Senior Data Analyst

Kforce has a client in Miami, FL that is seeking a Senior Data Analyst. Key Responsibilities:

• Conduct more complex data analysis and develop insights that support business objectives
• Create and maintain more advanced reports and dashboards for various stakeholders
• Build and maintain dbt models (staging, intermediate, mart layers)
• Write and optimize SQL for data transformation and analysis
• Design and enforce data testing/validation (dbt tests, source freshness checks)
• Maintain documentation (dbt docs, data dictionaries, lineage)
• Partner with stakeholders to translate business questions into metrics/dashboards
• Manage version control workflows for dbt projects (Git-based)
• Monitor data quality and troubleshoot pipeline failures
• Identifies issues in data and processes, proposing effective solutions
• Builds strong working relationships across teams and functions
• Provide guidance and support to Data Analyst 1 in their daily tasks
• Upholds ethical standards and sets a positive example for junior team members
• Manages complex challenges with poise, maintaining focus under pressure
• Actively contributes to change initiatives and encourages innovation within the team
• Collaborates effectively with other departments to achieve shared goals
• Takes on leadership roles in projects, mentoring junior analysts and guiding team efforts
• Holds self and others accountable for meeting deadlines and achieving quality outcomes
• Bachelor's degree in a related field; Advanced coursework or certifications preferred
• Expert in resolving complex, high-stakes problems with innovative solutions
• Extensive experience with data pipeline orchestration tools (e.g., Apache Airflow, Luigi) and data integration platforms (e.g., Apache NiFi, Glue)
• Skilled at supporting and managing multiple projects and meeting deadlines
• Experience with statistical analysis and predictive modeling
• Identify trends, patterns, and anomalies in data sets and present findings to senior analysts
• Contribute to the development of best practices for data management and analysis
• Ability to work with large and complex data sets
• Experience with programming (e.g., Python, Shell Script, SQL), data modeling, and developing features within hyperscaler cloud environments
• Basic understanding of GitHub
• Proficient in advanced data cleaning techniques, such as normalization, handling categorical variables, and merging datasets
• Experience using tools like Python (pandas, NumPy) or R for complex data manipulation
• Ability to create interactive dashboards (Power BI), use calculated fields, and design complex visualizations that tell a compelling data story
• Knowledge of best practices in data visualization and experience with custom visualizations
• Understanding of how to create and maintain data models to support business reporting needs
• Exceptional ability to influence and engage senior leaders with data-driven insights
• Ability to articulate data-driven insights clearly to a diverse audience