Staff Marketing Analytics Manager at 10x Genomics
Pleasanton, California, United States -
Full Time


Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Customer Data Model, Data Engineering, A/B Testing, Data Accuracy, Reporting Processes, Analytics Workflows, SEO, SEM, Data Visualization, Google Analytics, CRM, Marketing Automation, SQL, Python, R, Statistical Modeling

Industry

Biotechnology Research

Description
Architect and advocate for a unified customer data model, collaborating with data engineering to ensure scalable, high-quality data infrastructure. Build and maintain executive-level dashboards and operational reporting tools to monitor marketing performance across channels. Design and analyze A/B tests to improve campaign performance and user experience. Improve data accuracy, reporting processes, and analytics workflows across the marketing organization. Analyze digital performance across SEO/SEM, website traffic, social media, and email campaigns. Collaborate cross-functionally with Finance, Sales, and Product to align marketing analytics with broader business objectives. Bachelor's degree in Marketing, Business, Statistics, Data Science, or a related field 6+ years of experience in marketing analytics, data science, or a related field, with a proven track record of driving measurable impact. Expert-level proficiency in SQL and either Python or R for data manipulation and statistical analysis. Strong understanding of statistical modeling, marketing attribution, and predictive analytics. Experience with data visualization tools (e.g., Tableau, Power BI) and web analytics platforms (e.g., Google Analytics). Experience with CRM and marketing automation platforms (e.g., Salesforce, Marketo). Ability to synthesize complex data into clear, actionable insights for both technical and non-technical stakeholders. Excellent communication, collaboration, and project management skills. Advanced degree preferred Experience in a fast-paced, high-growth environment, ideally within a healthcare/life sciences multinational or tech-driven organization.
Responsibilities
Architect and advocate for a unified customer data model while collaborating with data engineering. Build and maintain executive-level dashboards and operational reporting tools to monitor marketing performance across channels.
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