Okay, I've searched for Analyst roles centered on data analytics and machine learning in Chicago, specifically for full-time positions, with a minimum salary expectation of $70,000, and requiring skills in Python and SQL. I have found 87 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Analyst, Risk Data Infrastructure & Technology position is fundamentally about leveraging advanced analytics to harness data for strategic business decisions at BMO. This role combines technical coding skills, primarily in Python and SQL, with a keen understanding of machine learning and artificial intelligence to design solutions that enhance customer experiences and operational efficiency. The primary responsibilities revolve around utilizing complex algorithms to analyze large datasets, deriving actionable insights, and developing predictive models. A key aspect of this position is the expectation to collaborate across teams, indicating a necessity for strong interpersonal skills alongside technical expertise. Candidates will face challenges such as navigating large volumes of structured and unstructured data, ensuring accuracy in analytics, and coping with evolving data technologies. Success will likely manifest in the form of developed models that contribute meaningfully to market competitiveness and the proactive identification of consumer trends within the first six months of support.

Company Analysis:

BMO is positioned as a committed player in the financial services industry, emphasizing adaptability and customer-centricity in its operations. This focus on evolving to meet customer needs while retaining core values reveals a culture that likely prioritizes innovation and responsiveness. For someone stepping into the Analyst role, this suggests a fast-paced and possibly collaborative environment that encourages creativity and critical thinking in problem-solving. This role fits as a critical part of a broader team, likely interacting with various departments to deliver insights that guide strategic business initiatives. BMO's emphasis on personal commitment and creating positive change indicates that they appreciate employee engagement and value contributions that foster growth — both in the business and the community. Aligning this role within BMO’s purpose of ‘Boldly Grow the Good’ suggests that analysts can expect to play a significant part in driving forward-thinking solutions that enhance the organization’s impact in the financial sector.

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

• Tell me about a time when you had to leverage data to drive a business decision. What was your approach?
• Describe a challenging data analysis project you worked on. What were the outcomes?
• Can you provide an example of how you've used Python or SQL in a previous project?
• How do you prioritize tasks when dealing with competing deadlines in a data-centric environment?
• How would you approach developing a predictive model for consumer behavior? What factors would you consider?
• Describe your experience with machine learning algorithms. Which technologies have you found most effective?
• Imagine you're faced with a dataset that has missing values and outliers. How would you handle this situation?
• If you find a significant trend that conflicts with existing business assumptions, how would you present this to stakeholders?
• Why are you interested in working at BMO specifically?
• How do your personal values align with BMO's purpose to grow the good in business and life?
• What are your long-term career goals, and how does this role at BMO fit into those plans?
• What resources do you think would be beneficial in helping you adapt to this role?
• How would you respond if asked to explain a complex data analysis to a non-technical audience?
• Can you ask about the current projects the Risk Data Infrastructure team is focusing on?