Okay, I've searched for senior data science or business intelligence analyst roles that are remote, full-time, located in Atlanta, GA, requiring skills in Power BI and SQL, and offering annual bonuses. I have found 74 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Senior Data Science/Business Intelligence Analyst role at LexisNexis Risk Solutions is fundamentally about transforming complex, multifaceted data into clear, actionable insights that drive key business decisions around risk and operational performance. The candidate is expected to act as both a hands-on technical expert and a strategic advisor, tackling challenges such as interpreting raw, interrelated data sets, improving data workflows, and delivering polished analytics solutions using advanced BI tools like Power BI integrated with Microsoft’s data ecosystem. Success will require a deep technical toolkit including SQL, statistical modeling, and programming in Python or R, but equally important will be the ability to communicate findings clearly to diverse stakeholders, influence strategies, and mentor junior staff—implying a high degree of independence and leadership within a cross-functional, matrixed environment. The role demands a proactive mindset, critical thinking to identify data anomalies or opportunities, and a keen eye for dashboard design that elevates decision-making. Performance likely will be measured on the ability to enable business growth and risk mitigation through reliable, insightful reporting, streamlined data delivery, and fostering organizational learning. The job’s complexity stems not just from the technical rigor but from the need to align analytics closely with enterprise objectives in a highly regulated, risk-sensitive context.

Company Analysis:

LexisNexis Risk Solutions, under the RELX umbrella, operates as a trusted global leader in data analytics focused on risk assessment across industries like finance, legal, and government. The company blends stability with innovation, leveraging data to solve critical problems in fraud detection, compliance, and credit risk, which positions it as both a reliable partner and a disruptor in its verticals. The culture inferred is mission-driven and inclusive, emphasizing continuous improvement, diverse perspectives, and ethical data use—all vital in a sector where trust and accuracy are paramount. The Business Transformation Office where this role resides appears to foster collaboration and change leadership, encouraging autonomy while embedding teamwork and cross-organizational influence. Given the strategic nature of this hire—supporting enterprise-wide initiatives through sophisticated business intelligence—candidates can expect visibility within senior leadership circles and the opportunity to shape the BI landscape. The role fits into long-term company goals of scaling data-driven decision-making and operational excellence, reflecting a commitment to both innovation and societal impact through trustworthy analytics.

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

• Behavioral: Tell me about a time when you had to translate complex data insights into a clear story for a non-technical stakeholder. How did you ensure your message was effective?
• Behavioral: Describe a situation where you identified a significant data quality issue. What steps did you take to resolve it, and what was the outcome?
• Behavioral: Can you share an experience mentoring junior analysts? How did you balance their development with your own workload?
• Behavioral: Tell me about a time you influenced a cross-functional team or senior leadership to change a business process based on your analytics findings.
• Technical/Role-Specific: How would you design a Power BI dashboard to track operational risk metrics that require drill-down capabilities? What key elements would you include?
• Technical/Role-Specific: Explain your approach to building and optimizing SQL views and data models that support large-scale analytics projects.
• Technical/Role-Specific: Describe your experience implementing automated data refresh pipelines or deployment workflows. Which tools did you use and why?
• Technical/Role-Specific: How do you validate the accuracy and integrity of complex statistical models used for performance trend analysis?
• Situational: Imagine you uncover conflicting data sources impacting a critical monthly report. How would you investigate and resolve this discrepancy?
• Situational: Suppose a business leader requests a dashboard prototype with a very tight deadline and incomplete data. How would you prioritize your work and manage expectations?
• Situational: You notice that junior team members are producing inconsistent data visualizations that could confuse end users. How would you address this while fostering their growth?
• Company Fit/Motivation: What motivates you to work at LexisNexis Risk Solutions and specifically in a role that supports risk and operational analytics?
• Company Fit/Motivation: How do your personal values align with RELX’s purpose of benefiting society through trustworthy, impactful data products?
• Company Fit/Motivation: Given that this role requires influencing and collaborating across a matrixed organization, how have you successfully navigated similar environments in the past?
• Questions for the Candidate to Ask the Interviewer: How does the Business Transformation Office measure the impact of its analytics on enterprise goals?
• Questions for the Candidate to Ask the Interviewer: What are the biggest data challenges currently facing your BI team, and what initiatives are planned to address them?
• Questions for the Candidate to Ask the Interviewer: Can you describe the typical career growth opportunities for analysts within LexisNexis Risk Solutions and RELX?