Senior Data Analytics Engineer - Data Insights

Appfire is a software company that empowers teams to collaborate seamlessly and is seeking a Senior Data Analytics Engineer. In this role, you will build and activate the company-wide data asset from ground up data sources, working with stakeholders to create reliable data models and metrics for reporting and analysis.

Responsibilities:

• Understand decision needs by interfacing with fellow Analytics Engineers, Data Engineers, Data Analysts and Business Partners
• Architect, build, and launch efficient & reliable data models and pipelines in partnership with Data Engineering, leveraging DBT and Snowflake
• Design and implement metrics and dimensions enabling self-service analysis and structured views of Appfire’s KPI’s that scale trust, accountability and decision impact
• Define and share best practices on metric, dimension, and data model development and definitions for analytics use cases

Requirements:

• 5+ years of relevant industry experience
• Passion for high data quality and impactful analytics engineering work
• Expert SQL skills for data modeling and query optimization
• Extensive experience with self service, advanced analytics, semantic and metrics layers
• 3+ Years of Experience with Python and DBT
• Strong understanding of data warehousing concepts and best practices
• Efficient problem-solving and analytical skills
• Proven ability to succeed in both collaborative and independent work environments at a remote-work company
• Proven experience managing concurrent complex data projects from start to finish
• Continuous learner with an eye on industry trends and new technologies
• Excellent communication and documentation skills with the ability to explain technical concepts to a non-technical audience
• Ability to effectively leverage AI tools and techniques to enhance dbt development, increase efficiency, and strengthen documentation
• Experience with dbt (Data Build Tool) and its implementation for data transformation and modeling
• Proven experience with data wrangling and designing/developing experience owning end to end SDLC and implementation, with full ownership of stakeholder management and expectation setting, prioritization, development and delivery
• Proficiency in source code management tools such as GIT, BitBucket, etc
• Experience working with Cloud Technologies (AWS/GCP/Azure)
• Experience working with various semi structured data formats (ex. JSON)
• Experience building data solutions for future scale and analytics use-cases
• 3+ years of development experience on industry standard BI tools
• ML analytics engineering experience a plus
• Marketing Analytics experience a plus