Senior Analytics Engineer

FocusKPI

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profile Job Location:

Palo Alto, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 28 days ago
Vacancies: 1 Vacancy

Job Summary

FocusKPI isseeking aSenior Analytics Engineerto join one of our clients a B2B & SaaS company that operatesan 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 Lookers 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 and 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!

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. FocusKPIs recruiting team will strictly reach out via @ email domain. If you have received fraudulent emails now or in the past please report it to .
The domain @ is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @.


Required Experience:

Manager

FocusKPI isseeking aSenior Analytics Engineerto join one of our clients a B2B & SaaS company that operatesan 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 modeli...
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Key Skills

  • Adobe Analytics
  • Data Analytics
  • SQL
  • Attribution Modeling
  • Power BI
  • R
  • Regression Analysis
  • Data Visualization
  • Tableau
  • Data Mining
  • SAS
  • Analytics

About Company

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FocusKPI offers custom marketing analytics solutions and specialized data science support to fit your timeline and budget. Among our areas of expertise are: personalization solutions, measurement (MMM & MTA), and customer sentiment analysis.

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