Trainee Exploratory Data Analysis Jobs in California

POC: Sam Chavez
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Job Title: Senior Technology Architect | Data Management - Data Integration | Informatica -- Data Analyst
Work Location & Reporting Address: San Diego, CA 92121 (Onsite-Hybrid. Will consider candidates willing to relocate to client's location)
Contract duration: 6
MAX VENDOR RATE: XXX per hour max
Target Start Date: 01 Jun 2026
Does this position require Visa independent candidates only? Yes
Must Have Skills:
• Bachelor's degree in Data Analytics, Computer Science, Business, or a related field.
• 5+ years of experience in data analysis or BI roles.
• Strong hands-on experience with:
• Databricks (SQL, notebooks, Delta Lake)
• SQL (advanced querying and data manipulation)
• Experience with data visualization tools (Power BI, Tableau, or similar).
• Solid understanding of data modeling concepts and metric development.
• Proven ability to understand business processes and map them to data structures.
• Strong skills in data validation, quality checks, and reconciliation.
• Experience in exploratory data analysis and storytelling with data.
• Excellent communication skills for presenting insights to non-technical stakeholders.
Nice to Have Skills:
• Familiarity with AI-driven BI tools and conversational analytics platforms.
• Basic knowledge of Python or PySpark for data exploration (not heavy ML focus).
• Exposure to modern data architectures (lakehouse concepts).
• Experience working with cloud platforms such as AWS or Azure.
• Understanding of data governance and cataloging tools.
• Experience enabling or working with self-service analytics environments.
Detailed Job Description:
Role Overview: We are looking for a Data Analyst with strong experience in Databricks and modern data tools, who excels at translating data into meaningful business insights. This role is focused on insight generation, data understanding, and BI/AI-oriented analytics, rather than heavy statistical modeling or advanced machine learning.
The ideal candidate will have a strong grasp of business processes, data dependencies, and data lifecycle, and be capable of developing accurate, reliable metrics and intuitive visualizations, along with supporting conversational and self-service analytics experiences.
Key Responsibilities
• Analyze data to derive actionable business insights and support decision-making.
• Work with Databricks (SQL, Notebooks, Delta Tables) to explore, transform, and validate data.
• Develop and maintain business metrics, KPIs, and features, ensuring accuracy and consistency.
• Design and build interactive dashboards and visualizations using BI tools (e.g., Power BI, Tableau).
• Understand end-to-end data flows and upstream systems to ensure data quality and integrity.
• Collaborate with business stakeholders to translate requirements into analytical solutions.
• Perform data profiling, validation, and reconciliation to ensure trustworthy outputs.
• Interpret and present data insights in a clear, narrative-driven manner, including conversational insights.
• Support AI/BI initiatives by preparing curated datasets and enabling insight generation layers.
• Document data definitions, transformations, and lineage for transparency and governance.
• Identify trends, anomalies, and patterns in data to proactively inform stakeholders.
Required Qualifications
• Bachelor's degree in Data Analytics, Computer Science, Business, or a related field.
• 5+ years of experience in data analysis or BI roles.
• Strong hands-on experience with:
• Databricks (SQL, notebooks, Delta Lake)
• SQL (advanced querying and data manipulation)
• Experience with data visualization tools (Power BI, Tableau, or similar).
• Solid understanding of data modeling concepts and metric development.
• Proven ability to understand business processes and map them to data structures.
• Strong skills in data validation, quality checks, and reconciliation.
• Experience in exploratory data analysis and storytelling with data.
• Excellent communication skills for presenting insights to non-technical stakeholders.
Preferred Qualifications
• Familiarity with AI-driven BI tools and conversational analytics platforms.
• Basic knowledge of Python or PySpark for data exploration (not heavy ML focus).
• Exposure to modern data architectures (lakehouse concepts).
• Experience working with cloud platforms such as AWS or Azure.
• Understanding of data governance and cataloging tools.
• Experience enabling or working with self-service analytics environments.
Key Skills
• Data Analysis & Insight Generation
• Databricks & SQL
• BI Tools & Data Visualization
• Business Process Understanding
• Data Quality & Metric Validation
• Data Storytelling & Communication
• Conversational Analytics
• Data Modeling Fundamentals
Minimum Years of Experience:
• 5+ years
Certifications Needed:
• None
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Interview Process (Is face to face required?)
• Virtual
Any additional information you would like to share about the project specs/nature of work: