Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
$78к-133к/год
$90к$110кмедиана$140к
По похожим ролям (48) ~ $110к/год
На СНГ рынке: $2.7к/мес ($2.3к - $4.5к)
78
Хорошая вакансия
развернуть
Обязанности аналитика данных и требуемый уровень опыта описаны достаточно четко, а пакет льгот выглядит сильным. При этом сочетание аналитики и инженерных задач может приводить к широкому кругу приоритетов.
Кликните для подробной информации
Широкий круг задачАктуальные технологииСильный пакет льготРелигиозная миссия
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Analyst (Data Analytics): Building and maintaining data analytics solutions, integrations, data quality processes, dashboards, and reports for business users with an accent on Snowflake, SQL, data modeling, and data profiling. Focus on developing source-to-target mappings, validating integration pipelines, enriching internal data with third-party sources, and translating complex analysis into actionable business insights.
Location: Hybrid in the US; the compensation range applies when working in Connecticut. Authorization to work in the US is required. Visa sponsorship is not available.
Salary: $78,000–$132,500 per year.
Company
hirify.global is a Catholic fraternal benefit society providing life insurance, long-term care insurance, disability income insurance, investment, and annuity products, while donating profits to charitable causes.
What you will do
Collaborate with business leaders and stakeholders to understand goals and deliver data analytics solutions supporting markets, membership, sales, investments, and charitable giving.
Develop source-to-target mappings, complex analytical queries, data models, and data profiling exercises.
Create data validation and quality assurance test cases for data integration pipelines.
Identify and enhance internal and external data sources, including enrichment with third-party data.
Build data visualizations, dashboards, and reports for internal and external use.
Coordinate with department managers, IT, IT Security, the data warehouse, vendors, and contractors on enterprise and departmental data needs.
Requirements
BA or BS in Business, Statistics, Analytics, Marketing, or a related area, or equivalent professional experience.
3–5 years of data analysis or data engineering experience supporting business functions and business-unit data building and analysis.
Experience with business process improvement using data.
Experience with the Snowflake ecosystem and databases or similar applications.
Strong SQL programming skills.
Experience with Data Vault 2.0 and dimensional modeling; familiarity with Data Lakehouse and Medallion architecture.
Proficiency in data modeling, statistical analysis, data engineering, and data visualization.
Ability to analyze, interpret, present, and communicate complex data and insights clearly; identify trends, diagnose problems, and make informed decisions.
Understanding of cloud-based application architectures, change management principles, and project management.
Strong interpersonal, oral, written, analytical, problem-solving, teamwork, listening, and stakeholder communication skills, including work across complex and changing cross-functional environments.
Nice to have
Master’s degree in Business, Statistics, Computer Science, Marketing, or a related area.
Culture & Benefits
Hybrid work environment with flexible workweek schedules.
Paid holidays, vacation, and sick leave.
Certifications, professional designations, and tuition reimbursement.
401(k) with matching contributions and company-funded cash balance retirement plans.
Health, dental, vision, disability, life insurance, Health Savings Account contributions, health club reimbursement, and an Employee Assistance Program.
Paid childbirth leave and parental leave for adoptive and foster parents.
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 →