Data Analyst responsible for maintaining data integrity standards in clinical trials at IQVIA. Collaborating with teams to resolve data issues and ensure compliance with regulatory requirements.
About the role
- Data Analyst leading high-complexity analytics projects at LexisNexis to support data-driven decisions. Partnering with stakeholders to provide insights and mentoring junior analysts.
Responsibilities
- Consults with internal stakeholders to clarify business problems, gather requirements, and collect, analyze, and interpret data to support data-driven decisions.
- Develops advanced insights and recommendations within their domain.
- Uses analytics tools to curate data, build models, create visualizations, and communicate findings to business audiences.
- Independently leads high-complexity analytics projects and mentors junior analysts.
- Partners with stakeholders to understand business needs and identify the most relevant analyses, KPIs, and success measures.
- Supports stakeholders in setting appropriate goals and defining measurable outcomes aligned to business objectives.
- Prepares and transforms data using advanced blending, refinement, and quality techniques (including large/complex datasets).
- Applies statistical methods and intermediate data models/scenarios to evaluate trends, drivers, and potential outcomes.
- Creates clear, compelling data visualizations and narratives tailored to the target audience.
- Leads and executes analytics projects independently, including scoping, planning, and managing deliverables to deadlines.
- Serves as a subject matter expert within an assigned domain and coaches/mentors junior team members.
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.
Benefits
- Work in a way that works for you: We promote a healthy work/life balance across the organization.
- Numerous wellbeing initiatives.
- Shared parental leave.
- Study assistance.
- Sabbaticals.
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