Analyst Data MidLevel

Indotronix International Corporation • Pasadena, TX

3d • Remote

About The Position

Join a dynamic, enterprise-level team as a MidLevel Data Analyst in a contract role. The position focuses on complex data quality and reconciliation projects across large, multifaceted datasets. The work supports data-driven business decisions, improves data clarity, and helps ensure reliable findings from imperfect data sources. The role offers hands-on work with Databricks and SQL and exposure to varied business domains. The position is based in Pasadena, California, with remote flexibility available.

Requirements

• 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 and 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 communication with technical and non-technical audiences.
• Must be authorized to work in the United States without sponsorship.

Nice To Haves

• Experience in enterprise data domains such as ERP, HR, CRM, or 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.

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 actionable recommendations and validation findings for technical and business stakeholders.
• Collaborate with domain experts to validate business logic and clarify data assumptions.
• Maintain structured documentation of analysis, business rules, exceptions, and decision frameworks.

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.

What This Job Offers

• Career Level: Mid Level
• Education Level: No Education Listed