Senior Data Analyst

Stride, Inc.•US - VA - Remote, VA

1d•$81,046 - $148,000•Remote

About The Position

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.

Requirements

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

Nice To Haves

(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

Responsibilities

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.