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6 дней назад

Data Solutions Analyst

Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
middle
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

Data Solutions Analyst (Healthcare): Managing analytical aspects of business products and services life cycle with an accent on data component integration and reporting. Focus on translating high-level business needs into detailed requirements, performing root cause analysis, and ensuring quality delivery of data-driven solutions.

Location: Hybrid for candidates within 50 miles of a Highmark office (onsite Tue-Thu); remote for those outside this radius.

Company

hirify.global is a national health and wellness organization providing integrated healthcare solutions.

What you will do

  • Collaborate with customers and technical teams to capture data and reporting capability needs.
  • Create and maintain data sets, operational reports, and analytical dashboards.
  • Analyze market trends and business data to identify process improvements and competitive insights.
  • Execute test cases and manage defects to ensure high-quality data delivery.
  • Mentor junior team members and provide documentation for project status and requirements.

Requirements

  • 3 years of experience in Information Systems or Technology.
  • Proficiency in SQL and analytical reporting tools.
  • Strong problem-solving and communication skills.
  • Bachelor’s degree in Business Administration, Information Systems, or related field.
  • Ability to work in a hybrid environment based on proximity to office locations.

Nice to have

  • 1 year of experience in Lean/Six Sigma.
  • 1 year of experience in the Health Insurance or Healthcare industry.
  • Master's degree in Business Administration or Information Systems.
  • PMP certification.

Culture & Benefits

  • Commitment to ethical standards and data security compliance.
  • Opportunities for professional growth and mentoring.
  • Supportive environment for cross-functional collaboration.
  • Focus on data-driven decision making and process improvement.

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