BI Developer

Intelliswift SoftwareSanta Clara, CA
80d$43

About The Position

The BI Developer will partner with Product Managers and cross-functional stakeholders within the cohort to identify key business challenges and opportunities for optimization. The role involves using data-driven methodologies to develop impactful solutions, support strategic initiatives, and guide decision-making. The BI Developer will design and build dynamic, user-friendly data visualizations that effectively communicate insights to both technical and non-technical audiences. Additionally, the position requires conducting deep-dive analyses to uncover trends, patterns, and actionable insights that drive business growth, while maintaining high standards of data quality and integrity through robust validation and cleansing processes.

Requirements

  • Proficiency in SQL and Azure KQL.
  • Hands-on experience using data visualization tools such as Power BI.
  • Familiarity with web analytics platforms like Adobe Analytics and Customer Journey Analytics.
  • Strong analytical and problem-solving skills with attention to detail.
  • Proven experience in data modeling, ETL development, and data warehousing concepts.
  • Excellent communication skills to translate complex data into actionable recommendations.
  • Comfortable working in Agile environments and collaborating across cross-functional teams.
  • Strong organizational skills to manage multiple priorities in a fast-paced setting.
  • Understanding of data governance, privacy regulations, and industry best practices.

Nice To Haves

  • Master's degree in a related field.
  • Relevant certifications such as Microsoft Certified: Data Analyst Associate or Azure Data Engineer.

Responsibilities

  • Partner with Product Managers and cross-functional stakeholders to identify key business challenges and opportunities for optimization.
  • Use data-driven methodologies to develop impactful solutions and support strategic initiatives.
  • Design and build dynamic, user-friendly data visualizations to communicate insights.
  • Conduct deep-dive analyses to uncover trends, patterns, and actionable insights.
  • Maintain high standards of data quality and integrity through validation and cleansing processes.
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