Senior Associate, Commercial Analytics (SFE)

As a Senior Associate in the Sales Force Effectiveness function at KMK, a global data analytics and technology consulting company specializing in empowering leaders across Life Sciences industries, your role will involve leveraging data analytics and software platforms to support various operations such as data science, real-world evidence, and cloud information management. You will play a key role in optimizing business strategy and operations by delivering cutting-edge analytics from diverse data sources, coupled with deep technical and domain expertise. Your contributions will enable commercial excellence by providing analytical guidance through a cloud-based sales planning and operations platform. KMK is a growing organization with a global presence, consisting of more than 220 employees, and serving several top global Life Sciences companies. Key Responsibilities: - Utilize hands-on experience in US pharma commercial analytics and Sales Force Effectiveness (SFE) to deliver HCP/HCO targeting and universe sizing outputs in the US pharmaceutical market. - Work with various datasets such as Xponent, claims data, DDD, specialty pharmacy, and others to provide analytical support to field-facing commercial teams. - Demonstrate proficiency in SQL for executing complex queries, including joins, aggregations, window functions, and CTEs. - Utilize advanced Excel skills for ad-hoc analysis and creating stakeholder-facing outputs. - Have a good-to-have skill set in Python for data processing using pandas and numpy, with exposure to scikit-learn. - Apply domain knowledge by understanding the US pharmaceutical commercial ecosystem, therapeutic areas, treatment pathways, and prescribing dynamics in fields like Oncology, Immunology, Cardiovascular, Neurology, Rare Disease, or Primary Care. - Employ effective communication skills to present findings to brand teams, field leadership, and senior stakeholders. - Manage and prioritize multiple deliverables in a fast-paced and dynamic environment. Qualifications Required: - 2.5+ years of experience in US pharma commercial analytics, SFE, or related functions is mandatory. - Demonstrated experience working with datasets such as Xponent, claims data, and specialty pharmacy. - Proficiency in SQL and advanced Excel skills are a must, while knowledge of Python is considered a good-to-have skill. - Strong domain knowledge of the US pharmaceutical commercial ecosystem and therapeutic areas is essential. - Effective communication skills and the ability to manage multiple deliverables are required for this role. At KMK, you will have the opportunity to work with a diverse team of professionals and contribute to the success of top global Life Sciences companies through your expertise in data analytics and Sales Force Effectiveness. As a Senior Associate in the Sales Force Effectiveness function at KMK, a global data analytics and technology consulting company specializing in empowering leaders across Life Sciences industries, your role will involve leveraging data analytics and software platforms to support various operations such as data science, real-world evidence, and cloud information management. You will play a key role in optimizing business strategy and operations by delivering cutting-edge analytics from diverse data sources, coupled with deep technical and domain expertise. Your contributions will enable commercial excellence by providing analytical guidance through a cloud-based sales planning and operations platform. KMK is a growing organization with a global presence, consisting of more than 220 employees, and serving several top global Life Sciences companies. Key Responsibilities: - Utilize hands-on experience in US pharma commercial analytics and Sales Force Effectiveness (SFE) to deliver HCP/HCO targeting and universe sizing outputs in the US pharmaceutical market. - Work with various datasets such as Xponent, claims data, DDD, specialty pharmacy, and others to provide analytical support to field-facing commercial teams. - Demonstrate proficiency in SQL for executing complex queries, including joins, aggregations, window functions, and CTEs. - Utilize advanced Excel skills for ad-hoc analysis and creating stakeholder-facing outputs. - Have a good-to-have skill set in Python for data processing using pandas and numpy, with exposure to scikit-learn. - Apply domain knowledge by understanding the US pharmaceutical commercial ecosystem, therapeutic areas, treatment pathways, and prescribing dynamics in fields like Oncology, Immunology, Cardiovascular, Neurology, Rare Disease, or Primary Care. - Employ effective communication skills to present findings to brand teams, field leadership, and senior stakeholders. - Manage and prioritize multiple deliverables in a fast-paced and dynamic environment. Qualifications Required: - 2.5+ years of experience in US pharma commercial analytics, SFE, or related functions is mandatory. - Demonstrated experience working with datasets