Sr. Data Analyst I
About the Role
The Sr. Data Analyst I consults with internal stakeholders to clarify business problems, gather requirements, and collect, analyze, and interpret data to support data-driven decisions. This role develops advanced insights and recommendations within their domain and uses analytics tools to curate data, build models, create visualizations, and communicate findings to business audiences. The Sr. Data Analyst I independently leads high-complexity analytics projects and mentors junior analysts.
Accountabilities
- 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 (e.g., drafting analyses, summarizing findings, generating code/queries, documenting work) while maintaining accountability for accuracy and quality.
Develops data products that meets the data consumer where they are in their data literacy journey (e.g. chatbot/genie for metrics questions, reusable dashboards).
Requirements
Bachelor’s or Master’s degree in Data Analytics, Data Science, Mathematics, or a related field; or equivalent practical experience.
3-5 years of relevant experience in analytics, reporting, or data science-adjacent roles.
Strong 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: able to structure work into modular tasks, manage multiple projects in parallel, communicate progress, and resolve blockers.
Ability to craft effective prompts, iterate toward higher-quality outputs, and incorporate domain context and constraints.{Empty}
Work in a way that works for you:
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
About the business:
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.


U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates.

If performed in Illinois, the base pay range is $82,800 - $137,800.If performed in Chicago, IL, the base pay range is $86,700 - $144,400.If performed in Ohio, the base pay range is $74,900 - $124,700.

This job is eligible for an annual incentive bonus.





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