Senior Data Analyst – Workforce Planning & Analytics

Skill; Redmond (WA); On-site; USD 97,809 - 104,697; Full time

Job summary

Aquent partners with a leading global technology company to hire a Data Analyst who will transform strategic workforce planning and operational data. You will build and maintain data pipelines, ensure data quality, and deliver insights that drive data‑informed decisions across a large enterprise.

The role emphasizes SQL, Python, and cloud analytics, with collaboration across stakeholders to develop analytical solutions and automation that support reporting and planning at scale.

Qualifications

• Bachelor's degree in a technical field required.
• 5+ years of applicable experience required.
• Experience with data engineering and cloud technologies preferred.

Responsibilities

• Develop, maintain, and enhance staffing and workforce planning models.
• Build and optimize data pipelines using Data Factory and related cloud services.
• Develop analytical solutions and automation using SQL and Python.
• Manage and support SQL environments, including database administration, monitoring, and performance tuning.
• Support data integrations, ETL processes, and reporting solutions.
• Work with tabular data models, including Analysis Services cubes.
• Ensure data quality, reliability, and scalability across planning and reporting platforms.
• Partner with business stakeholders to translate workforce planning requirements into analytical solutions.

Skills

Advanced SQL

Python

SQL Server Admin

Data Factory

Analytical modeling

SSAS cubes

Cloud data platforms

Data analysis

Communication skills

Education

Bachelor's degree in a technical field

5+ years of applicable experience

Tools

SSAS cubes

SQL Server management tools

Job description

Aquent partners with a leading global technology company to hire a Data Analyst who will transform strategic workforce planning and operational data. You will build and maintain data pipelines, ensure data quality, and deliver insights that drive data‑informed decisions across a large enterprise.

The role emphasizes SQL, Python, and cloud analytics, with collaboration across stakeholders to develop analytical solutions and automation that support reporting and planning at scale.