Sales Commission Analyst, Hyderabad (Contractor) at Schrödinger

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Pharmaceuticals, SoftwareIndustries

Requirements

1–2 years of experience in commissions, order processing, sales operations, or related role managing large data sets for accuracy—preferably in a software or SaaS company
Strong attention to detail, excellent organizational skills, and a passion for resolving issues efficiently
High proficiency in Excel or Google Sheets; familiarity with Salesforce and commission tools (e.g., Xactly, CaptivateIQ, Spiff) is a plus
Clear communication skills and a service-oriented approach to internal support
A process-driven mindset with a commitment to accuracy and continuous improvement
Ability to operate on the US West Coast shift
Based in Hyderabad

Responsibilities

Accurately calculate monthly and quarterly commission amounts based on sales data, adhering to agreed-upon deadlines
Create and maintain detailed reports on commission earnings and payouts, tracking exceptions and documenting processes
Maintain and improve the monthly data validation process
Investigate and resolve discrepancies with swift resolution and proactive communication
Respond to inquiries from sales reps and management with professionalism and a problem-solving mindset
Ensure data integrity across Salesforce, NetSuite, any commission platforms, and reporting tools to support internal controls
Collaborate with the Accounting team during the monthly close to support accruals and variance analysis
Identify recurring issues and recommend process improvements to ensure and enhance accurate recordkeeping and responsiveness
Support the Compensation and FP&A teams with incentive and policy modeling by effectively managing large data sets
Additional duties as assigned

Skills

Salesforce

NetSuite

Excel

Data Validation

Commission Calculation

Sales Operations

Financial Reporting

Process Improvement

Variance Analysis

Data Integrity

Schrödinger

Computational platform for biopharmaceutical research

About Schrödinger

Schrödinger provides a computational platform that aids in the research efforts of biopharmaceutical companies, academic institutions, and government laboratories around the world. Their platform offers advanced computational tools that help in drug discovery and development across various therapeutic areas. Schrödinger's products work by using sophisticated algorithms and simulations to predict how different compounds will interact, which can significantly speed up the research process. Unlike many competitors, Schrödinger not only licenses its software but also engages in collaborative research and drug discovery programs, allowing for a more integrated approach to scientific research. The company's goal is to enhance scientific research and development through its platform, ultimately leading to the discovery of new drugs and therapies.

New York City, New YorkHeadquarters

1990Year Founded

$362.7MTotal Funding

IPOCompany Stage

Government & Public Sector, Enterprise Software, BiotechnologyIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

401(k) Retirement Plan

Flexible Work Hours

Remote Work Options

Paid Vacation

Parental Leave

Risks

Recursion and Exscientia merger creates strong AI-driven drug discovery competitor.

Avicenna's independent expansion could lead to competitive tensions with Schrödinger.

High R&D costs may strain resources despite Gates Foundation's $10M grant.

Differentiation

Schrödinger's platform supports diverse clients, including biopharma, academia, and government labs.

The company excels in rapid drug discovery, exemplified by SGR-1505's swift development.

Schrödinger's collaboration with Avicenna enhances medicinal chemistry through machine learning.

Upsides

$19.5M Gates Foundation grant boosts platform for neglected diseases, expanding market reach.

Predictive toxicology tools initiative could lead to safer, efficient drug development.

SGR-1505 discovery showcases ability to reduce drug discovery timelines significantly.

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