Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Artificial Intelligence
Cloud Computing
Data Analysis
Data Modeling
Microsoft Azure
Natural Language Processing
SQL
Scripting
Tableau
Data Visualization
Microsoft Power BI
Job Details
Role: Data Analyst
Location: Palo Alto, CA
Our client is seeking for a proactive and skilled Data Analyst to join our team. You'll play a key role in transforming raw data into actionable insights and streamlining our data workflows through the intelligent application of cutting-edge AI tools and automation.
Responsibilities:
- Clean, process, and analyze large datasets to uncover trends, patterns, and insights.
- Develop and maintain interactive dashboards and reports using tools like Tableau and Power BI.
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Design and implement AI-driven automation for data pipelines and reporting processes to increase efficiency and accuracy.
- Present findings and recommendations to stakeholders in a clear and compelling manner.
- Stay up-to-date with emerging data analysis techniques and AI tools to enhance our analytical capabilities.
Qualifications:
- Proven experience in a data analysis role with a strong understanding of statistical analysis and data modeling.
- Proficiency in data visualization tools, specifically Tableau and Power BI.
- Experience with SQL for querying and manipulating databases.
- Familiarity with modern AI tools and platforms used for data analysis (e.g., natural language processing, predictive analytics).
- Excellent problem-solving skills and the ability to think critically about data.
- Strong communication and presentation skills.
Nice to Have:
- Experience in AI-driven automation for tasks like data ingestion, anomaly detection, or report generation.
- Proficiency in scripting languages such as Python or R to streamline data workflows.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
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