Duration: 9–12 months
Start: Mid‑October
Industry: Life Sciences / Pharma
A major data integration initiative is underway to incorporate a recently acquired company into an existing enterprise data ecosystem. We are looking for someone to serve as a core Business Analyst (AD level) who can connect multiple workstreams, drive clarity, and support all phases of the integration effort. The ideal candidate brings strong life sciences experience, deep data strategy expertise, and a solid understanding of pharma commercial analytics.
ResponsibilitiesSupport all aspects of a large‑scale data integration program.
Develop a strong understanding of data sources, business processes, and analytics workflows.
Lead requirements gathering, documentation, and cross‑functional alignment.
Partner with technical teams on data mapping, harmonization, and integration design.
Identify risks, gaps, and dependencies across workstreams.
Support testing, validation, and downstream reporting impacts.
Provide clear communication and updates across stakeholders.
8+ years in life sciences, with experience in data strategy or commercial analytics.
Strong knowledge of pharma commercial datasets (sales, claims, CRM/Veeva, SP/HUB, payer, etc.).
Experience with large‑scale data integrations or migrations.
Ability to translate business needs into structured technical requirements.
Strong communication and stakeholder‑management skills.
Consulting experience preferred.
Background in data governance or enterprise data architecture.
Experience with cloud data platforms (Snowflake, Databricks, AWS, Azure).
Ability to manage multiple workstreams in fast‑moving environments.
Skills Required
- 8+ years of experience in life sciences, including data strategy or commercial analytics
- Strong knowledge of pharma commercial datasets, including sales, claims, CRM/Veeva, SP/HUB, and payer data
- Experience with large-scale data integrations or migrations
- Ability to translate business needs into structured technical requirements
- Strong communication and stakeholder-management skills
- Consulting experience
- Background in data governance or enterprise data architecture
- Experience with cloud data platforms such as Snowflake, Databricks, AWS, or Azure
- Ability to manage multiple workstreams in fast-moving environments
What We Do
You can rely on KMK to turn complex data into actionable insights to help drive real-world business decisions and improve the efficiency and effectiveness of your commercial analytics and sales operations. We have been assisting clients in the pharmaceutical industry do just that since our inception in 2000. Now with more than 120 full-time employees spanning the globe, we can provide analytical support as a project, SaaS or on-site. Our highly experienced, creative teams will work with you to eliminate the complexities of your commercialization efforts and offer sound analysis to aid your decisions. Eschewing a “one-size-fits-all” approach, we will listen to your needs and customize an approach integrating all of these areas to best meet your organization’s requirements: Advanced Analytics Market Research Health Economics & Outcomes Research (HEOR) Sales Force Effectiveness Planning and Analysis Data Services
