THE Logical Answer
Data Analyst
McLean, Virginia, United States
Sponsorship not specifiedDetected 244 days ago
PythonSQLAWSCloud PlatformsPandasNumPyData AnalysisData VisualizationStatisticsA/B TestingExcelProcess ImprovementCommunicationCollaborationProblem SolvingCritical Thinking
About the role
- TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights.
- Data Cleaning & Preparation: Clean, filter, and transform raw data to remove inconsistencies and prepare it for analysis, ensuring high data quality.
- Statistical Analysis: Apply appropriate statistical methods and techniques to interpret data, analyze trends, and identify patterns and correlations that provide valuable business insights.
Responsibilities
- Data Collection & Management: Collect data from primary and secondary sources, and maintain databases and data systems to ensure accuracy and integrity.
- Reporting & Visualization: Develop and maintain reports, interactive dashboards, and Key Performance Indicators (KPIs) using data visualization tools to communicate findings in an understandable format for non-technical stakeholders.
- Problem Solving: Collaborate with cross-functional teams (e.g., Marketing, Finance, Operations) to understand business requirements, define analytical needs, and provide data-driven recommendations to solve complex problems and improve processes.
- Documentation: Create clear and concise documentation of data sources, analysis processes, and results to ensure reproducibility and transparency.
- Process Improvement: Identify and implement opportunities to automate and streamline data collection and reporting processes for improved efficiency.
- Collaborate with cross-functional teams (e.g., Marketing, Finance, Operations) to understand business requirements, define analytical needs, and provide data-driven recommendations to solve complex problems and improve processes.
- Identify and implement opportunities to automate and streamline data collection and reporting processes for improved efficiency.
Requirements
- Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation. ·
- The ability to logically approach complex problems, ask the right questions, and evaluate data objectively. ·
- Strong interpersonal skills and the ability to work effectively within a team environment and with various stakeholders.
- Required Skills and Experience: · Proficiency in SQL: Essential for querying and managing data in relational databases, including advanced functions like joins and aggregations. · Strong Excel
Nice to have
- While not required, the following certifications are a plus: ·
Skills
- Preferred Certifications and
- Hands-on experience with Business Intelligence (BI) and data visualization platforms ( Tableau or Microsoft Power BI preferred). ·
- Solid understanding of statistical concepts, including hypothesis testing, regression analysis, and A/B testing.
- Soft Skills ·
Benefits
- Experience and Education Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
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