Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$125к/год
$110к$130кмедиана$160к
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Вакансия дает понятную ответственность senior-уровня за аналитику и миграцию данных, но широкий набор клиентских и лидерских задач может сделать роль довольно нагруженной.
?Широкий круг задач
Современный стек
Бюджет на обучение
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Data Analyst (Data Migration): Aggregating and analyzing client data, designing measurement frameworks, and validating reporting and data assets during migration to modern cloud platforms with an accent on advanced analytics, data quality, and business alignment. Focus on defining reconciliation checks, proving parity between legacy and target environments, shaping data contracts, and leading client-facing discovery and delivery activities.
Location: Atlanta, United States. People Before Place hybrid model with a regular in-office presence required for client and internal engagements.
Minimum base compensation: $125,000 annually.
Company
hirify.global is a technology services firm and custom software developer building scalable software solutions for innovative enterprises.
What you will do
Aggregate and analyze client data to derive business optimization insights and communicate recommendations to clients and internal teams.
Design end-to-end measurement frameworks for complex data structures and lead advanced analytics strategies.
Develop reusable analytics templates and workflows, evaluate tooling improvements, and support standardization across projects.
Partner with product, engineering, design, business, and executive stakeholders to shape roadmaps, refine business questions, and guide data-led decisions.
Lead client discovery sessions, problem-solving workshops, analytics initiatives, and data-related statements of work.
Validate reporting and data assets for migration, reverse-engineer BI logic, define reconciliation checks, prove parity between legacy and target environments, and support cutover, testing, and training.
Requirements
5–8 years of experience as a data analyst.
Experience in consulting or a professional services organization.
Experience supporting data migration or platform modernization projects, including source-to-target mapping and validation of migrated data.
Bachelor’s degree in data science, a quantitative or analytical field, or a similar discipline.
Working familiarity with data warehouses, product analysis, statistical analysis tools, large datasets, and data reliability and consistency management.
Experience with SQL, Python, Databricks or comparable lakehouse platforms, and medallion architecture data models.
Experience with customer engagement platforms such as MoEngage or Braze, reverse ETL tools such as Hightouch, and observability or BI tools such as DataDog, Anomalo, Tableau, Cognos, Looker, or Power BI.
Experience with implementation and analytics tools such as Google Tag Manager, Google Analytics, Pendo, or Amplitude, plus familiarity with Microsoft Office Suite.
Employment visa sponsorship is not available. Existing employment visas must be valid for at least three years from the application date.
Nice to have
Ability to test APIs using tools such as Postman and curl.
Experience with agile work management tools such as Jira.
Culture & Benefits
Full-time employment with a hybrid work model and travel associated with regular in-person engagements.
Health, vision, and dental plan options from the first day of employment.
401(k) with above-average company matching and company-paid life, disability, and AD&D insurance.
Paid time off, paid holidays, flexible spending and health savings account options, and employee assistance programs.
$1,500–$3,000 annual industry education budget and access to employee discount programs.
Culture centered on integrity, respect, continuous learning, knowledge sharing, and new challenges.
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