Okay, I've searched for remote Data Intelligence and Analytics Consultant roles that focus on Microsoft Azure and IBM Data Intelligence, along with experience in data integration tools like Apache Airflow and Talend. I've found 27 suitable positions for you that are contract-based.

Sure. Here's the analysis:

Job Analysis:

The role of the Data Intelligence & Analytics Consultant at SQA Group centers around driving data-driven decision-making by leveraging advanced data platforms and architecting solutions that can seamlessly integrate into clients' operations. This position requires both strategic oversight and hands-on involvement in data architecture conversations, emphasizing the duality of advisory and practical execution. The consultant will primarily focus on working with cloud-native data solutions like Microsoft Fabric and IBM's Data Intelligence ecosystems, necessitating familiarity with a variety of tools for data integration and automation. Given the consultative nature of the role, strong client-facing skills and the ability to translate complex data strategies into actionable insights will be paramount. Success in this role will likely manifest in effective stakeholder engagement, successful implementation of data strategies, and a clear contribution to optimizing clients' data capabilities to maintain a competitive edge in their respective markets.

Company Analysis:

SQA Group operates as a specialized services firm in the rapidly evolving landscape of data intelligence and analytics, highlighting its niche focus on helping businesses exploit the full potential of their data. As a company that embraces digital innovation and software engineering, SQA stands out in a market that increasingly values data-driven insights for competitive advantage. Their commitment to staying at the forefront of technologies, like Microsoft Fabric and IBM's platforms, indicates a forward-thinking approach and an adaptation to emerging trends in data management. The company culture appears to value collaboration, innovation, and expertise across diverse data environments, which could foster a dynamic working environment for the consultant. This role is likely positioned within a team of skilled professionals, providing ample opportunities for collaboration and visibility with leadership as the firm's projects evolve. Additionally, the emphasis on preemptively connecting with consultants for future opportunities highlights SQA's strategic orientation towards growth and agility in service delivery, making this role crucial for supporting their client engagement efforts and long-term objectives.

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

• Describe a time when you had to guide stakeholders through a complex data strategy conversation. What challenges did you face and how did you overcome them?
• Can you share an example of a project where you used Microsoft Fabric or IBM’s Data Intelligence tools? What was your specific role, and what outcomes were achieved?
• Tell me about a scenario where you had to implement a data integration solution using Apache Airflow or a similar technology. What was your approach?
• In your experience, what are the key considerations when building a data mesh architecture? Can you provide an example?
• How would you assess a client's existing data architecture and recommend improvements? What factors would you prioritize?
• Imagine a client is struggling to leverage their data effectively across platforms. What steps would you propose to identify and resolve the issues?
• If you had to develop a data pipeline for a client using Azure Event Hub, what would your initial steps look like?
• How do you keep up with the evolving data solutions offered by Microsoft and IBM? Can you share any specific resources or practices you use?
• What interests you most about the opportunity at SQA Group, and how do you see your values aligning with our mission?
• Why do you think data intelligence is crucial for companies today, and how do you see its role in the future?
• What questions do you have for us about the types of client projects the Data Intelligence & Analytics Consultant will be involved in?
• Can you describe how you collaborated with cross-functional teams in a previous role to deliver a successful data solution?
• How would you evaluate the quality and usability of a data product you designed or implemented?
• What is your approach to prioritizing tasks in a consulting role where client needs may vary significantly?