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PagerDuty
is hiring
Senior Data Analyst, Sales
About Our Company
In an always-on world, teams trust PagerDuty to help them deliver an optimal digital experience to their customers, every time. PagerDuty is the central nervous system for a company’s digital operations. We identify issues and opportunities in real-time and bring together the right people to respond to problems faster and prevent them in the future. From digital disruptors to Fortune 500 companies, over 18,000 businesses rely on PagerDuty to help them continually improve their digital operations—so their teams can spend less time reacting to incidents and more time building for the future.
Dutonians believe that we are a part of a bigger movement of businesses being built to benefit everyone—the customer and the employee, as well as our community. We are go-getters fueled by the fire to reinvent how people and companies work together. We take the lead and get creative to be first in the hearts of our customers. Whether it’s keeping the world on or changing it entirely, Dutonians are fueled by the fire to reinvent how people and companies work together to deliver in real-time, across the globe.
Join us to lead uncharted efforts and reinvent how companies run.
Job Description & Responsibilities
As a Senior Data Analyst, you will play a crucial role in establishing a center of excellence for analytics and insights within the Go To Market (GTM) organization, reporting directly to the Director of GTM Data and Analytics. You will utilize your expertise in analytics to collaborate with cross-functional teams and develop dashboards, analytical tools, and analyses that provide insights and recommendations to senior company leaders across sales, marketing, product, and customer success.
You will support the sales organization through data collection, analysis, and interpretation. This role will involve working closely with sales leadership to identify key performance indicators (KPIs), create data-driven strategies, and provide insights to enhance sales performance. Ensuring the accuracy and reliability of data will be essential for data-informed decision-making.
Ideally, you have experience working in fast-paced, rapidly growing organizations, and possess an understanding of sales metrics, processes, and tools. A curious mindset towards the latest AI advancements, coupled with experience using AI/ML technologies, is desired. Additionally, proficiency in building intuitive and robust dashboards and analyses using Tableau, SQL, or Python is expected.
Key Responsibilities
- Collect and analyze sales data from various sources, including CRM systems and marketing automation platforms
- Develop and maintain data models to support sales analysis
- Create reports and dashboards to visualize sales data and performance
- Monitor and analyze key performance metrics providing insights and recommendations to improve sales performance
- Create and present data-driven insights and recommendations to sales leadership and cross-functional teams, supporting strategic decision-making and driving growth
- Work with sales teams to identify and address data-related challenges
- Ensure accurate, actionable, and timely insights by utilizing the latest AI and data synthesis techniques
- Collaborate with cross-functional teams, including Sales, Marketing, Finance, and IT, to develop and implement data-driven strategies that drive sales enablement and productivity
- Comfortably handle large datasets, ensuring data accuracy and reliability while drawing meaningful conclusions for the organization
Requirements
Skills & Attributes
- Demonstrated experience leading the build of dashboards and analytical tools
- Excellent communication and presentation skills
- Strong analytical and problem-solving skills
- Ability to work independently and as part of a team
Minimum Requirements
- Bachelor's degree in business, computer science, data science, statistics, or related field
- 5+ years of experience in data analysis, with a focus on sales
- Strong proficiency in data analysis tools and techniques, using SQL or Python, and Tableau
- Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop
- Strong background in data quality management and analytics
Preferred Qualifications
- Direct experience within a SaaS organization
- Knowledge of the latest AI and data synthesis techniques for generating insights
- Exposure to AI, Deep Learning, Neural Networks, NLP
- Knowledge of Salesforce tools for data cleansing and data quality management
What we offer
The base salary range for this position is $100,000.00 - $141,000.00 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.
Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.
One way we ensure our employees are inspired to do their best is through a comprehensive total rewards approach that supports them and their loved ones. As a global organization, our programs are competitive with industry standards and aligned with local laws and regulations.
Your Package May Include
- Competitive salary and company equity
- Comprehensive benefits package from day one
- Flexible work arrangements
- ESPP (Employee Stock Purchase Program)
- Retirement or pension plan
- Paid parental leave - up to 22 weeks for pregnant parent, up to 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)
- Generous paid vacation time
- Paid holidays and sick leave
- Dutonian Wellness Days - scheduled company-wide paid days off in addition to PTO
- HibernationDuty - an annual company paid week off when everyone at PagerDuty, with the exception of a small, coverage crew, is asked to take a much needed break to truly disconnect and recharge
- Paid volunteer time off - 20 hours per year
- Company-wide hack weeks
- Mental wellness programs
