Galvanize
• $81K — $148K *Qualifications
Responsibilities
Benefits
Job Description
SUMMARY: We are seeking a Senior Data Analyst to lead complex, open-ended analytic work that informs high-impact business and research decisions. This role operates with significant collaboration with research, data science, and business organizations, translating ambiguous questions into rigorous analyses and actionable insights. The ideal candidate combines strong statistical and technical expertise with excellent stakeholder partnership skills and thrives in long-running, evolving problem spaces.ESSENTIAL FUNCTIONS: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties.
· Translate broad questions into well-defined analytic approaches, including defining populations, time windows, comparison groups, and appropriate methodologies;
· Provide ad-hoc analyses to drive insights, provide overviews of major conclusions, constraints or cautions;
· Serve as a technical liaison and subject matter expert for complex analytic questions;
· Recommend best courses of action based on analytic findings, tradeoffs, and business constraints;
· Apply working knowledge across multiple disciplines (analytics, statistics, data engineering, business context) to create innovative solutions;
· Collaborate with researchers, data scientists, reporting, and business stakeholders to define goals, success metrics, and analytic approaches;
· Leverage DBT, SQL, Python and GitHub to extract, transform, and analyze large complex datasets;
· Provide support for products and applications powered through dashboard and reporting services;
· Process confidential data and information according to guidelines.
Supervisory Responsibilities: This position has no formal supervisory responsibilities.
REQUIRED QUALIFICATIONS:
· Bachelor’s degree in Data Analytics, Computer Science, Mathematics, Statistics or related field
· 8-10 years of relevant professional experience with SQL modeling, Data Analysis and visualizations including at least three (5) years of experience performing action and outcome-oriented data analysis OR
· Demonstrated experience in handling large data sets and relational databases for data products
· OR Equivalent combination of education and experience
· Expert-level SQL and strong python for data analysis
· Excellent collaboration, communication, and stakeholder-management skills
· Ability to travel up to 10% of the time
· Ability to clear required background check
Certificates and Licenses: None required.
DESIRED QUALIFICATIONS:
· (5+) years modeling with DBT / Snowflake preferred
· Experience working with educational data, research datasets, or longitudinal data
· Experience working with research and/or data science teams
WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
· This position is virtual and open to residents of the 50 states and D.C.
Compensation & Benefits: Stride, Inc. considers a person’s education, experience, and qualifications, as well as the position’s work location, expected quality and quantity of work, required travel (if any), external market and internal value when determining a new employee’s salary level. Salaries will differ based on these factors, the position’s level and expected contribution, and the employee’s benefits elections. Offers will typically be in the bottom half of the range.
Job Type
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