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4 дня назад

Senior Data Analyst

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
Senior Data Analyst (SQL/Power BI/Python): Building and delivering scalable reporting, semantic models, dashboards, and automated analytics pipelines for Capital Markets with an accent on executive-ready insights, data quality, and stakeholder collaboration. Focus on designing Power BI solutions with SQL, Python, and Snowflake, resolving multi-source data gaps, mentoring analysts, and applying AI tools with independent validation.

Location: Atlanta, Georgia, United States. Hybrid workplace model with at least four full days each week working in an hirify.global office.

Company

hirify.global is a global investment management firm providing investment strategies and vehicles to clients worldwide.

What you will do

  • Lead end-to-end analytics projects, from requirements gathering and data sourcing through modeling, visualization, and stakeholder presentation.
  • Design, build, and maintain Power BI semantic models, dashboards, and automated reporting pipelines using SQL, Python, and Snowflake.
  • Translate complex Capital Markets data into actionable insights for senior leadership and cross-functional stakeholders.
  • Identify source-data gaps and develop scalable, automated solutions that improve data architecture and reporting quality.
  • Coordinate workstreams, maintain production reporting timelines, and ensure quality standards.
  • Mentor junior analysts through technical guidance, code reviews, and structured feedback.

Requirements

  • At least 5 years of experience in data analytics, business intelligence, or a related function; exceptional candidates with 3+ years may be considered.
  • Bachelor’s degree in Data Analytics, Computer Science, Finance, Economics, or a related quantitative field.
  • Advanced SQL skills, including stored procedures, CTEs, temporary tables, and query optimization across SQL Server and Snowflake.
  • Advanced Power BI expertise covering semantic modeling, DAX, Power Query, data pipeline design, and performance tuning.
  • Proficiency in Python or R, strong stakeholder communication, and experience working with large, multi-source datasets.
  • Experience with AI tools and agents, with the ability to validate, refine, and contextualize generated outputs.

Nice to have

  • Experience in financial services, investment management, or capital markets.
  • Advanced degree or certifications such as CFA or PMP.
  • Experience integrating enterprise data sources such as Bloomberg or Aladdin extracts.

Culture & Benefits

  • Hybrid workplace model with regular office collaboration.
  • Flexible paid time off and parental leave benefits.
  • Health and wellbeing benefits.
  • 401(k) matching of 100% on the first 6% with a discretionary supplemental contribution.
  • Employee stock purchase plan.

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