Senior Data Scientist - Go-To-Market (GTM)
Apollo.ioSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
SaaSIndustries
Position Overview
- Location Type: Remote
- Employment Type: Full-time
- Salary: Not specified
About the team & opportunity: Calendly is seeking a strategic and commercially driven Senior Analytics Engineer to lead data initiatives for our Go-To-Market (GTM) function. You’ll own the GTM data ecosystem, driving high-impact customer engagement and revenue initiatives. In this highly dynamic role, you’ll collaborate with Marketing, Sales, Customer Success, CX, Ops, and Analytics teams to shape and optimize our GTM strategy. As part of the centralized Analytics Engineering team, you’ll report to the Engineering Manager of Data & Analytics while focusing on enabling growth through data-informed insights.
Responsibilities
- GTM Data Strategy & Enablement: Design scalable queries and data syncs to provide customer traits, event data, and insights for GTM teams.
- Lifecycle & State-Based Modeling: Build customer journey models to drive lead prioritization, retention strategies, and precision targeting.
- Website Experimentation & A/B Testing: Support web, CX, and content teams in implementing and analyzing experiments, personalization, and conversion optimizations.
- Data Integrity & Anomaly Detection: Drive adoption of Monte Carlo for GTM data monitoring and issue resolution, ensuring high trust in insights.
- Real-time Data Activation: Ensure timely and reliable data availability across Salesforce, Braze, Segment, and paid media platforms.
- Best Practices & Scalability: Establish data governance and analytics engineering (AE) best practices, aligning with the core data platform and Analytics teams.
- Cross-functional Partnership: Collaborate closely with Marketing, Sales, CX, Ops, and Analytics teams to ensure data is leveraged effectively for business decisions.
Requirements
- Experience: 5+ years of experience working with a SaaS company, partnering with the GTM domain, and building data products in a cloud data warehouse (BigQuery, Snowflake, Redshift, Databricks, etc.).
- SQL Skills: Expert SQL skills with strong attention to data accuracy and integrity (R or Python is a plus).
- dbt Experience: Hands-on experience with Segment for web event tracking and customer data integration, and experience owning a dbt project with engineering best practices (e.g., unit testing, data quality checks, reusable building blocks, etc.).
Application Instructions
- Not specified. (Please refer to Calendly's career page for application instructions.)
Skills
Data Engineering
SQL
Data Modeling
A/B Testing
Data Monitoring
Data Governance
Customer Journey Analysis
Experimentation
Real-time Data Activation
Cross-functional Collaboration
Calendly
Automates scheduling for individuals and businesses
About Calendly
Calendly simplifies scheduling for individuals and businesses by providing a platform that automates the process of setting up meetings and appointments. It integrates with popular calendar systems like Google Calendar, Outlook, and iCloud to ensure users can manage their time efficiently and avoid double-booking. Unlike many competitors, Calendly offers a subscription-based model with a free basic version and several premium plans that include advanced features such as team scheduling and custom branding. This tiered pricing approach allows users to start for free and upgrade as they see the value in additional functionalities. The goal of Calendly is to enhance productivity by reducing the back-and-forth communication typically involved in scheduling meetings.
Atlanta, GeorgiaHeadquarters
2013Year Founded
$341MTotal Funding
SERIES_BCompany Stage
Consumer Software, Enterprise SoftwareIndustries
501-1,000Employees