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12 часов назад

Senior Business Data Analyst (AI)

130 000 - 160 000$
Формат работы
remote (только USA)
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

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TL;DR
Senior Business Data Analyst (AI): Leading client engagements that translate ambiguous business questions into data models, dashboards, KPI frameworks, and decision-support tools with an accent on SQL, data modeling, and stakeholder alignment. Focus on building production-quality analytics in modern cloud warehouses, proactively surfacing business insights, and applying AI tooling responsibly to accelerate delivery.

Location: Remote (United States)

Salary: $130,000–$160,000 yearly, plus performance bonuses.

Company

hirify.global is a data engineering and AI consultancy that builds production-grade data platforms, machine learning systems, and analytics solutions for Fortune 500 enterprises and high-growth companies.

What you will do

  • Lead client-facing discovery sessions with operators, analysts, and executives to define and prioritize business requirements.
  • Translate ambiguous business problems into data models, dashboards, KPI frameworks, and decision-support tools.
  • Write production-quality SQL and build trusted models using Snowflake, Databricks, BigQuery, Redshift, dbt, or equivalent tools.
  • Build and maintain reporting in Looker, Tableau, Power BI, Sigma, Mode, or the client’s preferred BI platform.
  • Surface trends, anomalies, and opportunities proactively, and lead status updates, demos, working sessions, and stakeholder reviews.
  • Apply LLM-based analysis, natural-language-to-SQL, agentic data exploration, and AI-assisted documentation; mentor junior analysts and improve internal analytics playbooks.

Requirements

  • 5+ years of experience as a business analyst, data analyst, BI analyst, or analytics consultant, including at least 2 years in a client-facing or embedded role.
  • Expert SQL skills, including window functions, CTEs, performance tuning, and data validation.
  • Strong data modeling fundamentals, including dimensional modeling, star and snowflake schemas, and dbt or equivalent transformation tooling.
  • Hands-on experience with at least one cloud data warehouse and one modern BI tool.
  • Ability to lead requirements workshops, manage stakeholder alignment, challenge unclear requirements, and communicate effectively with different audiences.
  • Working fluency with AI tools for analytical work and sound judgment about their benefits and risks.

Nice to have

  • Experience in commercial real estate, financial services, healthcare technology, or insurance.
  • Python for analytical workflows, including pandas, notebooks, or API scripting.
  • Experience scoping and pricing analytics work or contributing to statements of work.
  • Familiarity with data quality, observability, governance, or AI-native analytics tools.
  • Prior consulting or agency experience with utilization, billing, and multi-client work.

Culture & Benefits

  • Full-time employment with comprehensive health, dental, and vision benefits.
  • 401(k) with company match.
  • Flexible remote work environment with a collaborative, high-talent team.
  • Performance bonuses, professional development budget, and certification support.
  • Work on diverse, high-impact client engagements with modern Snowflake, Databricks, AWS, GCP, and Azure stacks.
  • Builder culture focused on leading engagements and shipping useful work rather than slide decks.

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