Analytics Engineer

Location: Office - Bengaluru, India

Department: Operations

About the Role

At HubSpot, we're building the ultimate platform for inbound marketing, sales, and customer success, powering growth for thousands of businesses worldwide. As an Analytics Engineer in our Operations team, you'll play a pivotal role in transforming raw CRM and marketing data into actionable insights that fuel our flywheel. You'll design robust data pipelines that integrate HubSpot's rich dataset with external sources, enabling data-driven decisions in our high-growth environment. If you thrive in a culture that values transparency, humility, empathy, adaptability, and remarkable (HEARTWAY), this is your chance to scale impact at a world-class SaaS company. Your core work will involve architecting scalable analytics infrastructure using modern tools like dbt and Snowflake, ensuring our teams have reliable access to metrics on customer journeys, marketing ROI, and revenue attribution. You'll partner closely with inbound marketing, sales ops, and product teams to model data that reveals growth opportunities, optimizes campaigns, and personalizes customer experiences. In this role, expect to tackle complex challenges like real-time data syncing from HubSpot APIs, handling petabyte-scale queries, and automating quality checks to maintain trust in our analytics ecosystem. HubSpot's growth culture means you'll have autonomy to innovate, with support from a world-class engineering team and access to cutting-edge resources. You'll contribute to strategic initiatives that directly influence our product's evolution, from enhancing reporting in HubSpot's native tools to pioneering new ways to measure inbound success. Join us to grow your career alongside top talent, in a flexible, inclusive environment where your work powers the next era of customer-centric growth.

Key Responsibilities

• Design, build, and maintain scalable data pipelines to support HubSpot's analytics needs
• Collaborate with data analysts, marketers, and sales teams to define data requirements for inbound marketing and CRM insights
• Implement data models optimized for HubSpot CRM data, enabling real-time reporting and forecasting
• Ensure data quality, integrity, and governance across analytics platforms
• Optimize ETL/ELT processes using tools like dbt to handle large-scale marketing and customer data
• Develop dashboards and self-service analytics tools to drive data-informed decisions in a growth culture
• Integrate HubSpot data with other sources to provide holistic views of customer journeys
• Monitor and troubleshoot data pipelines for performance and reliability
• Contribute to the evolution of HubSpot's data infrastructure to support rapid scaling
• Partner with engineering teams to embed analytics into product features for inbound growth
• Document data pipelines, models, and processes for team-wide adoption

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
• 3+ years of experience in analytics engineering, data engineering, or a similar role
• Proficiency in SQL and experience with data warehousing solutions like Snowflake, BigQuery, or Redshift
• Strong experience with ETL/ELT processes and tools such as dbt, Airflow, or Fivetran
• Demonstrated ability to build and maintain scalable data pipelines for analytics
• Experience working with CRM data, preferably HubSpot or similar platforms
• Solid understanding of data modeling, schema design, and data quality best practices
• Ability to collaborate cross-functionally in a fast-paced, growth-oriented environment

Preferred Qualifications

• Experience with HubSpot CRM APIs and inbound marketing data structures
• Familiarity with Python or R for data processing and analytics
• Knowledge of BI tools like Looker, Tableau, or HubSpot's reporting features
• Previous exposure to marketing analytics or revenue operations
• Certification in dbt, Snowflake, or HubSpot
• Experience in a SaaS or high-growth tech company

Required Skills

• Advanced SQL querying and optimization
• Data pipeline orchestration (dbt, Airflow)
• ETL/ELT tool expertise (Fivetran, Stitch)
• Data warehousing (Snowflake, BigQuery)
• CRM data handling (HubSpot APIs)
• Data modeling and schema design
• Python or R scripting
• BI visualization (Looker, Tableau)
• Data quality and governance
• Problem-solving in ambiguous environments
• Cross-functional collaboration
• Agile methodologies
• Statistical analysis basics
• Cloud platforms (AWS, GCP)
• Version control (Git)
• Communication and stakeholder management
• Growth mindset and adaptability

Benefits

• Competitive salary and equity in a publicly traded SaaS leader
• Comprehensive health, dental, and vision insurance with 100% premium coverage for employees
• Unlimited PTO and flexible work-from-anywhere policy embracing HubSpot's HEARTWAY culture
• 401(k) match and employee stock purchase plan
• Professional development stipend and access to HubSpot Academy certifications
• Parental leave, fertility benefits, and family-forming support
• Wellness programs including mental health resources and gym reimbursements
• Quarterly offsites, volunteer days, and events fostering growth and connection
• Home office setup allowance and cutting-edge tech equipment

HubSpot is an equal opportunity employer.