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# Senior Data Operations Analyst

- **Company:** Kforce Inc.
- **Location:** West Hollywood, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Big Data, Information Systems, Data Validation, Data Governance, Document-Oriented Databases, Operational Data Store, Pivot Tables, Power BI, DataOps, SQL Databases, Systems Integration, Tableau (Software), Data Analytics, Tools for Reporting
- **Published:** September 22, 2026
- **Apply:** https://www.kforce.com/find-work/search-jobs/#/detail/MTY5Nn5PTlN-MjE4ODk0MFQxfjk5/

## About the Role

* Bachelor's degree in Data Analytics, Business, Finance, Information Systems, or a related field
 * 5+ years of experience in data analysis, operations analysis, reporting, or a related role
 * Advanced Microsoft Excel skills, including Pivot Tables, lookups, formulas, and large dataset analysis
 * Experience with reporting, dashboards, data validation, and reconciliations
 * Strong analytical, organizational, and problem-solving skills
 * Excellent written and verbal communication skills
 * Ability to independently manage multiple priorities and deadlines

Preferred Qualifications:

 * Experience with SQL, Power BI, Tableau, or similar analytics tools
 * Experience with ERP, CRM, or enterprise data systems
 * Knowledge of data governance, system integrations, and process automation
 * Experience supporting system implementations or transformation initiatives

Key Competencies:

 * Data Analysis
 * Data Operations
 * Reporting and Dashboards
 * Data Quality and Reconciliation
 * Process Improvement
 * Operational Metrics
 * Systems Support
 * Advanced Excel
 * Problem Solving
 * Stakeholder Collaboration

## Description

Kforce has a client in West Hollywood, CA that is seeking a Senior Data Operations Analyst to manage, analyze, and improve operational data and reporting processes. This role partners with business and technical teams to ensure data accuracy, develop actionable insights, support system initiatives, and improve operational efficiency. Key Responsibilities:

 * Analyze large datasets to identify trends, discrepancies, risks, and improvement opportunities
 * Develop and maintain reports, dashboards, metrics, and operational tracking tools
 * Validate, reconcile, and monitor data across multiple systems
 * Investigate data-quality issues and coordinate timely resolution
 * Translate business requirements into reporting, data, and process solutions
 * Support system implementations, integrations, testing, and data-conversion activities
 * Document data processes, business rules, procedures, and reporting requirements
 * Partner with Operations, Finance, Technology, and other teams on business initiatives
 * Monitor operational KPIs and communicate findings to stakeholders
 * Automate recurring reports and improve data-management workflows
 * Provide analytical support for special projects and business decisions
 * Mentor team members and promote data-quality best practices


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