Senior Data Analyst

🔥 36 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

LexisNexis

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1970

⚖️ Legal

💼 Consulting

🏥 Healthcare

💰 Corporate Round on 2021-06

Legal • Consulting • Healthcare

LexisNexis is a provider of professional solutions tailored for law firms, corporations, government agencies, and academic institutions. It offers legal solutions, news, and business insights. LexisNexis also provides risk solutions for companies and government agencies, focusing on data analytics for compliance, customer acquisition, fraud detection, health outcomes, identity solutions, investigations, receivables management, risk decisioning, and workflow optimization. As part of the RELX Group, LexisNexis is committed to enhancing digital experience through data and analytics.

📋 Description

• Partner with stakeholders to understand business needs and identify the most relevant analyses, KPIs, and success measures • Support stakeholders in setting appropriate goals and defining measurable outcomes aligned to business objectives • Prepare and transform data using advanced blending, refinement, and quality techniques (including large/complex datasets) • Apply statistical methods and intermediate data models/scenarios to evaluate trends, drivers, and potential outcomes • Create clear, compelling data visualizations and narratives tailored to the target audience • Lead and execute analytics projects independently, including scoping, planning, and managing deliverables to deadlines • Serve as a subject matter expert within an assigned domain and coach/mentor junior team members • Develop working knowledge of adjacent disciplines and how they influence analytics needs and interpretation • Leverage approved AI tools to accelerate analysis and deliverables while maintaining accountability for accuracy and quality • Develop data products that meet data consumers where they are in their data literacy journey

🎯 Requirements

• Ability to understand complex data structures and apply advanced data preparation, blending, refinement, and quality techniques (including big data) • Experience applying intermediate statistics to business problems • Significant experience leveraging SQL and Python for data querying, collection, transformation, and analysis • Experience with data visualization tools such as Tableau and/or Power BI; ability to design dashboards and narratives for business audiences • Familiarity with advanced analytics/data platforms (e.g., Databricks or equivalent) • Strong project execution skills • Ability to craft effective prompts, iterate toward higher-quality outputs, and incorporate domain context and constraints • Experience in analytics, reporting, or data science-adjacent roles

🏖️ Benefits

• Wellbeing initiatives • Shared parental leave • Study assistance • Sabbaticals