’s customers
Preferred Qualifications
- Highly self-motivated, proactive contributor who thrives in an environment that embraces cross functional collaboration and eliminating information silos
- Enthusiasm for problem-solving and exploring insights from large datasets
- Strong business acumen and the ability to think about the business holistically
- Strong understanding of SaaS Metrics like ARR, Churn, Net/Gross Retention, Sales Pipeline, etc.
- Technical aptitude to learn new tools, technologies, and methodologies
- Strength in MS Power BI is highly preferred, while at least one of the following is a plus – SQL, Python, R, Knime, Alteryx, Tableau, Qlik Sense, or other visualization tools
- Ability to understand complex systems and dependencies
- Very proactive and strong communication skills