• Pasadena, CA
    2 days ago

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    Analyst Data MidLevel

    • Location: Pasadena, California 91101
    • Work model: On-site
    • Posted 3 weeks ago
    • Job ID: JPC - 210410

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    Job Description

    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.

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    Job details

    Job ID JPC - 210410

    Location Pasadena, California, United States

    Work Model On-site

    Job Type Contract

    Posted September 25, 2026

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    Numbers & Facts

    LocationPasadena, CA

    Skills

    • Analysis Skillsunmatched
    • Billingunmatched
    • Business Intelligence Softwareunmatched
    • Communication Skillsunmatched
    • Contract Analysisunmatched
    • Cross-Functionalunmatched
    • Customer Relationship Management (CRM)unmatched
    • Data Analysisunmatched
    • Data Qualityunmatched
    • Data Setsunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Detail Orientedunmatched
    • Documentationunmatched
    • ERP (Enterprise Resource Planning)unmatched
    • Fitnessunmatched
    • Process Improvementunmatched
    • Python Programming/Scripting Languageunmatched
    • Reconciliationunmatched
    • SQL (Structured Query Language)unmatched

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