About the role

Senior Operational Data Analyst developing data-driven advisory services and toolkits for state clients. Supporting education and workforce data analysis focusing on employment pathways and trends.

Responsibilities

Support the Education Analytics and Technical Services team in developing a portfolio of data-driven advisory services and toolkits to help state clients leverage their data to analyze graduate-to-employment pathways.
Support the establishment and operation of formal Education Economics offices, focusing on supply-demand analytics for occupations and skills, employment outcomes, and workforce trends.
Emphasize applying data analysis to generate actionable insights and related products that enhance workforce competitiveness and strengthen pathways to opportunity for individuals.
Balance advanced data analysis with hands-on secure operational management of the cloud data infrastructure, focusing on ELT pipelines, data catalogs, and integration of diverse education and workforce datasets.
Support Strada’s Education Analytics and Technical Services team by creating actionable insights that enhance workforce competitiveness and opportunity pathways.

Education: a bachelor’s degree in data analytics, computer science, education or social science research, mathematics, business, or a related field or equivalent work experience; master’s degree preferred.
3-5 years minimum experience conducting analysis on complex datasets.
Familiarity with R Studio, Python, SQL, SAS/STAT, Stata or other data & statistical analysis.
Experience leveraging cloud-based data warehouse environments such as Google Cloud Platform, or similar cloud infrastructure for data management, transformation, analysis and reporting.
Experience with visualization tools such as Tableau, Power BI or other business intelligence platforms.
Familiarity with educational, government labor and state workforce data.
Knowledge of workforce and economic data product APIs and data shares (e.g., Lightcast, Chmura, Moody’s) and integrating these into data ecosystems.
Familiarity with quantitative and qualitative research methods.
Excellent strategic analysis and problem-solving skills.
Excellent communication (verbal and written) and interpersonal skills.
Experience using project management methodologies for analysis projects.
Ability to multi-task and work under time pressure.

plus bonus
The pay range listed is based on national compensation benchmark data and may vary depending on skills, experience, job-related knowledge, variations in cost of labor, and in some cases, geographic location.
The exact job offer will be determined based on several factors such as the candidate’s individual skills, qualifications and experience relative to the requirements of the role.
The range displayed with the job posting represents the minimum and maximum target for new hire salaries for the position across the U.S.
The company also reviews and considers internal equity (current employee salary) when hiring new employees to the organization.
The range is the expected starting base salary for someone hired into this position with room to grow professionally, including increased earning potential beyond the starting pay range.
Beyond a new hire’s base salary, Strada also offers all full-time employees a comprehensive employee benefit package.