Key Responsibilities:

• Team Leadership & Mentorship: Hire, lead, coach, and develop a high-performing team of product and marketing analysts.
• Analytics Strategy & Execution: Own the company's marketing measurement, experimentation, and insight generation for paid, owned, and integrated channels, and for performance across acquisition, activation, engagement, retention, and LTV.
• Hands-On Analysis: Perform deep-dive analyses to uncover insights that inform product and business decisions.
• Cross-Functional Collaboration: Act as a strategic thought partner to identify opportunities, measure success, and optimize Marketing and product performance.

Requirements:

• 10+ years of experience in analytics, with at least 2 years in a people management role.
• Strong technical skills in SQL, Python, data visualization tools (Amplitude, Tableau) and experimentation.
• Has direct experience in marketing analytics using Media Mix Models (MMM), difference-in-differences and other causal inference techniques.
• Proven track record of leading high-performing marketing or product analytics teams.
• Excellent communication and storytelling skills.
• Ability to balance strategic thinking with hands-on execution.

XML job scraping automation by YubHub

In this role, you will report to the Head of Platforms & Infrastructure and play a central role in shaping how Mercury models, governs, and operationalizes GTM data. You’ll partner closely with Data Engineering, Data Science, Solution Architecture, Platform Engineering, etc.

Some key responsibilities include:

• Owning the definition, structure, and reliability of data originating from revenue platforms (e.g., Salesforce, GTM tools, automation systems)
• Serving as the primary decision owner for GTM-sourced tables and views used for revenue execution, forecasting inputs, lifecycle tracking, and signal-based workflows
• Designing and evolving core GTM data models across Salesforce, ETL, and analytics layers
• Partnering with Data Engineering to align GTM schemas with enterprise data models and define clear data contracts between source systems and downstream consumers
• Partnering with Data Science / Analytics to ensure revenue data is interpretable, statistically sound, and reflects how the business actually operates
• Owning clarity around data ownership boundaries, shared dependencies, and escalation paths when upstream or downstream changes impact revenue integrity
• Defining and upholding data quality, freshness, consistency, and documentation standards for revenue platforms
• Monitoring and improving pipeline reliability, performance, and scalability, proactively identifying fragile or redundant transformations
• Identifying opportunities to automate manual or error-prone data workflows and reduce operational overhead
• Acting as a data thought partner to Platforms & Infrastructure, Revenue Operations, Analytics, and Security , advising on feasibility, tradeoffs, and sequencing for data-heavy initiatives

You should have:

• 7+ years of experience in data engineering or data systems roles within SaaS or technology companies
• Deep experience designing and operating production data pipelines
• Highly proficient in SQL and experienced in data modeling
• Hands-on experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift)
• Experience with ETL / ELT tooling (e.g., dbt, Airflow, Census, or similar)
• Understanding of Salesforce data models and common GTM system architectures
• Ability to translate business concepts into durable, well-structured data models
• Clear communication skills with both technical and non-technical partners

Preferred qualifications include:

• Experience supporting revenue, sales, or customer lifecycle data
• Familiarity with event-based data platforms (e.g., Data Cloud or equivalents)
• Experience working alongside platform engineering and security teams
• Exposure to data governance, access controls, and compliance considerations
• Experience mentoring or guiding other data practitioners

The total rewards package at Mercury includes base salary, equity, and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry.

XML job scraping automation by YubHub