Okay, I've searched for Senior Data Science or Business Intelligence Analyst roles that are fully remote, with 5+ years of experience, requiring expertise in Power BI and SQL, within the Risk Management or Business Services industry. 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, diverse data into clear, actionable insights that support critical business initiatives within an organization focused on risk assessment and operational excellence. Beyond traditional data analysis, the role demands a high degree of technical mastery in SQL, Power BI, and programming (R, Python), coupled with a strategic mindset to influence decision-making and drive continuous improvement. The candidate must navigate multifaceted data ecosystems, craft robust data models, and create engaging visual stories to aid stakeholders ranging from operational teams to executives. Independence and initiative are critical, as this person is expected not only to deliver insights but to lead improvements in data infrastructure, mentor junior staff, and collaborate across business units in a matrixed environment, often resolving ambiguity and aligning analytics initiatives with broader enterprise goals. Success in this role will be marked by the ability to elevate business intelligence standards, enhance data quality and usability, and consistently provide forward-looking, cost-effective solutions that enable smarter risk management and growth strategies. The position’s remote nature reinforces the need for strong communication and self-driven project ownership, with occasional in-person collaboration adding a layer of interpersonal nuance.

Company Analysis:

LexisNexis Risk Solutions operates as a pivotal player in the information analytics industry, specializing in risk management solutions that serve a wide spectrum of sectors including finance, compliance, and customer management. As part of RELX, a global leader known for integrating deep analytics to enable smarter decisions, the company balances stability and innovation with a mission-driven approach focused on societal benefit. This context frames the BI analyst role as a strategic contributor to solutions that have meaningful real-world impact, from preventing fraud to improving operational efficiencies. The culture appears inclusive and supportive of diversity, emphasizing personal wellbeing, mentorship, and cross-functional teamwork within a remote-friendly, yet occasionally collaborative, work environment. For the analyst, this translates to an expectation of not only technical expertise but also cultural fit—being proactive, adaptable, and aligned with the company’s commitment to equitable leadership and innovation. Positioned in a matrixed Business Transformation Office, this role offers visibility and influence across departments, requiring a candidate who thrives in complex organizational ecosystems and prioritizes both individual excellence and enterprise-wide success. It is a growth and strategic role aimed at fostering continuous improvement and data-driven transformation aligned with RELX’s overarching goals of smarter, fairer, and more efficient decision-making worldwide.

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

• Tell me about a time when you had to translate complex data relationships into a dashboard that influenced key business decisions. What was your approach, and what was the outcome?
• Describe a situation where you identified a data quality issue impacting reporting accuracy. How did you discover it and what steps did you take to resolve it?
• Can you share an example of mentoring a junior analyst? What strategies did you use to ensure their successful development?
• How have you collaborated with cross-functional teams in a matrixed environment to align analytic insights with broader organizational objectives?
• Walk me through your process for designing a scalable Power BI dashboard. How do you prioritize features like drill-down capabilities, automation, and storytelling for diverse audiences?
• What are the key considerations when building data models and SQL views that must support robust analytics across multiple business units?
• Explain how you have used automation or deployment pipelines to improve efficiency and version control in data reporting.
• Imagine you uncover conflicting trends in key performance metrics from different data sources. How would you approach validating the data and recommending a path forward?
• How do you balance the need for technical rigor with the need to make your insights accessible to non-technical stakeholders, including executives?
• Given LexisNexis Risk Solutions’ focus on anti-money laundering and fraud mitigation, how would you ensure your analytics comply with relevant regulatory and data governance standards?
• What attracts you to working with LexisNexis Risk Solutions and RELX, especially considering their emphasis on societal impact and ethical data use?
• How do your personal values and working style align with a company culture that prioritizes diversity, inclusion, and continuous innovation?
• If hired, what steps would you take in your first 90 days to understand the business, improve existing dashboards, and build relationships across teams?
• Do you prefer working independently or as part of a cross-functional team, and how do you ensure productivity and communication in a remote, matrixed environment?
• What questions do you have about the Business Transformation Office’s priorities or how data science and BI integrate into LexisNexis Risk Solutions’ strategic goals?