Great! I've looked for Business Analytics Consultant roles in Southfield, MI, requiring over 2 years of experience, involving cloud data platforms, and offering full-time employment with a pension plan. I found 42 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The Business Analytics Senior Consultant at Plante Moran is primarily tasked with enhancing client data environments to support informed decision-making within businesses. This role goes beyond technical execution; it embodies a deep understanding of client needs and the ability to architect solutions that effectively utilize data. Key responsibilities such as gathering requirements, designing data architecture, and deploying advanced SQL scripting mean that the consultant must possess both analytical acumen and a capacity for cross-functional collaboration. The emphasis on mentoring less experienced staff also suggests a leadership component, highlighting the importance of knowledge transfer within the team. Candidates will likely face challenges such as managing multiple data development projects and navigating complex technical hurdles. Success in this role includes delivering impactful analytics solutions, contributing to innovation projects, and fostering a culture of growth and collaboration within the firm.

Company Analysis:

Plante Moran operates as a significant player in the accounting and consulting landscape, characterized by a strong commitment to its people-first culture, which is evidenced by their tagline 'a people firm disguised as an accounting firm.' This emphasizes the organization’s belief that personal relationships and understanding client needs are central to their business model. With a focus on diversity, equity, and inclusion, the company aims to cultivate a robust workplace culture that values individuality while promoting teamwork. The Business Analytics Senior Consultant will fit into a collaborative environment that prioritizes innovation and continuous improvement, indicating that employees are encouraged to think outside the box and be proactive in proposing solutions. Given Plante Moran’s flexible work model, the consultant will need to balance in-person collaboration with self-directed tasks, reinforcing the importance of adaptability and communication. This role will directly contribute to the firm’s broader strategic goals of operational excellence and client satisfaction, particularly as they relate to the deployment of modern analytics capabilities.

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

• Tell me about a time when you had to gather requirements from stakeholders. What strategy did you use to ensure you understood their needs?
• Describe a complex technical challenge you faced in a previous data engineering project and how you resolved it.
• How do you approach managing multiple concurrent projects? Can you provide an example of a time when you successfully balanced responsibilities?
• What methodologies do you find most effective when facilitating the conceptual/data modeling process?
• How would you design a data pipeline for a client in the construction industry? What specific factors would you consider?
• Can you walk us through your experience with ETL technologies like Azure Data Factory or SSIS? What projects have you applied them to?
• In your view, what are the key components of a successful data warehouse, and how would you ensure they are incorporated into your designs?
• Imagine you are tasked with developing a report for a client who has limited understanding of data analytics. How would you communicate the insights effectively?
• Why are you interested in Plante Moran specifically, and how do you see your role contributing to our firm’s mission?
• How do your personal values align with Plante Moran’s commitment to diversity, equity, and inclusion?
• What questions do you have about our 'Workplace for Your Day' model and how it operates within our firm?
• What aspects of our company culture resonate most with you, and how do you see yourself thriving in that environment?
• If hired, what would be your immediate priorities in the first 30 days to ensure a smooth transition into this role?
• How do you stay current with developments in data analytics technologies, and how do you incorporate those insights into your work?