# Commercial Analytics Consultant

> Weekday AI · India (Remote) · Full-time · Posted 2026-09-05

**Salary:** INR 1,000,000–2,500,000

**Workplace:** remote

**Department:** Weekday's Client via platform

## Description

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟬𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟬-𝟮𝟱 𝗟𝗣𝗔)

Experience: 2+ yrs

Location: Remote (India)

Job Type: Full-time

We are looking for an analytical and commercially minded **Commercial Analytics Analyst** to support business decision-making for a US oncology pharmaceutical brand. The role involves answering complex, open-ended business questions by analyzing multiple commercial data sources and translating insights into clear, actionable recommendations for non-technical stakeholders.

The ideal candidate will have strong expertise in **US pharma commercial data, SQL, Databricks, and business analytics**, along with the ability to independently investigate ambiguous questions, apply appropriate business rules, and communicate findings effectively.

## Requirements

### Key Responsibilities

-   Analyze complex and open-ended business questions from commercial stakeholders across Brand, Sales, Marketing, Market Access, and Medical functions.
-   Work with diverse US pharma datasets, including **claims, EMR/APLD, NRx/TRx, payer, CRM, and digital engagement data**.
-   Determine the appropriate data source, methodology, and business rules required to answer each analytical question.
-   Write, maintain, and optimize **SQL queries on Databricks** for large-scale datasets.
-   Use **Python** for analytical modelling, automation, and advanced data-processing requirements where appropriate.
-   Analyze commercial performance across HCPs, accounts, payers, channels, and other relevant dimensions.
-   Work with metrics such as **TRx, NRx, market share, line of therapy, and persistency**.
-   Validate data, investigate inconsistencies, and ensure analytical outputs are accurate and reliable.
-   Build upon existing analyses and connect current requests with historical findings to maintain consistency.
-   Form hypotheses, test them against available data, iterate on analysis, and independently arrive at meaningful conclusions.
-   Translate complex analytical findings into clear, actionable insights for non-technical stakeholders.
-   Prepare business-ready outputs and presentations using **Excel and PowerPoint**.
-   Support launch, pre-launch, and post-launch commercial analytics initiatives where required.
-   Collaborate with cross-functional stakeholders to understand business context and translate requirements into analytical solutions.
-   Maintain clear documentation of analytical approaches, business rules, methodologies, and outputs.

### What Makes You a Great Fit

-   **2+ years of hands-on experience** in US pharmaceutical commercial data analytics.
-   Strong experience working with **US pharma commercial datasets** and business questions.
-   Strong proficiency in **SQL**, with experience working on large datasets and writing queries regularly.
-   Hands-on experience with **Databricks** or a similar data analytics platform.
-   Solid understanding of the US pharmaceutical commercial ecosystem, including **HCPs, accounts, payers, channels, and commercial metrics**.
-   Strong understanding of **TRx, NRx, market share, line of therapy, and persistency**.
-   Experience working with claims, EMR/APLD, sales, payer, CRM, and digital engagement data.
-   Proven ability to work independently on ambiguous or ad hoc analytical requests.
-   Strong analytical thinking with the ability to formulate hypotheses, test assumptions, interpret results, and derive actionable insights.
-   Ability to understand data-source limitations and determine when a particular dataset can or cannot answer a business question.
-   Strong communication skills with the ability to present analytical findings to **non-technical commercial stakeholders**.
-   Proficiency in **Excel and PowerPoint** for business analysis and presentation.
-   Experience with **Python** for modelling or automation is an advantage.
-   Oncology experience, particularly **launch or pre/post-launch analytics**, is highly desirable.
-   Experience in digital channel, website engagement, or market access analytics is a plus.
-   Exposure to tools such as **Javelin, Tableau, Power BI, Alteryx, or KNIME** is advantageous.
-   Experience working in an ad hoc analytics or embedded commercial analytics model is preferred.
-   Ability to join **immediately or within 15 days** will be preferred.
-   Strong attention to detail, ownership, problem-solving ability, and commercial orientation.

## Apply

[Apply at Weekday AI](https://apply.workable.com/weekday-1/j/9BD02FD91D/apply)

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