Okay, I've searched for Data Scientist roles specializing in marketing analytics in Jackson County, MO, requiring 3+ years of experience, supporting remote or hybrid job modes, and emphasizing Python and Power BI skills. I have found 72 positions for you.

Sure. Here's the analysis:

Job Analysis:

This Data Scientist role at Zelis is strategically designed to leverage data science capabilities to enhance marketing and commercial analytics, aiming to unlock actionable business insights that accelerate growth and improve decision-making across multiple teams. The candidate will own the entire analytics lifecycle, meaning they must be proficient not only in technical skills like Python, SQL, and Power BI but also capable of managing raw data ingestion, cleaning, predictive modeling, and delivering insights through compelling visual storytelling. Given the cross-functional nature of the work, collaboration with marketing, sales, product, and client teams is essential, demanding strong communication skills to translate complex analytics into accessible, strategic business context. The role involves solving data quality and governance challenges, suggesting the candidate needs a meticulous attention to detail and a proactive mindset to improve analytics workflows continuously. Success in this position depends on the ability to deliver scalable, user-friendly analytics solutions that directly inform go-to-market strategies and campaign optimizations. The role’s complexity requires autonomous project management and adaptive problem-solving to navigate ambiguous data and multi-source integration. Although healthcare experience is preferred, the focus is more on applying advanced analytics to commercial marketing challenges within a fast-evolving healthcare financial ecosystem. Candidates will likely be measured on their capacity to influence business outcomes via predictive insights, segmentation strategies, and cross-team partnership effectiveness within the first year.

Company Analysis:

Zelis operates in the healthcare financial technology space, positioning itself as a modernizer that connects payers, providers, and consumers to streamline and optimize healthcare financial experiences. Their platform’s reach across major national and regional payers establishes them as a significant and trusted player in a complex, highly regulated industry with substantial market influence. This company values innovation, technological expertise, and holistic problem-solving, reflecting a culture that embraces both data-driven rigor and cross-functional collaboration. Given their commitment to inclusivity and diverse perspectives, Zelis likely fosters an open, supportive work environment with a blend of remote and hybrid arrangements to accommodate diverse work styles. The strategic placement of this Data Scientist role within marketing and commercial analytics suggests Zelis is focusing on growth through enhanced data capabilities and smarter go-to-market actions. The candidate will likely engage with multiple departments, reporting into a team where analytical deliverables have direct visibility to leadership and business stakeholders, highlighting the opportunity for substantial impact and recognition. Success at Zelis will require adaptability to a fast-paced, evolving corporate environment that is mission-driven yet pragmatic, combining healthcare domain nuances with cutting-edge data science. This role is not only integral to advancing Zelis’ analytics maturity but also pivotal in supporting their broader mission to optimize healthcare financial interactions across the ecosystem.

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

• Behavioral: Tell me about a time when you led a complex data science project that required managing multiple stakeholders with different priorities. How did you ensure alignment and successful delivery?
• Behavioral: Describe an occasion where you identified a data quality issue that impacted business decisions. How did you uncover the problem, and what steps did you take to resolve it?
• Behavioral: Give an example of how you have used storytelling or visualization to explain technical results to a non-technical audience. What was the outcome?
• Behavioral: Share an experience where you had to rapidly learn and apply a new technology or tool to improve your analytics workflow. What motivated you, and what was the impact?
• Technical: How would you approach building a predictive model to improve marketing campaign targeting using CRM and external data sources?
• Technical: Explain your experience with creating dashboards in Power BI or Tableau. What strategies do you employ to make them intuitive for stakeholders at different levels of technical expertise?
• Technical: Discuss how you have used A/B testing in previous roles to optimize marketing or commercial initiatives. What factors do you consider when designing these experiments?
• Technical: Describe your process for integrating and reconciling data from multiple systems, such as Salesforce, Hubspot, and external campaign tools.
• Situational: Imagine you discover conflicting data insights between marketing and sales reports during an urgent campaign review. How would you handle this situation?
• Situational: If a business leader asks for an urgent advanced analytics insight but provides little detail on their objectives, how would you clarify and deliver a useful solution?
• Situational: You are tasked with recommending new analytics tools and AI-based techniques. How would you evaluate options and convince your team to adopt these innovations?
• Company Fit: What about Zelis's mission to modernize healthcare financial experiences resonates most with you, and how do you see yourself contributing to that vision?
• Company Fit: Zelis emphasizes collaboration across marketing, sales, product, and client teams. How do you ensure effective communication and partnership in cross-functional settings?
• Company Fit: What interests you most about applying data science within the healthcare financial services industry compared to other sectors?
• Candidate Questions: Can you describe how the Analytics team currently collaborates with marketing and product leadership to drive commercial strategy?
• Candidate Questions: How does Zelis invest in professional development and keep analytics teams up-to-date with evolving healthcare technology and data science trends?
• Candidate Questions: What are the immediate priorities for this Data Scientist role in the first 6 to 12 months, and how is success measured?