Data & Analytics Specialist - Healthcare Analytics

Data & Analytics Specialist - Healthcare Analytics

L.E.K. Consulting is seeking a Data & Analytics Specialist to execute and deliver Real World Data (RWD) products and solutions, supporting the Life Sciences and Healthcare sectors with high-quality, insight-driven analytics. This role bridges strategy consulting, analytics, and technology, working on challenging problems like identifying patient populations and mapping patient journeys using large-scale healthcare datasets.

About L.E.K. Consulting

L.E.K. Consulting is a premier global strategy consulting firm, renowned for delivering breakthrough insights that drive real impact for clients. Founded in 1983, L.E.K. employs over 2,200 professionals across five continents, fostering a culture of ownership, inclusion, and continuous learning. The firm is consistently recognized as one of the industry's best places to work. For more information, visit lek.com.

About The Role

As a Data & Analytics Specialist - Healthcare Analytics, you will be integral to L.E.K.'s growing Data & Analytics (D&A) team, collaborating with the Life Sciences and Healthcare sectors. This high-impact position involves designing and executing cutting-edge RWD analytics, identifying undiagnosed patient populations, mapping complex care pathways, and quantifying healthcare utilization. You will also build and apply predictive and machine learning models for segmentation, forecasting, and scenario analysis, transforming complex real-world data into robust insights that inform strategic decisions.

About The RWD Group

The Real-World Data (RWD) team at L.E.K. translates intricate healthcare datasets into rigorous, decision-ready evidence. The team designs and executes a broad range of analytics using real-world data (e.g., claims, electronic health records, registries) to inform strategic and operational decisions across the healthcare ecosystem, applying epidemiology, biostatistics, and causal inference methods. Team members manage projects end-to-end, from study design and data engineering through analysis, interpretation, and clear communication of insights to senior client stakeholders.

Key Responsibilities

Analytical Execution & Delivery (70% of time)

• Serve as the primary execution lead for RWD analyses in client engagements across healthcare and life sciences sectors, spanning methodology design, data preparation, analysis, and interpretation.
• Act as Subject Matter Expert (SME) across common RWD use cases such as market sizing, patient journey analysis, health outcomes research, and descriptive and predictive analytics.
• Translate client questions and problem statements into clear analytical approaches, assumptions, and outputs.
• Produce client-ready outputs, including tables, exhibits, and written interpretations that clearly communicate analytical findings.
• Ensure analytical work meets the highest quality standards, including reproducibility, documentation, and methodological soundness.

Project Support & Integration (15% of time)

• Contribute to analytical discussions with clients and consulting teams, including walkthroughs of methodology, assumptions, limitations, and interpretation of findings.
• Participate in proposals and client development efforts through analytical input, sample outputs, and methodological descriptions.
• Support scoping and planning of RWD analytics workstreams by estimating effort, defining data requirements, and identifying methodological considerations.
• Act as a day-to-day analytical point of contact for assigned projects, coordinating inputs and timelines with consulting teams.

Healthcare Analytics Enablement (15% of time)

• Educate other RWD or consulting colleagues on how to leverage healthcare data products via training sessions, emails, and 1–1 meetings as needed.
• Collaborate with and provide day-to-day guidance and technical support to rotational and offshore analysts, e.g., by reviewing analytical work, offering feedback to improve quality, efficiency, and analytical reasoning.
• Proactively identify analytical risks, tradeoffs, and scope creep, and recommend mitigation options to the Product Manager of Healthcare Analytics.
• Embed modern analytics methods (e.g., predictive modeling and other machine learning techniques) to enhance product capabilities.
• Directly contribute to the development of new playbooks and tools based on project experience and lessons learned to support repeatability across projects.

Experience & Skills

• 2-4 years of experience in analytics or consulting, with significant exposure to real-world data and healthcare/life sciences use cases.
• Proficiency with tools and programming languages such as SQL, Python, R, modern data platforms (Snowflake, Databricks, AWS/Azure), and core machine learning skills (including generative AI and agentic workflows).
• Demonstrated ability to design, execute, and scale repeatable healthcare data analyses or analytical workflows across multiple projects or use cases.
• Ability to translate ambiguous business questions into structured analytical approaches, clear assumptions, and actionable outputs.
• Strong communication and collaboration skills, with experience working closely with consulting teams and presenting analytical findings to senior client stakeholders.
• Prior consulting experience in healthcare or life sciences, or direct experience working with real-world healthcare data, strongly preferred.
• Familiarity with common RWD sources (claims, EHR, registries) and healthcare coding standards (ICD, HCPCS, NDC, SNOMED, LOINC, etc.) is a plus.

Education

Bachelor’s or Master’s degree in a relevant field such as Public Health, Life Sciences, Data Science, Biostatistics, Engineering, or Business.

Why Join L.E.K. Consulting?

• Drive the growth of a rapidly expanding data-driven capability in a top-tier strategy consulting firm.
• Collaborate with C-suite clients and life sciences innovators to deliver market-shaping insights.
• Be a leader in L.E.K.’s evolving healthcare analytics and D&A solutions strategy.
• Join a supportive, entrepreneurial, and intellectually curious team with access to cutting-edge tools and professional development.

Key skills/competency

• Healthcare Analytics
• Real-World Data (RWD)
• SQL
• Python
• R
• Machine Learning
• Predictive Modeling
• Data Platforms (Snowflake, Databricks, AWS/Azure)
• Patient Journey Analysis
• Strategic Consulting