Okay, I've searched for Senior Data Science and Business Intelligence Analyst roles that are remote, full-time, require 5+ years of experience, and demand skills in Power BI and SQL. I have found 142 positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

This Senior Data Science/Business Intelligence Analyst role at LexisNexis Risk Solutions is fundamentally about transforming complex data into clear, actionable intelligence that drives strategic decision-making within a highly regulated and fast-evolving risk assessment environment. The role demands not only technical mastery in SQL, Power BI, and programming languages like Python or R, but also a strong strategic mindset that can influence senior leadership and cross-functional teams. The candidate will face challenges such as integrating disparate data sources, ensuring compliance and data integrity, and delivering insightful analytics that directly impact business operations in high-stakes domains like anti-money laundering and fraud prevention. Success here means providing scalable, maintainable BI solutions that empower stakeholders with timely insights, mentoring junior talent to elevate the overall team capability, and proactively identifying areas where data can create competitive advantages or operational efficiencies. Independence and strong communication skills are crucial, as the role involves translating complex technical findings into compelling stories for diverse audiences. Beyond technical skill, the position implies a challenge to drive continuous process improvements and foster collaboration in a matrixed organization that values innovation, rigor, and inclusivity.

Company Analysis:

LexisNexis Risk Solutions occupies a prominent position as a global leader in information-based analytics focused on risk mitigation and operational efficiency for businesses and governments, operating under the broader RELX group. It is a high-impact, mission-driven organization dedicated to supporting ethical and secure decision-making across multiple industries, reflecting stability combined with innovation efforts in complex regulatory landscapes. The company's culture appears to highly value inclusivity, continuous improvement, and cross-functional collaboration, creating an environment where analytical rigor and strategic thinking are prized. For this role, working remotely with occasional in-person collaboration suggests flexibility but also a need for strong self-motivation and communication. The team, embedded in the Business Transformation Office, underscores a forward-looking agenda focused on change management, analytics excellence, and enterprise-wide influence. Given the company’s emphasis on mentorship and best practices, this role is both an individual contributor and a thought leader, offering visibility to senior management and involvement in strategic initiatives that directly support growth and innovation. This alignment paints the role as key to advancing the company’s analytics maturity and enabling smarter, data-driven operations in fast-evolving risk domains.

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

• Behavioral: Tell me about a time when you had to influence decision-making across multiple teams without formal authority. How did you approach it and what was the outcome?
• Behavioral: Describe an experience where you identified and solved a significant data quality or compliance issue. What steps did you take to ensure accuracy and trust in your analytics?
• Behavioral: Can you share how you have mentored junior analysts or team members to improve their skills and impact? What was your approach?
• Behavioral: Give an example of when you had to explain complex analytical findings to a non-technical audience. How did you ensure clarity and engagement?
• Technical: How do you design data models and SQL views to support scalable and efficient business intelligence dashboards?
• Technical: Walk me through your process of building a Power BI dashboard from raw data extraction to deployment. What optimization techniques do you use?
• Technical: What experience do you have with ETL tools like Alteryx or Knime, and how have you integrated these tools to automate data pipelines?
• Technical: Describe how you have leveraged R or Python for advanced statistical modeling or root cause analysis in a business context.
• Situational: Imagine a key data source delivering inconsistent or delayed data during an important reporting period. How would you troubleshoot and communicate this issue to stakeholders?
• Situational: You receive competing requests from two business units for dashboard features that conflict in design or data interpretation. How would you handle this to satisfy both teams?
• Situational: If you noticed a significant drop in performance metrics that your dashboards flagged, but the cause is unclear, what steps would you take to identify the root cause and advise management?
• Company Fit: Why are you interested in working at LexisNexis Risk Solutions and how does your experience align with our focus on risk mitigation and operational excellence?
• Company Fit: How do you see your personal values and working style fitting into a mission-driven, inclusive, and collaborative environment like ours?
• Candidate Questions: How does the Business Transformation Office prioritize its analytics initiatives and measure their impact on enterprise goals?
• Candidate Questions: What opportunities exist for professional growth and mentorship within the BI team at LexisNexis Risk Solutions?
• Candidate Questions: How has the company adapted its data infrastructure or analytics strategy to address recent industry trends or regulatory changes?