Partner Marketing Analytics Lead & Insights

Google; Sunnyvale (CA); On-site; USD 180,000 - 261,000; Full time

Benefits offered by this job

Health, dental, vision

401(k) with company match

Paid time off

Sick time

Holiday pay

Maternity leave

Job summary

Google seeks a senior data analytics professional to lead marketing analytics strategy, merge multi-source data into clear dashboards, and deliver actionable insights for leadership. You will influence strategic decisions, drive reporting with senior stakeholders, and help shape Google Cloud usage through rigorous statistical methods.

Responsibilities include end-to-end data extraction, advanced visualization, and fostering cross-functional collaboration to align data requirements with business

Qualifications

• Bachelor's degree in a quantitative field or equivalent practical experience.
• 9 years of experience as a data analyst/scientist using statistical techniques.
• 7 years of experience analyzing data sets with SQL.
• Experience developing data visualizations.

Responsibilities

• Guide partner marketing analytics strategy and establish performance measurement frameworks.
• Integrate multi-source data to build dashboards and recurring reports for leadership.
• Uncover insights to inform strategic changes for Google Cloud product use and adoption.
• Apply statistical methods for A/B, multivariate, and causal inference testing.
• Provide end-to-end data extraction, manipulation, visualization, and data mining.

Skills

SQL

Data visualization

Statistics

Data analysis

Education

Bachelor's degree in a quantitative field

Tools

ETL pipelines

Dashboard tooling

BI platforms

Job description

Google seeks a senior data analytics professional to lead marketing analytics strategy, merge multi-source data into clear dashboards, and deliver actionable insights for leadership. You will influence strategic decisions, drive reporting with senior stakeholders, and help shape Google Cloud usage through rigorous statistical methods.

Responsibilities include end-to-end data extraction, advanced visualization, and fostering cross-functional collaboration to align data requirements with business