FocusKPI
FocusKPI is seeking a Senior Analytics Engineer to join one of our clients a B2B & SaaS company that operates an AI-powered Global Work Platform.
The client is looking for a Sr. Analytics Engineer to join their dynamic BI team. You will use your expertise in data analytics, data modeling, transformation and reporting to deliver scalable reliable and insightful data solutions. You will shape their analytics infrastructure, guide data-driven decision‑making and ensure that teams across the organization have access to accurate data. This position is ideal for someone who loves transforming raw data into actionable insights and building reporting solutions that empower teams and meet the needs of multiple partners.
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 your performance in the future
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 their 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 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 our needs.
Familiarity with cloud data warehouses (e.g. Snowflake, Redshift, BigQuery) and modern data stack (Fivetran, Atlan, Airflow, Monte Carlo).
Experience communicating updates and resolutions to customers and other partners and experience turning complex data into easy‑to‑understand insights.
No C2C resumes are considered
Thank you!
#J-18808-Ljbffr
The client is looking for a Sr. Analytics Engineer to join their dynamic BI team. You will use your expertise in data analytics, data modeling, transformation and reporting to deliver scalable reliable and insightful data solutions. You will shape their analytics infrastructure, guide data-driven decision‑making and ensure that teams across the organization have access to accurate data. This position is ideal for someone who loves transforming raw data into actionable insights and building reporting solutions that empower teams and meet the needs of multiple partners.
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 your performance in the future
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 their 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 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 our needs.
Familiarity with cloud data warehouses (e.g. Snowflake, Redshift, BigQuery) and modern data stack (Fivetran, Atlan, Airflow, Monte Carlo).
Experience communicating updates and resolutions to customers and other partners and experience turning complex data into easy‑to‑understand insights.
No C2C resumes are considered
Thank you!
#J-18808-Ljbffr