Okay, I've searched for Senior Business Analyst roles in Charlotte, NC, focused on Business Intelligence and Data Engineering, requiring 7+ years of experience, preferably in a hybrid work environment and involving strong SQL skills. I have found 34 positions for you.

Sure. Here's the analysis:

Job Analysis:

The primary purpose of the Sr. Business Analyst role within the Global Data Engineering and Business Intelligence team is to act as a bridge between business stakeholders and technical teams, ensuring that data solutions effectively meet business needs. Key responsibilities include gathering requirements, creating source-to-target mappings, and developing prototypes for data integration projects. Success in this role will likely hinge on the candidate's ability to facilitate clear communication and collaboration among diverse teams, effectively translate business needs into technical specifications, and ensure quality assurance in the solutions provided. Candidates can anticipate challenges related to aligning technical capabilities with evolving business priorities and maintaining stakeholder engagement in a hybrid working environment. Therefore, a candidate who possesses strong technical proficiency, particularly in SQL, BI tools like Power BI, and has experience in Agile methodologies, will be well-positioned to navigate this landscape and contribute to the team's objectives.

Company Analysis:

Talent Groups operates in the IT talent solutions sector, serving a variety of clients from start-ups to Fortune 500 companies, with a strong emphasis on healthcare IT. Positioned as a leader in this space, the company prioritizes operational excellence and agile transformation, which suggests a dynamic and innovative work environment. The company culture values collaboration, as indicated by their mission to connect talent with opportunities while delivering exceptional experiences. The Sr. Business Analyst role is crucial in this context because it requires not only technical expertise but also the ability to foster stakeholder relationships and drive improvements in data solutions. As part of a larger BI and data engineering team, this position will likely involve regular visibility with leadership and influence on project outcomes, making it essential for the candidate to embody the company’s principles of recognizing talent and leveraging it for success.

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

• Tell me about a time when you had to gather conflicting requirements from multiple stakeholders. How did you ensure everyone was aligned?
• Describe a project where you successfully led a team to deliver a data solution. What challenges did you face and how did you overcome them?
• Can you provide an example of how you've used data modeling to influence business decisions?
• What role have you played in implementing Agile methodologies in your past projects?
• How would you approach creating a prototype for a new data solution? What steps would you take?
• What strategies do you use to ensure thorough testing and validation of solutions?
• Imagine you are faced with a scenario where a critical data requirement is missed during the initial phase of a project. How would you handle it?
• If you could improve one aspect of a data integration project you’ve worked on, what would it be and why?
• Why do you want to work at Talent Groups, and how do you think your experience aligns with our mission?
• What do you understand about our company’s approach to connecting talent with opportunities, and how does that resonate with you?
• What questions do you have about our team structure and how the Sr. Business Analyst role interacts with other functions?
• Are there any tools or methodologies you feel strongly about that you'd recommend for our data engineering projects?
• What is your preferred method for documenting business requirements and why do you think it's effective?
• How do you prioritize your tasks when managing multiple projects in a fast-paced environment?
• What are some of the most significant trends in BI and data engineering that you think our company should keep in mind?