Datafied

Datafied

Junior Data Analyst

Texas, United States · Junior

Sponsorship not specifiedDetected 295 days ago
PythonSQLData AnalysisData VisualizationExcelProcess ImprovementCommunicationCollaborationProblem SolvingMicrosoft OfficeSharePoint

About the role

  • Ensure timely and accurate completion of assigned tasks with a commitment to quality.

Responsibilities

  • Analyze data using statistical techniques and deliver clear, actionable reports.
  • Design, develop, and maintain databases and data collection systems to optimize data quality and efficiency.
  • Identify trends, patterns, and correlations in complex datasets to support business initiatives.
  • Maintain and enhance existing reporting tools and dashboards to ensure continuous data flow and usability.
  • Collaborate with cross-functional teams to prioritize information needs and support business objectives.
  • Document and update standard operating procedures for data-related tasks and reporting processes.

Requirements

  • Proficiency in Microsoft Excel (including pivot tables, formulas, and macros).
  • Experience working with large datasets and multiple data sources.
  • Ability to communicate findings clearly to both technical and non-technical stakeholders.

Nice to have

  • Experience with data visualization tools (e.g., Power BI, Tableau).
  • Familiarity with SQL or other query languages.
  • Exposure to Python, R, or other data analysis tools.
  • Experience working in a fast-paced or cross-functional environment.
  • Experience working with Microsoft SharePoint and the broader Microsoft Office Suite (e.g., Outlook, Teams, Word, PowerPoint) Key Competencies Strong attention to detail and accuracy.
  • Effective communication and collaboration skills.
  • Analytical mindset with a proactive approach to problem-solving.
  • The ideal candidate will have a strong foundation in data analysis, reporting, and process improvement, with a high level of proficiency in Microsoft Excel.

This listing is sourced directly from Datafied's careers page and normalized into a canonical job model.