> Markdown version of [/jobs/ext/3587113-analyst-data-midlevel](https://www.wearedevelopers.com/jobs/ext/3587113-analyst-data-midlevel). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Analyst Data MidLevel

- **Company:** Indotronix Avani Group
- **Location:** Pasadena, CA, United States
- **Contract:** Permanent contract
- **Skills:** Business Logic, Extract Transform Load (ETL), SQL Databases, Data Streaming, Enterprise Data Management
- **Published:** October 5, 2026
- **Apply:** https://candidateportal.ceipal.com/job-details/TCR3iZ56eDlFRC5uH3RRFyy_WnuMPhqtdL44u5E6Fso

## About the Role

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., 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.

## Description

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., 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., 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.