Senior Data Analyst in St. Louis, MO

Key Responsibilities

• Collect and consolidate data from various sources related to application performance, usage, and migration progress
• Ensure data quality, integrity, and consistency across all datasets
• Conduct in-depth analysis of application data to identify patterns, trends, and potential issues
• Perform statistical analysis to support decision-making in the migration process
• Create comprehensive reports on various aspects of the migration project
• Develop dashboards and visualizations to effectively communicate complex data insights
• Maintain and update regular reports on migration progress, performance metrics, and KPIs
• Create compelling visual representations of data findings using tools like Tableau, Power BI, or similar
• Present data-driven insights and recommendations to technical and non-technical stakeholders
• Develop and deliver presentations on migration analytics to various levels of the organization
• Conduct pre- and post-migration comparisons to evaluate the success of migration efforts
• Provide data-driven insights to support decision-making at all levels of the project
• Define and track key performance indicators (KPIs) for the migration project
• Develop metrics to measure the success and efficiency of the migration process
• Create and maintain scorecards to track progress against project goals
• Participate in Agile ceremonies (Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives)
• Collaborate with Product Owners to define and refine data-related user stories

Requirements

• Bachelors degree and minimum 5 years experience
• Secret Security Clearance required
• Demonstrated experience working with business stakeholders to understand business process, pain points, and insights that will deliver greatest value to the mission
• Building and maintaining visualizations and dashboards in enterprise Business Intelligence tools (such as Tableau, PowerBI, Qlik, Microstrategy) or custom coding (D3, React, CSS)
• Performing complex data pre-processing (joins, unions, aggregations) using tools and languages like SQL, R, or Python