Job Summary
Analyst Data MidLevel (Contract)
Location: Pasadena, CA, 91101 (Remote flexibility available)
Type: Contract
About the Role
Join a dynamic, enterprise-level team as a MidLevel Data Analyst. In this contract role, you’ll tackle complex data quality and reconciliation projects across vast, multifaceted datasets. Your work will play a crucial role in shaping data-driven business decisions, improving data clarity, and ensuring reliable facts are derived from imperfect data sources. This is an exciting opportunity to deepen your expertise in analytics, work hands-on with Databricks and SQL, and gain exposure to varied business domains.
Responsibilities
- Evaluate and assess data quality, coverage, and consistency across multiple enterprise data sources.
- Identify, investigate, and document gaps, mismatches, and inconsistencies in source data.
- Analyze and reconcile ambiguous or conflicting records to help determine operational fitness.
- Translate business rules into actionable logic for extracting reliable information from noisy or incomplete data.
- Conduct exploratory analysis using Databricks and support ETL-oriented data investigations.
- Compare new and existing datasets to identify strengths, weaknesses, and tradeoffs.
- Produce clear, actionable recommendations and validation findings for both technical and business stakeholders.
- Collaborate proactively with domain experts to validate business logic and clarify data assumptions.
- Maintain structured documentation of analysis, business rules, exceptions, and decision frameworks.
Required Skills and Experience
- Proficiency in SQL and analysis of large, messy enterprise datasets.
- Hands-on experience with data quality assessment, profiling, and reconciliation.
- Working knowledge of Databricks.
- Familiarity with basic ETL concepts and data flow validation.
- Analytical mindset with strong attention to detail.
- Ability to work with ambiguous data and infer reliable patterns using business logic.
- Comfort investigating edge cases and documenting findings.
- Eagerness to learn new business domains and engage with subject matter experts.
- Clear communicator with both technical and non-technical audiences.
Preferred Skills
- Experience in enterprise data domains (ERP, HR, CRM, Billing).
- Proficiency with Python, notebooks, or BI tools for exploratory analysis and reporting.
- Experience documenting business rules and system behavior in a structured format.
- Exposure to enterprise platform data.
Benefits
- Work with cutting-edge enterprise data tools and technologies.
- Exposure to complex, high-impact data projects spanning multiple business domains.
- Opportunity to expand skills in data quality, reconciliation, and cross-functional collaboration.
- Supportive environment that encourages curiosity, learning, and direct engagement with business experts.
How to Apply
Ready to help shape the future of enterprise data? Apply now with your resume and a brief summary of your experience with SQL and enterprise datasets.
Candidates must be authorized to work in the US without sponsorship.