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Senior Data Analyst II

JOB DESCRIPTION:

  • Specialized business support through in-depth data analysis and research. Independently design queries to assess data for research purposes. Independently run complex data statistics. Run data profiles. Support business or other data engineering teams with data subject matter expertise. Design, complete, and present new data evaluations to diverse audiences. Create data documentation including mappings and quality thresholds. Investigate, track, and report data issues. Good level of intimacy within a specific data content area. Conducts routine data review and verification and ensures corrections/clarifications are made in a timely manner. Undertake and complete new data onboarding and/or production data management functions as assigned/required. Utilize various data workflow management and analysis tools. Resolve and/or guide data sources in resolving moderate data issues within specific functional area or data type. Assist with production of detailed information, requirements, and/or instruction to internal resources regarding, but not limited to: data analysis, data correction, data questions, and new data projects. Produce moderate ad hoc data counts, stats, and examples as required. Mentor less senior data engineers on methodologies and optimization techniques. Perform other duties as needed.

REQUIREMENTS:

  • Master’s degree (or foreign equivalent) in Computer Science, Software Engineering, Information Systems, or a related field required.
  • 5 years of experience in job offered or related occupations required.
  • Also required is:
    • 3 years of experience in: Preparing data for modeling using ETL, exploratory data analysis, reporting, and QA; Developing best practices for data coding to ensure consistency within the system, reduce data redundancy, streamline data movements, and improve enterprise information management.
    • 2 years of experience: developing code using Python, test, and update applications; Developing metrics to measure various characteristics of the business.
  • Employee reports to LexisNexis Risk Solutions, Inc. office in Boca Raton, FL, but may telecommute from any location within the U.S.
  • Experience can be concurrent.

#LI-DNI

#ICT

LexisNexis, a division of RELX, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

Please read our Candidate Privacy Policy.

Average salary estimate

$115000 / YEARLY (est.)
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$100000K
$130000K

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What You Should Know About Senior Data Analyst II, RELX

Are you ready to take your career to the next level? LexisNexis Risk Solutions, Inc. is looking for a Senior Data Analyst II to join our dynamic team in sunny Boca Raton, FL! In this role, you will play a vital part in driving business decisions through specialized support and in-depth data analysis. You'll independently design queries, run complex statistics, and create data profiles that highlight key insights for various audiences. Collaboration is key, as you will work closely with other data engineering teams, bringing your expert knowledge to the table. Your excitement for data will shine as you design and present evaluations, and you will have the opportunity to mentor less experienced data engineers, fostering a culture of learning and innovation. With a focus on quality, you will investigate and report data issues while ensuring that corrections are made promptly. Utilizing various data tools, you will enhance our data management practices and drive consistency within the system. This is more than a job; it’s a chance to impact how data shapes our business processes. If you possess a Master’s degree in a related field and have substantial experience in data analysis, including skills in Python and data modeling, we encourage you to apply and contribute to our success at LexisNexis!

Frequently Asked Questions (FAQs) for Senior Data Analyst II Role at RELX
What are the primary responsibilities of a Senior Data Analyst II at LexisNexis?

As a Senior Data Analyst II at LexisNexis, your primary responsibilities include designing queries for data analysis, running complex statistics, and creating data profiles. You will support data engineering teams with your expertise, mentor junior analysts, investigate data issues, and ensure timely corrections. Your role also includes conducting data evaluations and producing ad hoc reports to aid in business decisions.

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What qualifications are required for the Senior Data Analyst II position at LexisNexis?

To qualify for the Senior Data Analyst II role at LexisNexis, candidates must hold a Master's degree in Computer Science, Software Engineering, Information Systems, or a related field. Additionally, 5 years of relevant experience is required, with at least 3 years in ETL processes, exploratory data analysis, and 2 years in Python development. Experience can be concurrent, providing a well-rounded background in data analysis.

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What tools and technologies are essential for a Senior Data Analyst II at LexisNexis?

Senior Data Analysts II at LexisNexis are expected to utilize various data workflow management and analysis tools. Familiarity with programming languages, particularly Python, is crucial, as you will develop metrics and best practices for data management. Knowing ETL processes and having experience in reporting and QA will set you up for success in this role.

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How does LexisNexis support professional development for Senior Data Analyst II?

At LexisNexis, we believe in continuous learning and professional growth. As a Senior Data Analyst II, you will have opportunities to mentor less senior data engineers, participate in advanced training sessions, and engage with industry conferences. This role is designed to help you advance your career while contributing to the team's success.

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Can Senior Data Analyst II employees telecommute at LexisNexis?

Yes! The Senior Data Analyst II position at LexisNexis allows flexibility, as employees can telecommute from any location within the United States. This flexible working arrangement helps achieve a better work-life balance while ensuring you are part of a dynamic team that values your contributions.

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Common Interview Questions for Senior Data Analyst II
What experience do you have with ETL processes as a Senior Data Analyst II?

Highlight specific ETL tools you have used and describe projects where you prepared data for modeling. Emphasize your ability to streamline processes and improve data consistency.

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Can you explain how you handle data quality issues?

Discuss your approach to investigating data quality issues, how you track and report them, and the measures you take to ensure timely corrections while maintaining data integrity.

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How do you prioritize your work when handling multiple data projects?

Share your methods for prioritization, such as using project management tools, scheduling, and communication with team members to ensure deadlines are met efficiently.

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Describe a time you mentored a less experienced team member.

Provide an example where you guided a junior analyst, detailing the challenges you both faced and the outcomes that resulted from your mentorship. This demonstrates your leadership abilities.

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What methods do you use for exploratory data analysis?

Talk about any specific statistical tools or software you utilize for exploratory analysis. Illustrate how you interpret data patterns or anomalies and communicate findings to stakeholders.

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How familiar are you with Python and its application in data analysis?

Explain your experience with Python, discussing projects where you've employed it for data manipulation, analysis, and reporting, showcasing your coding abilities and data insights.

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What role does documentation play in your data analysis process?

Discuss the importance of maintaining thorough documentation for data mapping, quality thresholds, and methodologies, and how it aids communication and compliance within projects.

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Can you give an example of a data issue you encountered and how you resolved it?

Share a specific situation where you faced a data issue, outlining your methodical approach to identify, track, and resolve the problem. This shows your problem-solving and analytical skills.

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How do you stay current with industry trends in data analytics?

Discuss resources you follow, such as blogs, research papers, or webinars, as well as participation in relevant conferences to ensure you are informed about the latest developments in data analysis.

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What metrics do you think are essential for measuring business performance?

Provide examples of key performance indicators (KPIs) you've developed or used, explaining their relevance to business objectives, and how they guide data-driven decisions.

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Our number one strategic priority continues to be the organic development of increasingly sophisticated information-based analytics and decision tools that deliver enhanced value to professional and business customers across the industries that we...

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Full-time, hybrid
DATE POSTED
March 27, 2025

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