Experimentation Lead (CX)

Location: Remote (Must work PST hours)

Our client is a global consulting company with 16,000 employees. Their analytics business in the U.S. is one of the fastest growing divisions of the company.

They have an immediate need for an Advanced Analytics Experimentation Lead to support their clients customer experience/support team. The client is a leading Bay area tech company in the travel and hospitality space.

The Difference You Will Make:

Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions.

Drive day to day product analytics and create scalable data tools

Identify pain points in traveling and hosting and work with product leadership to improve experiences for our guest and host community

A Typical Day:

Build metrics and dimensions in data warehouse to support business decisions

Working closely with Product Managers and Business leads to design, execute and evaluate A/B tests. Understand common pitfalls and caveats of experimentations.

Define how to best measure the performance of the digital product and business through new metrics and dimensions. Align with stakeholders, understand tradeoffs and guardrails, prototype metrics through custom data pipelines.

Empower the team to answer data questions quickly and easily by building high-quality ground truth data sets and dashboards. Collaborate with Product Engineering to spec out logging and with Analytics Engineering to build data tools for mass consumptions.

Your Expertise:

5+ years in industry experience and a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)

Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences

Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement

Experience in analysis of A|B experiments and statistical data analysis

Experience designing and building metrics, from conception to building prototypes with data pipelines

Strong knowledge in at least one programming language (Python or R) and in SQL

Ability to drive data strategies, with a central source of truth to impact business decisions

Knowledge and experience in customer experience measurement - a plus


Apply

Please tell us a little bit about yourself and the types of positions you are interested in. We will do our best to get back to you with some feedback asap.

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