Senior Analytics Engineer developing data pipelines and analytics capabilities for a data-driven analytics company. Collaborating with stakeholders to build trustworthy datasets for impactful decision-making.
Responsibilities
Lead the design, build, and maintenance of data pipelines that power GTM attribution, account health, ROI, and product usage analytics.
Collaborate with stakeholders to produce clean, structured datasets that simplify access and analysis for GTM and Product teams.
Augment and improve our customer data platform (CDP), ensuring data accuracy and completeness for downstream consumers.
Translate ambiguous stakeholder needs into data models and dashboards that support strategic business decisions.
Establish trust in data through testing, validation, documentation, and quality monitoring.
Drive medium- to long-term roadmap initiatives that reduce data science dependency and improve product metric reliability.
Requirements
Bachelor’s Degree in a quantitative field such as Computer Science, Statistics, Engineering, or a related discipline.
5+ years of experience in analytics engineering, data engineering, or similar roles.
Hands-on experience with dbt (DBT Core + Github Actions) for modern data transformation and modeling workflows.
Expertise in SQL, including writing efficient and complex queries for large-scale data transformation and modeling.
Proficiency in Python for data transformation, automation, and workflow orchestration.
Experience with collaborative software development practices including version control (Git) and CI/CD pipelines.
Hands-on experience in ETL/ELT pipeline development and data modeling (e.g., star/snowflake schemas).
Familiarity with data warehousing platforms like BigQuery, Snowflake, or Redshift.
Strong communication skills and experience working cross-functionally with both technical and non-technical partners.
A proactive, collaborative mindset and the ability to work autonomously in ambiguous environments.
Comfort navigating stakeholder priorities in a high-growth startup environment.
Benefits
Comprehensive Medical, Vision, and Dental Care
Mental Wellness Benefit
Generous Vacation Policy & Additional Company Holidays
Enhanced Parental Leave
Volunteer Time Off
Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break
Analytics Engineer transforming raw data into actionable insights to support decision - making in data marketing. Working with various data technologies in a hybrid internship role in Paris.
Analytics Engineer driving the architecture and scalability of data models and pipelines at Preply. Collaborating across teams to empower data - driven decision - making in education tech.
Analytics Engineer for Customer Product Analytics team at Just Eat Takeaway.com. Enhancing user experience by delivering data - driven insights and optimizing product experience in a hybrid role.
Analytics Engineer transforming raw data into organized datasets. Collaborating with business teams to ensure data quality and governance in Azure environment.
Data Engineer creating scalable data pipelines for Capgemini's analytics solutions using modern ETL tools. Involves data storage and management using platforms like Snowflake and Redshift.
Analytics Engineer blending data analysis, business intelligence, and data engineering for a healthcare software company. Creating dashboards and data models to empower decision - making and improve healthcare outcomes.
Lead Web Analytics Developer architecture and implementation of web analytics tools at Hostinger. Collaborate with teams to enhance user experience and improve conversion rates.
Principal managing analytics engineering projects for private equity, leveraging AI technology. Leading cross - functional teams and contributing to business development in a hybrid work environment.
Prototyping analytical tools developed by the engineering and analytics teams for Clir Renewables. Collaborating on automation scripts and methods for renewable energy analysts.
Analytics Engineer Sr developing data pipelines and analytics solutions for Brazil's retail industry. Collaborating with marketing and product teams to optimize data usage and performance.