FocusKPI, Inc.
Senior Analytics Engineer
FocusKPI is seeking a Senior Analytics Engineer to join a B2B & SaaS company that operates an AI-powered Global Work Platform.
Work Location Palo Alto, CA (on-site 3 days a week), hybrid role
Duration 6-month contract with possibility of extension or conversion depending on performance
Pay Range $70+/hr
No C2C resumes are considered
Responsibilities
Build and maintain well-structured, performant data models in dbt following best practices and version control standards.
Partner with business stakeholders to gather requirements and translate them into scalable data models and analytics solutions.
Collaborate cross-functionally (product, engineering, finance, marketing, etc.) to understand business needs and deliver actionable insights.
Gain expert-level knowledge of data systems, ensuring data quality and integrity.
Develop and optimize Looker dashboards, Explores, and reports to enable self-service analytics across the business.
Experiment with and implement AI-powered features in Snowflake Cortex and Looker's Gemini to accelerate insight generation and decision-making.
Qualifications
5+ years of experience in an analytics engineering, business intelligence, or similar role.
3+ years of hands-on experience with dbt for data transformation.
Proficiency in SQL and in building reports and dashboards using Looker, Tableau, or Power BI.
An understanding of data modeling concepts and best practices for building scalable reporting solutions.
Experience collaborating with teams to create data solutions that meet organizational needs.
Familiarity with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery) and modern data stack (Fivetran, Atlan, Airflow, and Monte Carlo).
Experience communicating updates and resolutions to customers and other partners, and turning complex data into easy-to-understand insights.
Thank you! FocusKPI Hiring Team
#J-18808-Ljbffr
Work Location Palo Alto, CA (on-site 3 days a week), hybrid role
Duration 6-month contract with possibility of extension or conversion depending on performance
Pay Range $70+/hr
No C2C resumes are considered
Responsibilities
Build and maintain well-structured, performant data models in dbt following best practices and version control standards.
Partner with business stakeholders to gather requirements and translate them into scalable data models and analytics solutions.
Collaborate cross-functionally (product, engineering, finance, marketing, etc.) to understand business needs and deliver actionable insights.
Gain expert-level knowledge of data systems, ensuring data quality and integrity.
Develop and optimize Looker dashboards, Explores, and reports to enable self-service analytics across the business.
Experiment with and implement AI-powered features in Snowflake Cortex and Looker's Gemini to accelerate insight generation and decision-making.
Qualifications
5+ years of experience in an analytics engineering, business intelligence, or similar role.
3+ years of hands-on experience with dbt for data transformation.
Proficiency in SQL and in building reports and dashboards using Looker, Tableau, or Power BI.
An understanding of data modeling concepts and best practices for building scalable reporting solutions.
Experience collaborating with teams to create data solutions that meet organizational needs.
Familiarity with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery) and modern data stack (Fivetran, Atlan, Airflow, and Monte Carlo).
Experience communicating updates and resolutions to customers and other partners, and turning complex data into easy-to-understand insights.
Thank you! FocusKPI Hiring Team
#J-18808-Ljbffr