Senior Data Analyst - W2 (No C2C or 1099) - Hybrid in Dallas or Miami, FL (Posted by SAM)

Required Skills

• In this Sr Data Analyst role, You will work closely with analysis od data in our Data Lake and provide meaningful insights for Business Users Using dbt model, Power BI Dashboards and Datasets in Snowflake.

• 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.
• 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.
• AWS, Snowflake, Azure
• AWS Glue, AWS Appflow, Lambda, S3, Funnel, Athena
• Support CI/CD workflows for dbt deployments
• Exceptional ability to influence and engage senior leaders with data-driven insights.
• 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.