Senior Data Analyst - Marketing (Phoenix, AZ or Remote)

TL;DR

This is a data analyst role! This role requires very technical experience as an analyst supporting a marketing team.

As our growth efforts have expanded and evolved, so has the demand for insights that upgrade our customer acquisition approaches. We’re seeking a data analyst to build on our existing marketing infrastructure and analytics foundations - assembling, integratingand analyzing data across the customer lifecycle. You'll have the opportunity to dive into a robust marketing and rev ops tech stack, surfacing trends and opportunities across digital marketing, web analytics, sales deal lifecycle data, and beyond.

This highly-collaborative role sits on our growth team under our marketing department. They will be the SME (subject matter expert) for marketing and sales analytics. From martech tooling, performance dashboards, full-funnel optimization, experimentation reporting… the sky’s the limit (like, seriously) if it helps scale Trainual's growth engine.

So who are you? You’re enthusiastic about connecting the dots between marketing execution and measured business impact. You love to dig into the “why” because you’re constantly curious about how various marketing variables drive growth + performance. You’re a self-starter with a business owner mentality, relentless curiosity, and a knack for uncovering insights at every step of the customer lifecycle. You thrive in ambiguity and love any opportunity to solve a problem.

What you'll own & improve:

• Supporting marketing & growth stakeholders in making data-centered decisions daily. You will help transform large, potentially messy, data sets from multiple sources into reliable performance metrics. You’ll create, define, and update marketing “source of truth” dashboards across BI and operational tooling platforms, always with an eye toward usability and business impact. You have a knack for interpreting the data to identify the most important opportunities for Trainual’s customer growth. You'll monitor and report on data across digital marketing platforms, Google Analytics 4, HubSpot, and more, synthesizing holistic funnel performance and communicating trends to internal stakeholders and marketing executives.
• Managing analytics projects and initiatives end-to-end. You’ll own the analytics process with cross-functional stakeholders, from understanding requirements, to developing a project plan, identifying data sources, running queries, and visualizing findings. You'll provide guidance on testing methods, statistical analysis techniques, and more. In short, you're a star at collaborating with stakeholders and translating their goals and business needs into effective and actionable insights.
• Maintaining the data workflows and integrations that power marketing efforts. You’ll refactor queries and data connections, where necessary, to increase the simplicity, accuracy, and consistency of getting data from marketing tools to insights. You’re no stranger to being held accountable for the successful performance of acquisition tooling and models (e.g. adside pixels, attribution, conversion and activation events).

What you already know:

• ~5 years of experience in a marketing analytics role, B2B SaaS preferred
• Experience building or maintaining marketing analytics infrastructure as the only analyst or on a small, scrappy team
• All the customer acquisition metrics and how to calculate and uplevel them: CPM, CPC, CPA, LTV, CAC, ARPA, NRR
• How to dig into a customer lifecycle step by step and identify opportunities and trends
• Familiarity with the implementation and maintenance of marketing data aggregation + transformation, identity resolution, tag management, web analytics, and attribution
• You excel (pun intended) with B2B funnel and attribution reporting
• Deep understanding of CRMs and building reporting within them

Our tech stack includes:

• SQL (must have, obvs!)
• CRM (Hubspot - must have)
• Google Analytics 4 (must have)
• Multiple digital ad platforms (Facebook Ad Manager, Google Ads Manager, etc.)
• Data integration tool (Hightouch, dbt - both strongly preferred)
• Cloud-based BI tool (Omni)
• Cloud-based data warehouse (BigQuery)
• Event tracking and reverse ETL (Hightouch)
• Google Tag Manager
• Attribution (Cometly)