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обновлено 5 дней назад

Sr. Data Analyst

60 000 - 75 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Sr. Data Analyst (SQL/Python/Healthcare Data): Translating commercial and business requirements into technical data specifications, extracting and validating large healthcare datasets, and delivering actionable analytics with an accent on complex SQL, cloud data environments, and automated Python workflows. Focus on optimizing large-scale queries, ensuring data quality, supporting client deliverables and pre-sales activities, and communicating findings to technical and non-technical stakeholders.

Location: New York; hybrid workplace

Salary: $60,000–$75,000 per year, based on experience, plus equity in the form of Restricted Stock Units

Company

hirify.global provides healthcare information and data-driven insights to improve doctor interactions, health equity, patient outcomes, and drug development.

What you will do

  • Partner with Commercial, Sales, Business, Operations, Strategy, and Data Engineering stakeholders to translate business needs into technical data specifications.
  • Write and optimize complex SQL queries using joins, CTEs, subqueries, and window functions to extract and transform large datasets from cloud environments.
  • Use Python, pandas, and NumPy to automate workflows, build reusable scripts, and perform data manipulation and validation at scale.
  • Perform end-to-end QA and validation of data deliverables, resolving data gaps, quality issues, and ambiguous requirements.
  • Present analytical findings clearly to technical and non-technical audiences while managing concurrent requests and competing priorities.
  • Support pre-sales and RFP activities, documentation, analytics best practices, and self-service reporting capabilities.

Requirements

  • 3–5 years of professional experience in data analytics or business intelligence.
  • Expert-level SQL proficiency, including complex joins, CTEs, window functions, subqueries, and performance optimization across large datasets.
  • Hands-on Python experience with pandas and NumPy for data manipulation, automation, validation, and analytical scripting.
  • Proficiency with AWS Athena or a comparable cloud data warehouse such as Snowflake, BigQuery, or Redshift.
  • Ability to translate ambiguous business requirements into clear, executable technical data specifications.
  • Experience performing end-to-end QA and validation on high-stakes analytical deliverables.
  • Excellent communication skills and the ability to explain complex data findings to non-technical stakeholders.
  • Experience managing multiple concurrent requests and prioritizing competing business needs.

Nice to have

  • Experience with Power BI, Tableau, or Looker for dashboard and report development.
  • Familiarity with healthcare data, including medical claims, clinical trials, healthcare providers and organizations, or health insurance terminology.
  • Experience supporting pre-sales, RFP responses, or client-facing data deliverables.

Culture & Benefits

  • Hybrid work in New York.
  • Health insurance options and generous paid time off.
  • Company-wide wellness holidays and retirement options.
  • Health and charitable donation stipends.
  • Business Resource Groups and an inclusive equal opportunity workplace.
  • Work with biotech and life sciences companies in an industry focused on improving healthcare.

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