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3 часа назад

Senior Data Analyst (Analytics Engineering)

78 100 - 128 500$
Формат работы
onsite
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
Senior Data Analyst (Analytics Engineering): Building scalable datasets, data pipelines, reporting frameworks, and analytics solutions for business teams with an accent on KPI definition, SQL and Python transformations, and enterprise data integration. Focus on modernizing analytics platforms, designing self-service dashboards, and maintaining data quality, governance, and reliable delivery of business-critical data.

Location: Denver, Colorado, United States

Salary: $78,100–$128,500 per year

Company

hirify.global provides tools that support life sciences research and clinical diagnostics to help treat and prevent disease.

What you will do

  • Partner with stakeholders across Marketing, Customer Service, Commercial, and Business teams to define KPIs, reporting requirements, and measurement frameworks.
  • Analyze customer, commercial, marketing, and operational data to identify trends, risks, opportunities, and actionable recommendations.
  • Design and maintain scalable datasets, data models, dashboards, scorecards, semantic models, and self-service reporting solutions.
  • Build and optimize SQL-based transformations, reporting layers, automated Python workflows, and analytics solutions.
  • Support analytics platform modernization, data migrations, system integrations, and cloud-based reporting initiatives.
  • Monitor and troubleshoot data pipelines while establishing data quality, governance, documentation, and validation frameworks.

Requirements

  • Strong analytical, problem-solving, communication, and stakeholder management skills.
  • Experience defining, measuring, and reporting KPIs for operational performance, customer experience, sales, or marketing.
  • Experience building dashboards, semantic models, self-service reporting, and executive performance reporting.
  • Strong SQL and Python skills, including scalable data transformations and automated workflows.
  • Experience with data modeling, ETL/ELT processes, data pipelines, system integrations, cloud analytics platforms, and enterprise reporting.
  • Must have United States work authorization that does not now or in the future require visa sponsorship.

Culture & Benefits

  • Medical, dental, vision, life, disability, pet, legal, and identity protection insurance benefits starting on day one.
  • 401(k), employee stock purchase plan, HSA, FSA, and dependent care FSA.
  • Mentorship, training and development, tuition reimbursement, and promotional opportunities.
  • Employee resource groups, paid volunteer time off, employee events, and charity drives.
  • Paid holidays, paid time off, and paid parental leave.
  • A culture focused on empowerment, innovation, belonging, and employee ideas.

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