Contract Data Quality Analyst: SQL-Driven Data Integrity

Saicon; Pasadena (CA); On-site; USD 55,000 - 96,000; Full time

Job summary

Saicon seeks a contract data analyst to support data quality, coverage, and cross-source comparison across enterprise datasets. The role focuses on evaluating data consistency, identifying gaps, and translating business rules into reliable facts from imperfect source data.

The ideal candidate will be strong in SQL and Databricks, comfortable with ambiguity, and proactive in engaging domain experts to validate assumptions and findings.

Qualifications

• Strong SQL skills and experience analyzing large, messy enterprise datasets.
• Experience with data quality assessment, data profiling, and reconciliation across multiple systems.
• Hands-on experience with Databricks.
• Working knowledge of basic ETL concepts and data flow validation.
• Ability to work with ambiguous source data and infer reliable patterns using business logic.

Responsibilities

• Perform data quality, coverage, and comparison analysis across multiple internal data sources.
• Assess consistency, completeness, and reliability of identifiers and cross-system relationships.
• Analyze ambiguous or conflicting source records and help determine fit for business use cases.
• Apply and refine business rules to derive usable facts from noisy, incomplete, or inconsistent data.
• Compare new datasets against existing sources to identify strengths, weaknesses, and coverage tradeoffs.
• Support exploratory analysis in Databricks and contribute to basic ETL-oriented data investigation workflows.
• Produce clear analysis, recommendations, and validation findings for business and technical stakeholders.
• Partner with domain experts and reach out when needed to validate uncertain outputs or business interpretations.
• Document assumptions, logic, data issues, and decision frameworks in a structured way.

Skills

SQL

Databricks

Data quality

Data profiling

ETL concepts

Tools

BI tools

Python

Job description

Saicon seeks a contract data analyst to support data quality, coverage, and cross-source comparison across enterprise datasets. The role focuses on evaluating data consistency, identifying gaps, and translating business rules into reliable facts from imperfect source data.

The ideal candidate will be strong in SQL and Databricks, comfortable with ambiguity, and proactive in engaging domain experts to validate assumptions and findings.