Blu Omega
Posted 44 days agoVerified live 1d ago
Data Analyst
Brief overview
Remote
UndergradOr in progress
$65k–$85k/yrStated range
4+ yrsMinimum
PythonSQLRSASPower BITableauStatistical AnalysisData VisualizationDashboard DevelopmentData MiningETLPublic Trust ClearanceStakeholder Engagement
About the company
Blu Omegabluomega.com
Blu Omega offers IT services and Clinical Research management consulting, focusing on technology solutions for federal sectors.
Job description
Summary
Blu Omega is seeking a Data Analyst to support a federal program focused on analytics and data-driven decision-making. The role analyzes, visualizes, and interprets complex datasets, develops dashboards and reports, establishes metrics and KPIs, and communicates data-driven insights to stakeholders.
Responsibilities
- Analyze, clean, transform, and interpret structured and unstructured datasets to identify trends and actionable insights
- Develop data analytics solutions using statistical analysis techniques
- Design and maintain dashboards, reports, charts, and visualizations to communicate data findings
- Use Power BI and Tableau to create interactive dashboards and data-driven reports
- Partner with stakeholders to clarify business needs and define analytical objectives
- Establish and monitor metrics and KPIs to support decision-making
- Extract, manipulate, analyze, and visualize data using Python, SQL, R, SAS, or similar technologies
- Identify opportunities to automate and streamline data analysis and reporting processes
- Prepare reports, briefings, and presentations to communicate findings and recommendations
- Present data-driven insights to clients, program leadership, and stakeholders
- Ensure high accuracy, data quality, and attention to detail when working with large datasets
Skills
- 4+ years of experience in data exploration, analysis, visualization, or data mining
- 4+ years of experience with statistical or analytical software
- Hands-on experience with Python, SQL, R, or SAS for data extraction and analysis
- Proficiency with Power BI, Tableau, or similar visualization tools
- Experience developing dashboards, reports, metrics, and KPIs supporting decision-making
- Ability to communicate analytical insights clearly to technical and non-technical audiences
- Experience with automation and process improvement techniques for data workflows
- Strong attention to detail and ability to work with large, complex datasets
- Excellent problem-solving, communication, and stakeholder engagement skills
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination
- Bachelor's degree in data science, analytics, statistics, mathematics, IT, or related field
- Experience integrating big data platforms and enterprise data sources
- Knowledge of Power Apps or other Microsoft Power Platform tools
- Familiarity with ETL, performance optimization, or data movement technologies such as StreamSets, Databricks, or Jupyter Notebooks
- Experience working in Agile environments (Kanban, Scrum, DevOps)
- Knowledge of machine learning techniques and tools
- Experience supporting federal public health, healthcare, or mission-driven organizations
- Strong presentation skills for diverse audiences
Qualifications
Must Haves
- 4+ years of experience in data exploration, analysis, visualization, or data mining
- 4+ years of experience with statistical or analytical software
- Hands-on experience with Python, SQL, R, or SAS for data extraction and analysis
- Proficiency with Power BI, Tableau, or similar visualization tools
- Experience developing dashboards, reports, metrics, and KPIs supporting decision-making
- Ability to communicate analytical insights clearly to technical and non-technical audiences
- Experience with automation and process improvement techniques for data workflows
- Strong attention to detail and ability to work with large, complex datasets
- Excellent problem-solving, communication, and stakeholder engagement skills
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination
- Bachelor's degree in data science, analytics, statistics, mathematics, IT, or related field
Nice to Haves
- Experience integrating big data platforms and enterprise data sources
- Knowledge of Power Apps or other Microsoft Power Platform tools
- Familiarity with ETL, performance optimization, or data movement technologies such as StreamSets, Databricks, or Jupyter Notebooks
- Experience working in Agile environments (Kanban, Scrum, DevOps)
- Knowledge of machine learning techniques and tools
- Experience supporting federal public health, healthcare, or mission-driven organizations
- Strong presentation skills for diverse audiences
Benefits
- Remote work