- Company Name
- Together AI
- Job Title
- Marketing Data Analytics Engineer
- Job Description
-
**Job Title:** Marketing Data Analytics Engineer
**Role Summary:** A data-driven professional responsible for analyzing marketing performance, optimizing operations, and leveraging analytics tools to drive strategic decision-making.
**Expectations:**
Collaborate with cross-functional teams to align marketing and revenue goals, automate reporting, and enhance data-driven campaign strategies.
**Key Responsibilities:**
- Develop and maintain marketing dashboards and reports for campaign performance, pipeline contribution, and ROI using tools like Tableau/Power BI.
- Analyze CRM, web analytics, and advertising data to identify trends, optimize campaigns, and track metrics (MQLs, CAC, LTV, etc.).
- Build and manage Snowflake data tables for marketing datasets.
- Ensure data integrity in marketing systems (e.g., lead scoring, routing, segmentation).
- Optimize marketing tech stack (Salesforce, Pardot, Google Analytics) and workflows.
- Forecast performance, conduct deep-dive analyses, and provide actionable insights to stakeholders.
- Implement lead scoring models, nurturing programs, and audience targeting strategies.
- Document processes and train teams on marketing tools and best practices.
**Required Skills:**
- Proficiency in SQL, Python/R, and data visualization tools (Tableau, Power BI).
- Experience with marketing automation platforms (Pardot, HubSpot, Marketo).
- Advanced Excel skills (pivot tables, VLOOKUP, complex formulas).
- Strong analytical skills for interpreting campaign data and ROI metrics.
- Understanding of marketing funnel mechanics, lead management, and attribution models.
- Expertise in data table creation (Snowflake) and web analytics platforms (Google Analytics).
- Project management capabilities in fast-paced environments.
- Excellent communication to translate data into actionable strategies for non-technical stakeholders.
**Required Education & Certifications:**
- Bachelor’s in Marketing, Business, Statistics, Economics, Computer Science, or related quantitative field.
- 5–7 years in marketing analytics, operations, or BI, preferably in B2B SaaS.
- Demonstrated experience in data analysis, marketing tech optimization, and cross-functional collaboration.
San francisco, United states
Hybrid
Mid level
07-09-2025