Senior Analytics Engineer at FocusKPI Inc.

Palo Alto, California, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Jan, 26

Salary

70.0

Posted On

18 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Data Modeling, Data Transformation, Reporting, SQL, Looker, Tableau, Power BI, Cloud Data Warehouses, Snowflake, Redshift, BigQuery, AI-Powered Features, Collaboration, Data Quality, Data Integrity, Business Intelligence

Industry

Data Infrastructure and Analytics

Description

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's Gemini to accelerate insight generation and decision-making. Qualifications: 8+ years of experience in an analytics engineering, business intelligence, or similar role. 4+ 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, and Monte Carlo) Experience communicating updates and resolutions to customers and other partners, and experience turning complex data into easy-to-understand insights. Note: Team is looking for candidates with experience as Sr. Analytics Engineers - people who can raise the bar. **No C2C resumes are considered** Thank you! FocusKPI Hiring Team Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusettss. NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to https://reportfraud.ftc.gov/ . The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

Responsibilities

The Senior Analytics Engineer will build and maintain data models and analytics solutions while collaborating with various business stakeholders. This role involves shaping the analytics infrastructure and ensuring data-driven decision-making across the organization.