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Data Analyst

2 months ago

Charlotte, North Carolina, United States Acruex Inc. Full time
About the Role

We are seeking a highly skilled Data Analyst to join our team at Acruex Inc. as a key member of our Business Intelligence team.

The ideal candidate will have a strong background in data analysis, business intelligence, and data visualization, with the ability to extract insights from complex data sets and communicate findings effectively to stakeholders.

Key Responsibilities
  • Data Analysis: Design and implement data analysis solutions using SQL, Python, R, and databases to extract insights from large data sets.
  • Business Intelligence: Develop and maintain business intelligence tools and reports using Power BI and Tableau to support business decision-making.
  • Machine Learning: Implement unsupervised and supervised machine learning algorithms to solve real-world problems and improve business outcomes.
  • Data Visualization: Create interactive and dynamic data visualizations to communicate complex data insights to stakeholders.
  • Collaboration: Work closely with cross-functional teams, including business stakeholders, to understand business needs and develop data-driven solutions.
Requirements
  • Technical Skills: Advanced knowledge of SQL, Python, R, and databases, with experience in data analysis, business intelligence, and data visualization.
  • Business Acumen: Strong understanding of business operations and the ability to communicate complex data insights to stakeholders.
  • Collaboration: Excellent collaboration and communication skills, with the ability to work effectively in a matrix environment.
  • Education: Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
Preferred Qualifications
  • Experience: 1-2 years of experience in data analysis, business intelligence, and data visualization.
  • Tools and Technologies: Experience with Power BI, Tableau, and other business intelligence tools.
  • Scripting/Query Languages: Advanced knowledge of Python, SQL, and SAS.
  • Data Platforms: Experience with Microsoft SQL Server, Snowflake, and Oracle.