Analytics Consultant – Commercial Analytics (Launch Excellence)

Commercial Analyst ? DDD & MMIT (US Pharma)

Experience: 3 to 5 Years Location: [Mention Location / Remote / Hybrid] Employment Type: [Full-time / Contract] Domain: US Pharmaceutical Commercial Analytics

Job Summary

We are seeking a Commercial Analyst with strong experience in US pharmaceutical commercial analytics, specifically in Drug Distribution Data (DDD) and MMIT (Managed Markets Insight & Technology) datasets. The ideal candidate should possess strong SQL and data analysis skills and be capable of delivering actionable insights related to payer access, formulary coverage, distribution performance, and commercial effectiveness for pharmaceutical brands.

Key Responsibilities

• Analyze and interpret DDD (Drug Distribution Data) to assess product distribution trends, channel performance, inventory movement, and shipment patterns.

• Work extensively with MMIT data to evaluate formulary coverage, payer access, restrictions, covered lives, and reimbursement insights.

• Develop and maintain SQL-based analytical datasets, reports, and dashboards for commercial and market access stakeholders.

• Perform data validation, reconciliation, and quality checks across multiple pharmaceutical data sources.

• Generate insights on payer dynamics, formulary changes, access barriers, and distribution performance.

• Support ad-hoc analyses for brand teams, market access teams, and commercial leadership.

• Collaborate with business stakeholders to understand analytical requirements and translate them into scalable reporting solutions.

• Prepare presentations and insight summaries for internal and external stakeholders.

• Contribute to process improvements, automation, and standardization of recurring analytics.

Mandatory Skills & Experience

• 3?5 years of experience in US Pharma Commercial Analytics.

• Hands-on experience with DDD (Drug Distribution Data).

• Hands-on experience with MMIT (Managed Markets Insight & Technology) datasets.

• Strong proficiency in SQL (joins, aggregations, subqueries, CTEs, window functions, data validation).

• Experience working with large pharmaceutical commercial datasets.

• Good understanding of payer, formulary, reimbursement, and market access concepts.

• Strong analytical and problem-solving skills.

Preferred Skills

• Exposure to IQVIA commercial datasets.

• Experience with Excel, Power BI, Tableau, or other visualization tools.

• Basic knowledge of Python for data analysis or automation.

• Understanding of specialty pharma or oncology market access analytics.

Domain Knowledge

The candidate should have a good understanding of:

• Managed care and payer landscape in the US

• Formulary status and coverage

• Prior authorization (PA), step therapy (ST), quantity limits (QL)

• Covered lives analysis

• Channel and distribution analytics

• Commercial performance measurement

Soft Skills

• Excellent verbal and written communication

• Strong stakeholder management

• Ability to work with cross-functional teams

• Attention to detail and data accuracy

• Ability to manage multiple priorities in a fast-paced environment

Tools & Technologies

• SQL (Mandatory)

• MMIT

• DDD

• Excel

• Power BI / Tableau (Preferred)

• Python (Nice to have)

Ideal Candidate Profile

A successful candidate will have prior experience supporting US pharmaceutical brands through payer access and distribution analytics, with the ability to independently query data, identify trends, validate results, and communicate business insights effectively to commercial stakeholders.