Membership Data Entry Specialist

Classification: Limited Term or Temporary, Full time, Non-Exempt Reports to: Member Services Department Head Department: Membership Department This is a limited term position with benefits and will be re-evaluated after six months. Introduction: The California Lawyers Association (CLA) is the Bar association for all California attorneys. We are a member-driven, mission-focused organization dedicated to the professional advancement of attorneys practicing in the state of California. CLA houses the eighteen Sections including the New Lawyers Section (NLS) that share an area of interest in law and each offers top-tier programs, award winning conferences, events, and provides access to outstanding legal resources. We continuously seek new ways to expand our offerings. Through premier educational and networking opportunities, our members can maintain expertise in their fields, build contacts, and uphold the legal profession and system. CLA also has several initiatives that support its mission of promoting excellence, diversity and inclusion in the legal profession and fairness in the administration of justice and the rule of law. CLA is committed to promoting excellence, diversity, and inclusion in the legal profession and fairness in the administration of justice and the rule of law. We are dedicated to the professional advancement of attorneys from a variety of diverse backgrounds practicing in the state of California. All CLA employees must demonstrate cultural fluency by proactively managing bias and maintaining sensitivity to race, color, ethnicity, national origin, physical or mental disability, gender, gender identity, gender expression, sexual orientation, religion, and age of our members and the legal community. Job Summary: The Data Reconciliation Specialist is responsible for reviewing, comparing, and validating data between multiple systems to ensure accuracy and consistency. This role identifies discrepancies, researches variances, and updates records as needed to maintain data integrity across platforms. The ideal candidate is highly detail-oriented, organized, and able to work independently while managing multiple priorities. Responsibilities Review and compare data between two or more systems to verify accuracy and completeness. Identify discrepancies, missing information, and data inconsistencies. Research and resolve data variances by reviewing source documentation and communicating with appropriate departments. Update and correct records to ensure systems are synchronized and accurate. Perform routine audits to maintain data quality and integrity. Document reconciliation activities and maintain accurate records of corrections and updates. Generate reports on reconciliation status, discrepancies identified, and resolutions completed. Collaborate with internal departments to obtain information needed to resolve data issues. Follow established procedures, policies, and data governance standards. Recommend process improvements to enhance data accuracy and efficiency. Skills and Requirements: Exceptional attention to detail with a high degree of accuracy. Ability to analyze data and identify inconsistencies. Strong problem-solving and critical-thinking skills. Ability to prioritize work and meet deadlines. Ability to work independently with minimal supervision. Effective collaboration and communication across departments. Comfortable working with large volumes of data. Qualifications: High school diploma or equivalent required; associate degree preferred. Minimum 1–3 years of data entry, data management, accounting support, or administrative experience. Strong attention to detail and accuracy. Excellent organizational and time management skills. Ability to identify and resolve discrepancies efficiently. Proficiency in Microsoft Excel and other data management tools. Strong written and verbal communication skills. Ability to handle confidential information with discretion. Success Measures: Data discrepancies identified and resolved accurately and timely. Maintenance of high data accuracy rates across systems. Completion of reconciliations within established deadlines. Effective collaboration with internal stakeholders to resolve data issues.