Data Analyst Jobs

About The Position

Requirements

• Education: Bachelor’s degree in data science, Computer Science, Information Technology, or a related field.
• Experience: 3+ years of experience in data analysis within a professional environment, preferably in a law firm or professional services setting.
• Technical Skills:
• Proficiency in Microsoft Azure, including Azure SQL Database, Data Factory, and Power BI.
• Experience with Salesforce or other CRM platforms; familiarity with CRM data structures and integration processes.
• Strong SQL skills and experience working with large datasets.
• Knowledge of data visualization tools, particularly Power BI.
• Soft Skills:
• Excellent analytical and problem-solving skills.
• Strong communication skills with the ability to present complex data in an understandable format.
• Highly organized, detail-oriented, and able to work independently as well as collaboratively.

Nice To Haves

• Familiarity with scripting languages (e.g., Python, R) for data manipulation and analysis is a plus.

Responsibilities

• Data Analysis and Reporting: Collect, analyze, and interpret data to support various departments, including marketing, client services, and legal operations. Develop reports, dashboards, and data visualizations to present findings clearly and concisely.
• Microsoft Environment: Utilize Microsoft Azure for data storage, integration, and analysis. Work with Azure SQL, Power BI, and other Microsoft tools to streamline data processes and ensure data integrity.
• Salesforce Management: Support the management and optimization of the firm’s Salesforce system, including Salesforce development and integrations. Analyze client data, monitor data quality, and assist in Salesforce apps integration projects.
• Data Integration: Collaborate with IT and other departments to integrate data from multiple sources, ensuring consistency and accuracy across platforms. Develop data pipelines and automation workflows using Azure Data Factory and other tools.
• Predictive Analytics: Apply statistical methods and machine learning models to forecast trends, enhance business strategies, and improve client outcomes.
• Data Governance: Assist in maintaining data governance standards, ensuring data privacy, security, and compliance with industry regulations.
• Collaboration and Support: Work closely with IT, HR, Marketing, and Client Services teams to understand data needs, provide technical support, and ensure data-driven decision-making across the firm.

Benefits

• Competitive pay and benefits: medical, vision, dental, 401(k)
• Paid PTO, Holidays
• Weekly breakfast/lunch provided for staff
• Fun company culture with an emphasis on teamwork
• Paid parking
• Annual firm outings
• Paid early closures on workdays before holidays and firm events