ExecutivePlacements.com
Job Description
Data Analyst (Hybrid) Client: Confidential SaaS Analytics Firm Location: Seattle, WA – Hybrid (23 days/week onsite) Local candidates highly preferred Start ASAP Duration: 6‑Month Contract with strong extension potential
Job Requirements Skills:
Advanced SQL
Power BI/Tableau/Looker
ETL concepts
Data Modeling
Excel
Python/R (nice to have)
Stakeholder Reporting
Experience & Qualifications:
Strong proficiency in writing complex SQL queries, joins, CTEs, and window functions
Hands‑on experience building interactive dashboards and reports using a BI tool (Power BI, Tableau, or Looker)
Ability to translate business questions into analytical requirements and measurable KPIs
Experience working with large datasets, data cleansing, and validating data accuracy
Understanding of basic data modeling concepts (star schema, dimensions, facts)
Comfortable performing ad‑hoc analysis for leadership and presenting insights in a clear, concise way
Experience collaborating with cross‑functional teams (Product, Finance, Operations, Sales)
Ability to document data definitions, data sources, and reporting logic
Familiarity with ETL workflows and partnering with data engineering teams
Strong communication skills and ability to manage multiple priorities in a fast‑paced environment
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Job Requirements Skills:
Advanced SQL
Power BI/Tableau/Looker
ETL concepts
Data Modeling
Excel
Python/R (nice to have)
Stakeholder Reporting
Experience & Qualifications:
Strong proficiency in writing complex SQL queries, joins, CTEs, and window functions
Hands‑on experience building interactive dashboards and reports using a BI tool (Power BI, Tableau, or Looker)
Ability to translate business questions into analytical requirements and measurable KPIs
Experience working with large datasets, data cleansing, and validating data accuracy
Understanding of basic data modeling concepts (star schema, dimensions, facts)
Comfortable performing ad‑hoc analysis for leadership and presenting insights in a clear, concise way
Experience collaborating with cross‑functional teams (Product, Finance, Operations, Sales)
Ability to document data definitions, data sources, and reporting logic
Familiarity with ETL workflows and partnering with data engineering teams
Strong communication skills and ability to manage multiple priorities in a fast‑paced environment
#J-18808-Ljbffr