Analytics Engineer, Paid Marketing

The mission of the business strategy & analytics team is to ensure the entire company understands business performance and trends, and to empower all business teams to make good decisions with data. We partner with marketing on strategy and positioning, and we manage the announcement of product launches, updates, and major initiatives. It's our job to maximize Scribd's potential by delighting our readers and helping our company grow. Scribd is seeking an enthusiastic senior marketing analyst to help create and make informed decisions about the design and prioritization of our go-to-market strategy.

About You

We are looking for an analytics engineer who will help analysts, data scientists, and data-savvy stakeholders to more efficiently and effectively interact with our data.

You are a curious person who is highly analytical, loves solving ambiguous business problems through exploratory analysis. You have a growth mentality and are excited by a fast paced environment. You have great business intuition that helps you create actionable insights, focusing on user experience, impact, and learning from data.

You Will:

• Partner with business stakeholders to understand, prioritize, design and fulfill business and business issue analysis needs.

• Identify KPIs driving business growth and performance and work closely with the business teams to define them

• Build dashboards in Looker to provide insight into marketing performance and product engagement

• Design and implement data post-processing pipelines and create shared data assets generating visibility into critical business metrics

• Make the team more efficient: Research and implement new tooling/processes team-wide; seek out and automate existing costly manual processes

• Support the paid marketing team with channel execution, and optimization of the marketing program across multiple publisher categories like content, search, and comparison sites

• Frequent communication with stakeholders on how we’re progressing against our goals, learnings we have, risks we foresee and where we need support from the organization.

You Have:

• 2-4 years experience with quantitative data analysis or business intelligence.

• Highly analytical mindset with demonstrated ability to work through complex, ambiguous problems using data.

• Ability to work independently and with a team on multiple projects

• Expert level of SQL, familiarity with Python.

• Plus if you have experience with marketing platforms (eg. Google Ads, Appsflyer, Facebook)

• Plus if you have experience with Looker and LookML

• BA/BS degree in math, statistics, economics, physics or equivalent experience.

In the state of California, the reasonably expected salary range is between $91,000 [minimum salary in our lowest geographic market within California] to $146,750 [maximum salary in our highest geographic market within California].

Outside of California, the reasonably expected salary range is between $75,000 [minimum salary in our lowest US geographic market outside of California] to $139,750 [maximum salary in our highest US geographic market outside of California].

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