“PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning.This role is expected to come into our Atlanta office one day a month, so you can thrive in your new role and fully embrace being a Dutonian!”

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

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:

• 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

The base salary range for this position is 100,000 - 156,000 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.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.