Data Analyst

2 weeks ago


Riverside, Missouri, United States Premium Waters Inc Full time
Premium Waters Inc is seeking a skilled Data Analyst

We are looking for a detail-oriented and motivated Data Analyst to join our dynamic team at Premium Waters Inc. As a Data Analyst, you will play a crucial role in leveraging your expertise in data analysis and visualization to drive business growth and decision-making.

Key Responsibilities:
  • Data Visualization: Design, develop, and maintain interactive dashboards and reports using AWS QuickSight to provide insights and support data-driven decision-making across the organization.
  • Data Analysis: Perform in-depth analysis of business data using AWS QuickSight and other relevant tools to identify trends, patterns, and correlations.
  • Data Modeling: Collaborate with data engineers to define and build data models that meet business requirements and enhance reporting capabilities.
  • Data Integration: Work with various data sources (e.g., JD Edwards, MS SQL DB's, Redshift, RDS, S3) to integrate and transform data for analysis and visualization.
  • Requirements Gathering: Partner with stakeholders to understand business needs and translate them into technical requirements for data analysis and reporting.
  • Quality Assurance: Ensure the accuracy, reliability, and performance of dashboards and reports through rigorous testing and validation processes.
  • Training & Support: Provide training and support to end-users on AWS QuickSight dashboards and reports, enabling them to make effective use of the tools.
  • Continuous Improvement: Stay current with AWS QuickSight updates and industry best practices, recommending improvements to existing processes and solutions.
Qualifications:
  • Experience: 2 years of hands-on experience working with AWS QuickSight, including dashboard creation, data visualization, and reporting.
  • Technical Skills: Proficiency in SQL and excel for data querying and manipulation.
  • Experience with AWS data services: Experience with Redshift, S3, and RDS.
  • Strong understanding of data modeling concepts: Strong understanding of data modeling concepts and best practices.
  • Familiarity with ETL processes: Familiarity with ETL processes and tools.
  • Analytical Skills: Ability to analyze complex data sets, draw meaningful insights, and present them clearly to non-technical stakeholders.
  • Communication: Excellent verbal and written communication skills, with the ability to articulate technical concepts to a non-technical audience.
  • Problem-Solving: Strong problem-solving skills, with a proactive and detail-oriented approach to identifying and addressing issues.
  • Education: Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field is preferred.
Preferred Qualifications:
  • AWS Certified Data Analytics - Specialty: AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect certifications.
  • Experience with other data visualization tools: Experience with other data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Familiarity with programming languages: Familiarity with programming languages such as Python or R for data analysis.

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