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KPMG US

Engineer, Data Visualization and Business Intelligence

  • +3
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  • US
    United States
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À propos

Engineer, Data Visualization and Business Intelligence Join to apply for the role at
KPMG US . KPMG provides audit, tax, and advisory services for organizations across various industries. Our culture encourages individual development, inclusivity, innovation, and community support. Recognized among the best companies to work for, we invite passionate individuals to join our team. Position:
Engineer, Data Visualization and Business Intelligence Location:
Hybrid work opportunity in the US. Responsibilities:
Design and deliver interactive Power BI dashboards to communicate insights effectively. Contribute to the firm's business intelligence vision and standards. Support the BI community through governance, training, and collaboration. Design innovative BI solutions addressing complex challenges. Build and optimize data models for analytics accuracy and efficiency. Stay updated on emerging technologies like Generative AI to enhance analytics and automation. Develop scalable data pipelines using Azure Data Factory and Databricks. Qualifications:
At least one year of recent experience in analytics or related fields. Bachelor's degree in relevant fields preferred. Experience with Microsoft Office Suite and supporting IT projects is a plus. Strong communication, problem-solving, and organizational skills. Ability to build relationships and maintain confidentiality. Must be located within the US for remote work; travel may be required. Authorized to work in the US without sponsorship. KPMG offers a competitive benefits package, including health coverage, 401(k), and wellness benefits. Salary ranges are location-dependent and based on various factors. We are an equal opportunity employer and comply with all applicable laws. No sponsorship available for this role. #J-18808-Ljbffr

Compétences idéales

  • Azure Data Factory
  • Business Intelligence
  • Data Modeling
  • Power BI
  • United States

Expérience professionnelle

  • Data Engineer
  • Data Analyst
  • Business Intelligence

Compétences linguistiques

  • English
Avis pour les utilisateurs

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