Principal, Marketing Analytics at 10x Genomics

, , -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

252300.0

Posted On

22 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Marketing Analytics, Data Science, SQL, Python, R, Statistical Modeling, Marketing Attribution, Predictive Analytics, Data Visualization, Google Analytics, CRM, Marketing Automation, Communication, Collaboration, Project Management

Industry

Biotechnology Research

Description

10x Genomics is seeking a Principal, Marketing Analytics to lead the development of advanced analytics frameworks that drive marketing performance and strategic growth. This senior individual contributor role blends deep technical expertise with strategic influence, serving as a thought leader in marketing analytics while remaining highly hands-on in execution. You will own the design and delivery of full-funnel marketing insights, attribution models, and performance optimization strategies. Your work will directly shape marketing decisions, customer acquisition strategies, and investment priorities across channels. This role is part of the Business Insights & Analytics team in Commercial Organization. What you will be doing: Serve as a strategic partner to marketing leadership, translating business goals into data-driven strategies and measurable outcomes. Architect and advocate for a unified customer data model, collaborating with data engineering to ensure scalable, high-quality data infrastructure. Lead the development of attribution models and marketing mix analyses to identify high-impact campaigns and optimize spend. Build and maintain executive-level dashboards and operational reporting tools to monitor marketing performance across channels. Conduct deep-dive analyses of customer behavior, campaign effectiveness, and channel ROI to uncover growth opportunities. Define and track key metrics such as Customer Acquisition Cost (CAC), Lifetime Value (LTV), and conversion rates. Design and analyze A/B tests to improve campaign performance and user experience. Partner with marketing operations to enhance automation, segmentation, and targeting strategies using data insights. 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. Minimum Requirements: 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. Preferred Qualifications: Advanced degree preferred Experience in a fast-paced, high-growth environment, ideally within a healthcare/life sciences multinational or tech-driven organization. This is a high-impact role that will directly influence marketing strategy and business growth through data-driven insights. Below is the base pay range for this full-time position. The actual base pay will depend on several factors unique to each candidate, including one’s skills, qualifications, and experience. At 10x, base pay is also just one component of the Company’s total compensation package. This role is also eligible for 10x’s equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. During the hiring process, your 10x recruiter can share more about the Company’s total compensation package. Pay Range $186,500—$252,300 USD About 10x Genomics At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world. We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience. Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference. Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law. 10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.

Responsibilities

Lead the development of advanced analytics frameworks to drive marketing performance and strategic growth. Own the design and delivery of full-funnel marketing insights, attribution models, and performance optimization strategies.