Okay, I’ve searched for Sr. Data Analyst roles in Fort Worth, TX that require 5 years of experience, strong SQL skills, offer remote work options, and have a salary starting at $85,500. I found 112 suitable positions for you to explore.

Sure. Here's the analysis:

Job Analysis:

The Sr. Data Analyst role at Lockheed Martin is fundamentally focused on transforming raw data into actionable insights that directly support business strategies within the Aeronautics Data Analytics Team. This position requires a depth of understanding not only in data analysis but also in the ability to decipher business needs through stakeholder engagement. Candidates will be expected to manage complex data environments, conduct interviews with business users, document requirements, and ensure that these translate into technical specifications for IT teams. This requires a blend of analytical, communication, and collaborative skills. Success in this role hinges on the ability to drive clarity from ambiguity and propose data-driven solutions that directly impact business operations. Additionally, candidates will need to demonstrate a proficiency with various data visualization and data prep tools, highlighting the importance of technical acumen in a data-rich environment. Furthermore, the role demands familiarity with ERP systems like SAP and relational databases, positioning the candidate to influence broader operational strategies within the organization, especially concerning supply chain, HR, and finance functionalities. The overarching expectation is to create compelling narratives from data that not only illustrate performance but also suggest avenues for improvement.

Company Analysis:

Lockheed Martin occupies a critical position within the national security landscape, known for its cutting-edge technologies and innovative solutions. The company's commitment to excellence and collaboration suggests a dynamic work environment where analytical rigor and teamwork are paramount. Given the emphasis on national security and technological advancement, employees are likely to face challenges that require quick adaptation and problem-solving capabilities. The culture appears to prioritize flexibility and employee well-being, valuing diverse career opportunities and a supportive environment—elements that are attractive for talent looking to thrive within a substantial and evolving organization. The Sr. Data Analyst position is not just an individual contributor role; it is situated within a larger structure that interacts closely with project leadership and cross-functional teams, thus providing significant visibility to upper management. This role is strategic, aimed at enhancing business transformation initiatives—suggesting that your contributions will be vital in not just data management but in steering company decisions based on business analytics. Adaptability, strong communication, and a proactive approach to driving insights from data will be crucial for long-term success in this environment.

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

• Tell me about a time when you had to gather requirements from a diverse group of stakeholders. How did you ensure that everyone’s needs were met?
• Can you describe a complex data analysis project you worked on, including the specific tools you used and the impact your analysis had on the organization?
• Give an example of a situation where you identified an emerging trend from data analysis. How did you present your findings to stakeholders?
• How would you handle cross-team communication when business requirements are uncertain or subject to change?
• What steps would you take to validate and test your data analyses before presenting them to project leadership?
• How do you prioritize conflicting data requirements from different business units when developing user stories?
• Imagine you are tasked with analyzing a new supply chain process that is underperforming. What data would you examine, and what steps would you take to address the problem?
• Suppose you discover a significant discrepancy in data quality during your analysis. What approach would you take to resolve this issue?
• Why are you interested in working at Lockheed Martin specifically, and how does this role align with your career aspirations?
• What aspects of our company culture do you find most appealing, and how do they resonate with your values?
• What innovative data solutions have you implemented in the past, and how did they contribute to your team’s objectives?
• How do you stay updated on the latest data analytics tools and methodologies, and what new skills are you currently focusing on?
• What questions do you have about the Aeronautics Data Analytics Team's current projects and challenges?
• How does your experience prepare you to effectively support IT teams in translating business requirements into technical specifications?
• Can you elaborate on your experience with relational databases and how you utilize them to extract meaningful data?