Hands-On Power BI & Data Solutions Analyst

BVLGARI 

New York (NY)

On-site

USD 85,000 - 120,000

Full time

14 hours ago
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Job summary

Bulgari Americas is seeking a hands-on Data & Analytics professional to support BI and reporting across the Americas. The IT BI & Data Solutions Analyst will partner with business stakeholders to define requirements and deliver robust reporting and data solutions, with a strong focus on Power BI and SQL.

In a lean team, you will design, develop, test, deploy, and enable users, drive adoption of self-service analytics, and strive for data quality, automation, and AI-driven efficiency.

Qualifications

  • 2-5 years of experience in Data Analytics or BI.
  • Strong SQL and Power BI skills with DAX and semantic models.
  • Experience with data modeling, KPI logic, and stakeholder engagement.
  • Knowledge of ETL/ data pipelines (Azure Data Factory, Databricks).
  • Bachelor's degree or equivalent.

Responsibilities

  • Partner with stakeholders to translate business needs into analytics solutions.
  • Design, build, and maintain Power BI dashboards and SQL data solutions.
  • Own delivery across the analytics lifecycle from requirements to adoption.
  • Improve data quality and automate reporting where possible.
  • Drive self-service analytics adoption with training and documentation.
  • Collaborate with Global IT to align with enterprise standards.

Skills

Power BI
SQL
Data modeling
Stakeholder communication
End-to-end analytics

Education

Bachelor's degree or equivalent

Tools

Azure Data Factory
Databricks

Job description

Bulgari Americas is seeking a hands-on Data & Analytics professional to support BI and reporting across the Americas. The IT BI & Data Solutions Analyst will partner with business stakeholders to define requirements and deliver robust reporting and data solutions, with a strong focus on Power BI and SQL.

In a lean team, you will design, develop, test, deploy, and enable users, drive adoption of self-service analytics, and strive for data quality, automation, and AI-driven efficiency.

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