PagerDuty is seeking a Senior Analyst, Marketing Analytics to join our talented, customer-focused team! You will correlate goals to key performance indicators (KPIs), ensure tracking is set up to report and analyze, set up automated Tableau dashboards, run experimentation and a/b tests, and provide collaborative insights to internal stakeholders for performance reporting and optimization.
You will focus on identifying and mapping KPIs on the product-led growth funnel and sales assist funnel in a SaaS environment. Additionally, you will work with key stakeholder groups on the web and growth teams (digital marketing focused) on KPI and goal mapping enablement, data-driven recommendations on testing & personalization strategies, implement web analytics tracking and tests, advise on CDP tracking, create performance reporting dashboards, and deliver insights.
You speak the language of marketers as well as data engineers, translating business questions into technical requirements. You provide simple, easy-to-digest reports and insights that will help our global marketing team drive more leads, pipeline and revenue, while keeping an eye on ROI.
You’re organized, work well autonomously, and can be trusted to deliver high quality work. You prioritize fiercely and communicate effectively. You take the work seriously, but you don’t take yourself too seriously. Wherever possible, you’ll teach willing marketers how to answer their own questions with the flexible dashboards that you’ve built.
This role is expected to come into our San Francisco office 2 days per week, so you can thrive in your new role and fully embrace being a Dutonian!
Key Responsibilities:
- Take analytics ownership of front-end tracking & reporting. Work with web developers to ensure proper & adequate front end tracking on all website features, and take an active role in identifying & resolving tracking gaps. Provide stakeholders with dashboards and reports on website engagement & performance, and identify key insights & opportunities for website enhancement.
- Analyze dashboards, provide insights and recommendations to stakeholders. See through recommendations and how that impacted performance.
- Conduct ad-hoc investigations analyses and provide data-based insights & recommendations to digital & web marketers.
- Assist in strategy and own implementation and reporting of A/B testing & experimentation. Have a firm grasp of statistical hypothesis testing, and familiarity with small-sample statistical testing methods. Provide appropriate interpretation of results & actionable recommendations to non-technical business stakeholders.
- Actively participate in a collaborative analytics team. Support fellow team mates in knowledge building & sharing, QA’ing code & analyses, and creating documentation of best practices.
- Document how tracking was implemented and how dashboards were created for transparency and visibility for stakeholders and cross-team members
Basic Qualifications:
- 2+ years of working with digital marketing and web analytics data set (e.g.Google Analytics 4, segment.io, Google Ads, Google Search Console, Google Display Network)
- Intermediate SQL skills
- 2+ years experience testing and experimentation (a/b testing, causal inference)
- 2+ years experience using Salesforce CRM data
- 2+ years experience creating reports in a business intelligence tool like Tableau
- Comfortable managing projects and working autonomously to complete projects
- Excellent communicator and collaborative team player
Preferred Qualifications:
- Enterprise SaaS experience
- Experience with Git / version control
- Experience with Snowflake or similar data warehouse
- Experience with tools like Marketo, Salesforce
- Google Tag Manager
- Testing tools like VWO
- Segment.io
- Multi-touch attribution experience
- Marketing mix modeling experience
The base salary range for this position is 114,000 - 191,400 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.
