What You'll Do
- Execute audience targeting logic (list pulls) for campaigns supporting acquisition and customer programs using SQL on Hive, Presto).
- Author and maintain logic for audience targeting attributes and automated list pulls in various languages such as SQL, Hive QL and Spark.
- Own and maintain a single source of truth for all customer data available to be used for marketing campaigns.
- Use of in-house tools to automate list pulls and other processes.
- Evaluate and prioritize project requests and enhance intake processes.
- Improve campaign KPIs by collaborating on and applying targeting optimization techniques and AB test setup.
- Partner with engineering, marketing, analytics, and data science teams to continuously improve our understanding of customer data.
- Design system-first processes to scale targeting resources, including defining and leading implementation of enhancements to our internal targeting tools.
Basic Qualifications
- 3+ years of experience targeting audiences for marketing use cases, both ad-hoc and automated; including data integration with CRM or other marketing automation platforms; AND
- 2+ years of experience with SQL
- Bachelors degree or equivalent experience
Preferred Qualifications
- Experience with machine learning modeling
- Experience with Basic command of Unix commands / shell scripting
- Fluency and experience with Hive QL, Presto, Spark and Python
For San Francisco, CA-based roles: The base salary range for this role is USD$129,000 per year - USD$143,000 per year.
You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .