Okay, I've searched for Business Intelligence and Analytics Analyst roles in Dearborn, MI. Based on your criteria of having 2+ years of experience with Python and SQL and looking for positions that include benefits like 401(k) and disability insurance, I have found 25 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Business Intelligence and Analytics Analyst role at Lensa via HTC Global Services is fundamentally tasked with transforming complex data into actionable insights that guide strategic decision-making for both the company and its clients. The core responsibilities involve utilizing advanced statistical and data modeling techniques using a variety of programming tools such as Python and R, coupled with visualization tools like Power BI, enabling effective storytelling through data. In a rapidly evolving environment where problems often lack clear definitions, the candidate must demonstrate not only technical proficiency but also an inquisitive mindset and proactive approach to problem-solving. Success in this role will likely require a balancing act between independent project management and collaborative efforts within cross-functional teams, contributing to the overall mission of leveraging technology to enhance career matchmaking capabilities. The ideal candidate will also embrace a continuous learning ethos, adapting to new tools and methodologies that elevate the analytical processes to uncover deeper insights and patterns in data that support user experience and business growth.

Company Analysis:

Lensa positions itself as a leading career platform, significantly reshaping how individuals and companies navigate the job market using cutting-edge machine learning technology. As a relatively young company, founded in 2016, it is not only focused on providing efficient job search solutions but also on fostering a user-oriented experience that keeps its candidates' needs at the forefront. As an employee at Lensa, particularly in the analytics role, one may expect a dynamic and innovation-driven environment that values collaboration, diversity, and continuous improvement. The company’s significant growth, showcased by achieving over 10 million job seeker registrations, indicates a strong market presence that could translate into impactful projects and visibility for the role within the organization. The emphasis on team collaborations with various experts suggests that this role is not only critical for data interpretation but also for driving meaningful changes to enhance user engagement and operational efficiency. Given the company's commitment to inclusiveness, flexibility, and professional growth, candidates looking for a culturally rich and engaging work experience will find alignment with Lensa’s values.

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

• Tell me about a time when you had to adapt your analysis approach due to unexpected data challenges.
• Can you provide an example of a successful project where you utilized Python or R for data modeling?
• Describe a situation where you worked with stakeholders to define and clarify project goals amidst ambiguity.
• What was the most complex visualization tool you used, and how did it contribute to your project's success?
• How would you approach analyzing site traffic data using regression analysis?
• What are the key differences between linear and logistic regression, and when would you use each?
• Imagine you are facing incomplete data while trying to generate insights for a client. How would you approach this challenge?
• If tasked with building a data pipeline for a new business domain, what steps would you take to ensure its effectiveness?
• Why are you interested in working for Lensa specifically, and how does this role align with your career goals?
• How do your values and working style align with the principles of diversity and inclusion that Lensa promotes?
• What experience do you have working with cloud data sources like GCP, and how have you utilized these in past projects?
• What questions do you have about the team dynamics within the analytics department at Lensa?
• How do you see emerging technologies impacting the future of business intelligence and analytics?