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10 дней назад

Senior Data Analyst (SQL, Databricks & Power BI)

145 600 - 187 200$
Формат работы
onsite
Тип работы
project
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 (SQL, Databricks & Power BI) (Data Engineering/Business Intelligence): Building scalable Databricks data pipelines, curated analytical datasets, and executive-ready Power BI dashboards with an accent on complex SQL optimization, semantic modeling, and data reconciliation. Focus on profiling and validating multi-source data, translating finance and operations requirements into scalable models, and coaching internal teams on analytics best practices.

Location: Chicago, 60604, United States

Salary: $145,600–$187,200 per year

Company

hirify.global provides staffing and contract workforce solutions, including temporary professional assignments.

What you will do

  • Build, manage, and optimize Databricks notebooks, Delta tables, and scalable data pipelines.
  • Design and maintain complex SQL queries, views, and stored procedures for analytics, reporting, and data quality controls.
  • Develop and maintain Power BI dashboards, interactive reports, and enterprise semantic models.
  • Perform data profiling, validation, and multi-source reconciliation to ensure data accuracy and governance compliance.
  • Partner with finance and operations subject matter experts to define data models, KPIs, and documentation.
  • Provide code reviews, technical guidance, and mentoring in SQL, Databricks, and Power BI.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Information Systems, or a related quantitative field.
  • At least 5 years of professional experience in data analysis, business intelligence engineering, or data warehousing.
  • Expert-level SQL skills, including complex query writing, tuning, views, and stored procedures.
  • Production experience with Databricks, notebooks, Delta Lake, and data pipeline development.
  • Advanced Power BI expertise, including data modeling, DAX, semantic models, and executive dashboard design.
  • Strong stakeholder management, communication, business acumen, and ability to deliver independently under tight timelines.

Nice to have

  • Experience embedding analytics in corporate finance or operations environments.
  • Experience establishing enterprise self-service reporting frameworks and data quality monitoring controls.

Culture & Benefits

  • Strategic contract engagement lasting 3–6 months.
  • High-impact, hands-on technical work with finance and operations stakeholders.
  • For temporary assignments lasting 13 weeks or longer: medical, dental, vision, 401(k), and statutory sick pay where required.
  • Reasonable accommodations are available during the employment process.

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