Senior Strategic Data Analyst (Predictive Analytics)
Контакты
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
pythonsqlrdata modelingpower bitableaudashboard developmentpredictive analyticsinstitutional research
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указанаразвернуть
На похожих ролях по рынку
$113к$140кмедиана$158к
48 в выборке
На СНГ рынке: $3.9к/мес ($3к - $4.4к)
84
Хорошая вакансия
развернуть
Обязанности чётко описаны: продвинутый SQL, прогнозная аналитика и работа с руководством крупного исследовательского университета. Обязательный офисный формат и отсутствие визовой поддержки сужают круг тех, кому подойдёт вакансия.
Без визовой поддержки
Современные инструменты
Хороший пакет льгот
Сильная академическая среда
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Strategic Data Analyst (Predictive Analytics): Building enterprise-level KPI dashboards, advanced SQL data models, and predictive analytics for student success and Florida State University System performance metrics with an accent on institutional data integration, forecasting, and executive reporting. Focus on designing complex queries, modeling policy scenarios, identifying performance shortfalls, and translating analytical findings into proactive interventions.
Location: Tampa, Florida, United States; on-site
Company
hirify.global is a public research university serving approximately 50,000 students across campuses in Tampa, St. Petersburg, Sarasota-Manatee, and USF Health.
What you will do
Build, publish, and maintain interactive enterprise-level dashboards for strategic plan KPIs.
Write, optimize, and maintain complex end-to-end SQL queries using student, human resources, and financial systems.
Blend cross-functional data while maintaining data integrity, consistency, security, and documented query logic.
Develop predictive models, forecasts, and scenario analyses for student success, retention, and institutional performance metrics.
Monitor Florida State University System Performance-Based Funding and Preeminent metrics, identify potential shortfalls, and recommend proactive interventions.
Present analytical findings to executive leadership and board members and facilitate requirements discovery with technical and non-technical stakeholders.
Requirements
Bachelor’s degree in Data Analytics, Computer Science, Statistics, or a related field, or up to four years of direct experience as an equivalency.
Five years of experience in data management, business intelligence, or institutional research.
Expert-level proficiency writing complete, advanced SQL queries from scratch.
Experience building production-level dashboards in Tableau, Power BI, or similar tools.
Experience collaborating successfully with multi-level institutional stakeholders.
Experience using predictive analytics tools or statistical programming with Python or R.
Employment eligibility requirements in the United States apply; this position does not support visas.
The position may be subject to a Level 1 or Level 2 criminal background check.
Nice to have
Master’s degree in Data Analytics, Computer Science, Statistics, or a related field.
Three years of experience in data management, business intelligence, or institutional research.
Prior experience within the Florida State University System.
Familiarity with Banner, OracleHR, or equivalent higher education ERP systems.
Culture & Benefits
Work in a research-focused academic environment with opportunities for employee development and advancement.
Medical, dental, and life insurance plans.
Retirement plan options and employee and dependent tuition programs.
Generous leave and employee perks and discounts.
Reasonable accommodations are available during the application process upon request at least five working days before needed.
Будьте осторожны
Если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого. Это мошенники. Обязательно жмите «Пожаловаться» или пишите в поддержку. Подробнее в гайде →