About Our Team

Our Data & Analytics team focuses on designing, building, and optimizing data warehousing and data lake solutions that power a range of analytics activities—including sales, finance, operations, and more. By gathering and analyzing data from diverse enterprise systems and operational sources, we aim to identify trends, improve operational efficiency, and derive insights that drive strategic decision-making. Our goal is to equip stakeholders with timely, accurate, and actionable information to navigate complex market dynamics and maintain a competitive edge. Through ongoing monitoring and refinement of key business metrics, we play a critical role in shaping the company’s data strategy, optimizing business outcomes, and driving overall success.

About the Role

As a Data Analyst II, your primary objective is to turn raw data into insights that help guide business decisions. You will leverage SQL, Python, and Tableau to develop and maintain data-driven dashboards, automate key reporting processes, and conduct in-depth analyses that inform sales, finance, operations, and product strategies. While you will work closely with data engineers to ensure smooth data flows—potentially within AWS Redshift, Databricks, or other cloud environments—your focus will be on interpreting data, identifying trends, and translating these findings into actionable recommendations. This role demands strong analytical skills, effective communication, and a proactive approach to continuous improvement within the data analytics function.

ResponsibilitiesData Analysis & ReportingDevelop advanced SQL queries to combine and analyze data from Salesforce, financial systems, operational logs, and other sources.Design and maintain Tableau dashboards, providing clear visual insights for cross-functional stakeholders.Use Python for data wrangling, automation, and deeper statistical analyses when necessary.Collaboration & Stakeholder EngagementWork closely with sales, finance, operations, and product teams to gather requirements and deliver targeted analytics solutions.Present findings and recommendations in a clear, concise manner to both technical and non-technical audiences.Collaborate with data engineering teams to troubleshoot data quality issues and optimize data pipelines.Data Integrity & Process OptimizationEnsure data accuracy and consistency across various reporting platforms, investigating discrepancies and proposing solutions.Continuously refine data models and analytical frameworks to support business growth and evolving needs.Maintain comprehensive documentation of analytics processes, methodologies, and dashboards for future reference.Continuous Improvement & InnovationStay updated on industry best practices, emerging technologies, and new analytical tools.Identify opportunities for workflow automation, new data sources, and advanced analytical techniques to enhance overall efficiency.Support the data management team in both day-to-day operations and larger strategic initiatives.RequirementsProficiency in SQL for complex querying, data manipulation, and performance optimization.Advanced Tableau skills for creating user-friendly dashboards and visualizations.Working knowledge of Python, especially for data analysis (e.g., Pandas) and scripting.Familiarity with AWS services (e.g., S3, Redshift) or Databricks is a plus.Solid understanding of data modeling and ETL concepts.Ability to communicate insights effectively to both technical and non-technical stakeholders.Experience with Agile methodologies and collaborative tools is beneficial.QualificationsMinimum of 2 years of experience in data analytics or a closely related field.Proven track record of developing impactful dashboards and data solutions in Tableau.Strong SQL skills, with exposure to large datasets and complex joins/aggregations.Python programming experience for scripting, automation, or advanced analytics.Bachelor’s degree in a relevant field (e.g., Computer Science, Data Analytics), or equivalent practical experience.Demonstrated ability to work in cross-functional teams and translate data insights into strategic recommendations.About Us

RELX is a global provider of information-based analytics and decision tools for professional and business customers. We help scientists make new discoveries, doctors and nurses improve patient outcomes, lawyers win cases, and we prevent online fraud and money laundering. We also help insurance companies evaluate and predict risk, and our events connect customers to learn about markets, source products, and complete transactions. In short, we enable our customers to make better decisions, get better results, and be more productive. RELX serves customers in more than 180 countries and has offices in about 40 countries, employing over 33,000 people—around one quarter of whom are technologists.

We want RELX to be a great place to work, where employees feel valued, have equal opportunities, and benefit from pay equality—regardless of gender, gender identity, national origin, race, ethnicity, religion, sexual orientation, age, or disability. Inclusion and diversity are crucial for our future, and we strive to foster innovation by engaging talent from a wide range of backgrounds, experiences, and ideas.

About LexisNexis

We help lawyers win cases, manage their work more efficiently, serve clients better, and grow their practices. We assist corporations in better understanding their markets and monitoring relevant news. We partner with leading global associations and customers to advance the Rule of Law around the world.

Every day at LexisNexis, you will work with highly creative minds to explore new frontiers, inspire innovation, and transform how 21st-century legal content is produced, disseminated, and utilized. You have the power to empower those in need and truly make a difference to the lives of people worldwide.

Apply today to join our data-driven team and help shape the future of analytics across sales, finance, operations, and more!

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