Okay, I've searched for Data Analyst or Data Engineer roles in Atlanta, GA, requiring 7+ years of experience, with expertise in SQL and Power BI, particularly in the legal industry. I have found 58 positions for you.

Sure. Here's the analysis:

Job Analysis:

This role as a Legal Data Analyst / Data Engineer at Greenberg Traurig is fundamentally designed to bridge the intersection of data science and legal expertise. The hire is expected to leverage advanced analytics skills to scrutinize extensive legal datasets, uncover patterns, and provide actionable insights that directly influence legal strategies and case outcomes. Beyond technical acumen in tools like Excel, SQL, and Power BI, success hinges on keen attention to detail, strong organizational ability, and adaptability to shifting priorities and tight deadlines common in legal contexts. The role demands someone accustomed to navigating the intricacies of legal procedures and regulations, ensuring data privacy and compliance—a critical aspect given the sensitivity of legal data. The candidate will need to be a proactive problem solver who can both independently manage complex data architectures and collaborate cross-functionally with attorneys and stakeholders to tailor data solutions to evolving legal questions. The position’s responsibilities indicate an environment where balancing technical rigor with legal nuance is crucial, and where delivering timely, accurate, and insightful reports will define impact. Early success likely means establishing robust data collection and reporting systems, building trust with legal teams, and demonstrating how data can clarify legal strategies.

Company Analysis:

Greenberg Traurig stands as a global leader in the legal services industry, with a significant footprint spanning multiple continents and a reputation for innovation, client-focused solutions, and social responsibility. Working here situates the candidate within a well-established yet forward-thinking firm that values collaboration and technological adoption to meet complex, cross-border legal challenges. The company culture, inferred from its recognition as a Leading Edge Law Firm and emphasis on philanthropic and pro bono initiatives, suggests an environment that prizes intellectual rigor, ethical standards, and innovative problem solving. The role within the Innovation Team likely benefits from a culture encouraging cutting-edge approaches and continuous improvement. Given the firm's size and prominence, the candidate can expect to interface with diverse teams across geographies, requiring strong communication and adaptability. The hybrid work model reflects an emphasis on flexibility. Strategically, this is a growth- and innovation-driven hire—positioned to enhance the firm's data capabilities, enabling competitive advantage in legal analytics to support decision-making. The role’s visibility to leadership and collaboration with high-level stakeholders means the analyst not only contributes technical expertise but also plays a vital role in shaping data-driven legal strategies aligned with the firm’s broader goals.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to adapt quickly to changing priorities and still meet a tight deadline. How did you manage your tasks?
• Behavioral: Describe an occasion when you identified a critical pattern or insight in complex data that influenced a business or legal decision. What was your approach and outcome?
• Behavioral: Share an experience where you collaborated with non-technical stakeholders to understand their needs and translate them into a data solution. How did you ensure effective communication?
• Behavioral: Can you discuss a situation where you had to maintain confidentiality and handle sensitive information carefully? What protocols did you follow?
• Technical: How would you design and implement a data model in Power BI to track and visualize trends in legal case outcomes over time?
• Technical: Explain your experience writing complex SQL queries to extract, clean, and transform large legal datasets. Can you give a specific example?
• Technical: Describe your familiarity with Azure services such as Synapse, Data Factory, or Azure AI. How have you integrated these tools into a data analytics pipeline?
• Technical: What techniques do you use to ensure data accuracy and integrity, especially when dealing with multiple sources of legal data?
• Situational: Imagine you receive conflicting data inputs from different legal teams that impact the accuracy of your reports. How would you resolve this and maintain stakeholder trust?
• Situational: You are tasked with generating insights to support a case under a very tight deadline but the raw data is messy and incomplete. What steps do you take to deliver useful analysis on time?
• Situational: A new regulation changes data privacy requirements that affect your current data collection processes. How would you ensure compliance while minimizing disruption to ongoing analysis?
• Company Fit/Motivation: Why does Greenberg Traurig's approach to innovation and legal services appeal to you, and how do you see yourself contributing to it?
• Company Fit/Motivation: How does your background align with the challenges of working in a law firm environment and supporting legal strategies through data analysis?
• Company Fit/Motivation: Given our global footprint and cross-functional teams, how do you approach collaboration and communication with diverse stakeholders?
• Questions for Interviewer: How does the Innovation Team currently measure success in its legal analytics initiatives, and what are the key priorities for the next year?
• Questions for Interviewer: Can you describe how this role interacts with attorneys and other stakeholders on a day-to-day basis?
• Questions for Interviewer: What opportunities exist for professional development and growth within the data analytics team at Greenberg Traurig?