What are the responsibilities and job description for the Senior Data Analyst position at Aneka Talent Solutions?
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VISA: /USC/-EAD
Senior Data Analyst
Interview: 2 video
Location: Dallas or Miami- hybrid
No Sponsorship
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.
- 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.
Salary : $55 - $60