Data Analyst at Workforce Opportunity Services in Not specified

Data Analyst at Workforce Opportunity ServicesNot specified — full-time

Overview

Workforce Opportunity Services (WOS) is a leading 501(c)(3) nonprofit dedicated to developing the skills of high-potential individuals who may not have access to career opportunities. Through strategic partnerships, WOS connects motivated talent with organizations seeking to expand their workforce with skilled professionals.

Utilizing a scientifically-based model derived from research conducted at Columbia University, we recruit, educate, train, and place high-potential talent with leading organizations around the world.

We're seeking a strategic, insights-driven Data Analyst to join our team and elevate our data capabilities beyond reporting dashboards. Positioned above a traditional Power BI Analyst, this role is responsible for translating complex data into actionable insights that influence key business decisions. You’ll work closely with stakeholders across departments to build scalable data models, drive data strategy, and develop advanced analytics that go beyond visualization.

Responsibilities

Develop and maintain robust data models that support business operations, forecasting, and performance monitoring using tools like Databricks, Snowflake, and relational databases.
Conduct deep-dive analyses to uncover trends, anomalies, and opportunities for growth or improvement.
Collaborate with stakeholders to understand business questions and translate them into data-driven insights.
Optimize and expand reporting infrastructure beyond Power BI — integrating SQL, Databricks notebooks, Snowflake queries, Python, R, or other tools to support scalable solutions.
Partner with Data Engineering and IT teams to ensure data integrity, availability, and automation of key data pipelines, particularly in cloud environments using Snowflake and Databricks.
Present clear, actionable insights to both technical and non-technical stakeholders.
Mentor junior analysts and contribute to data literacy across the organization.

Qualifications

Candidate Profile:

Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, Business Analytics, or related field.
3+ years of experience in data analytics, with proven success influencing business outcomes.
Proficiency in SQL and experience working with relational databases and cloud-native platforms like Snowflake.
Strong experience with