Okay, I found several Senior Data Analyst roles in Dayton, OH that are full-time and involve data visualization, particularly with Tableau. These positions require strong skills in Python and MATLAB, and are in the defense or aerospace industry. There are 45 opportunities for you to explore.

Sure. Here's the analysis:

Job Analysis:

The Senior Research/Data Analyst role at COLSA is fundamentally focused on transforming raw data from various USAF systems into actionable insights. This includes identifying trends to inform decision-making and improve operational efficiency, which is vital in a high-stakes defense environment where accuracy and timely data are critical. The primary responsibilities will require the analyst to ensure data integrity across multiple sources, conduct thorough validations, and collaborate across departments, highlighting the need for strong teamwork and communication skills. Success in this role involves not only technical proficiency in data analysis tools like JMP, MATLAB, and Python but also the strategic application of quantitative methods to directly influence outcomes related to aircraft performance. The position demands a proactive approach, where the analyst must navigate complex datasets and potentially conflicting information while brainstorming innovative solutions to inherent problems. Even though KPIs are not explicitly stated, an effective analyst would likely be expected to increase data accuracy and decrease turnaround time for reporting within the first 6–12 months, thus significantly contributing to the organization's operational effectiveness and the mission of the USAF.

Company Analysis:

COLSA operates within the defense, intelligence, and aerospace sectors, positioning itself as a provider of advanced solutions including cyber warfare and data science. This industry climate is marked by rapid technological change and stringent regulatory oversight, further heightening the importance of precise data analysis and insight generation. The company's commitment to innovation is reflected in its diverse capabilities and emphasis on rapid prototyping, indicating a culture that values agility and performance over rigidity. Consequently, employees in this environment are likely to appreciate an entrepreneurial mindset and adaptive problem-solving abilities. The Senior Research/Data Analyst will be a critical member of cross-functional teams, granting them potential visibility with leadership and a chance to directly impact project outcomes. Given that COLSA prides itself on its employee-centric culture, candidates should expect a collaborative atmosphere where their contributions are valued, aligning with the company's broader goals of delivering exceptional service to its defense and civil market clients. This role not only supports immediate operational needs but also plays a part in enhancing COLSA's long-term strategic objectives by facilitating informed decision-making based on accurate data insights.

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

• Tell me about a time when you had to navigate conflicting data sources to derive a conclusion. What was your approach?
• Can you describe your experience with data visualization tools, specifically Tableau? How have you used visualization to communicate complex data?
• Share an example of a project where you had to work under tight deadlines. How did you ensure the quality of your work?
• How would you go about validating data accuracy for maintenance records in a high-stakes environment like the USAF?
• What mathematical modeling techniques are you familiar with, and how have you applied them in your previous roles?
• Describe how you would utilize Python for data analysis in the context of monitoring aircraft performance parameters.
• Imagine you are faced with a situation where data inputs from several USAF organizations are inconsistent. What steps would you take to address this?
• If tasked with developing a new methodology for data collection and reporting, how would you ensure alignment with organizational goals?
• Why are you interested in working at COLSA specifically and how do you align with our values?
• How do you see yourself contributing to COLSA's mission in the defense sector over the next year?
• What challenges do you anticipate in this role, and how would you prepare to tackle them?
• What additional skills or knowledge areas do you think would be beneficial for this role, given COLSA's focus on innovation?
• What questions do you have about our current projects and how the Senior Data Analyst role contributes to them?
• In your opinion, what is the importance of cross-department collaboration in data analysis, especially in a defense context?