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Data Entry - Data Analyst

Legal Intake Pros LLC

Data Entry - Data Analyst

Remote,
Full Time
Paid
  • Responsibilities

    Legal Intake Pros seeks a dedicated Data Entry / Data Analyst to join our team. This dual-role position updates our CRM (Lead Docket) and CSM (Filevine) systems to cleanse historical data for data integrity and input data accurately. The role requires data entry and analyst skills until the department scales to build the Data Team. The Data Entry / Data Analyst will also help optimize data retrieval and reporting processes. Legal Intake Pros specializes in Intake Optimization and offers comprehensive intake trial audits for personal injury law firms. Our services include technical systems setup, unlimited support, and in-depth audit reports to ensure long-term optimization and high conversion rates to help clients maximize their client acquisition operations. Responsibilities: Data Entry Specialist Responsibilities: • Accurately input, update, and maintain data in CRM and CSM systems. • Verify data accuracy and completeness to ensure high-quality standards. • Assist in resolving discrepancies or errors in data entries. • Collaborate with team members to ensure timely completion of tasks. • Adhere to company policies and procedures regarding data confidentiality and security. Data Analyst Responsibilities: • Analyze large datasets to identify trends, patterns, and potential areas of improvement. • Develop reports and dashboards to track performance and highlight insights. • Utilize advanced Excel skills to visualize data and create forecasting models. • Develop and execute data-driven strategies to improve operational and financial performance. • Use programming languages such as SQL, Python, and R to extract, analyze, and manipulate data. • Collaborate with cross-functional teams to identify opportunities to use data to inform decision-making. • Develop data governance and quality control processes to ensure data accuracy and integrity. • Monitor industry trends and best practices in data analytics. • Present findings to stakeholders clearly and concisely. Qualifications: • Proven experience in data entry and data analysis. • Proficiency with CRM and CSM systems (e.g., Lead Docket, Filevine) is a plus. • Strong knowledge of SQL and advanced Excel formulas. • Experience with programming languages such as Python and R is a plus. • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant information. • Ability to develop reports and dashboards for performance tracking. • Excellent attention to detail and accuracy. • Strong organizational and time management skills. • Ability to work independently and as part of a team. • Strong communication skills to present findings to stakeholders clearly and concisely. • Familiarity with data governance and quality control processes. • Commitment to maintaining data confidentiality and security. Compensation: $6 - $7 hourly

    • Data Entry Specialist Responsibilities: • Accurately input, update, and maintain data in CRM and CSM systems. • Verify data accuracy and completeness to ensure high-quality standards. • Assist in resolving discrepancies or errors in data entries. • Collaborate with team members to ensure timely completion of tasks. • Adhere to company policies and procedures regarding data confidentiality and security.Data Analyst Responsibilities: • Analyze large datasets to identify trends, patterns, and potential areas of improvement. • Develop reports and dashboards to track performance and highlight insights. • Utilize advanced Excel skills to visualize data and create forecasting models. • Develop and execute data-driven strategies to improve operational and financial performance. • Use programming languages such as SQL, Python, and R to extract, analyze, and manipulate data. • Collaborate with cross-functional teams to identify opportunities to use data to inform decision-making. • Develop data governance and quality control processes to ensure data accuracy and integrity. • Monitor industry trends and best practices in data analytics. • Present findings to stakeholders clearly and concisely.