Senior Data Analyst

Stride, Inc.

Senior Data Analyst leading complex analytics for Stride, Inc. to inform business decisions and insights through collaboration with research and data science teams.

Posted 6/5/2026full-timeRemote • Virginia • 🇺🇸 United StatesSenior💰 $81,045 - $148,000 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

data analysisSQLPythondata visualizationdata modelinganalyticsstatisticsdata engineeringrelational databasesDBT

Soft Skills

collaborationcommunicationstakeholder managementproblem-solvinganalytical thinking

Tools & Technologies

GitHubdashboard servicesreporting services

Certifications & Qualifications

Bachelor’s degree in Data AnalyticsBachelor’s degree in Computer ScienceBachelor’s degree in MathematicsBachelor’s degree in Statistics

Industry Keywords

analytic approacheslarge datasetsconfidential databusiness constraintssuccess metrics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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
Demonstrated experience in handling large data sets and relational databases for data products
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

Benefits

Comp & perks

health benefits
retirement contributions
paid time off