This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Sales Analyst - IN in India (Remote - Karnataka).
This role sits at the heart of a modern Go-To-Market (GTM) analytics ecosystem, helping transform complex revenue and sales data into a unified, trusted source of truth. You will design and scale data models that power executive dashboards, self-service analytics, and advanced AI-driven insights. Working across Sales, Marketing, RevOps, Finance, and Data Engineering teams, you will play a key role in aligning business metrics and storytelling. The environment is highly collaborative, fast-paced, and deeply data-driven, with strong emphasis on scalability and automation. You will build production-grade data products in Snowflake and define semantic models that standardize how performance is measured across the organization. This is a high-impact role for someone who enjoys solving complex data problems and enabling strategic decision-making at scale.
Accountabilities
- Design, build, and maintain scalable Snowflake data models supporting GTM analytics, reporting, and AI/ML use cases.
- Develop robust dimensional models (facts and dimensions) with well-defined grain, relationships, and governance standards.
- Establish and maintain a centralized semantic/metrics layer ensuring consistent definitions of key GTM KPIs (pipeline, ARR, conversion, forecasting).
- Deliver consumption-ready datasets in collaboration with BI teams to enable accurate and efficient dashboarding in Tableau.
- Integrate and model data from core GTM systems such as Salesforce and Clari, ensuring reliability across revenue processes.
- Build AI-ready data foundations, including feature tables and reusable datasets for machine learning and Snowflake Cortex use cases.
- Use SQL, Python, and modern engineering practices (CI/CD, testing, Git workflows) to build scalable, production-ready data pipelines.
Requirements
- Strong hands-on expertise in Snowflake, including data modeling, performance tuning, and scalable architecture design.
- Production experience with dbt, including modular modeling, testing frameworks, and semantic/metrics layer development.
- Advanced SQL skills with the ability to debug, optimize, and transform complex datasets.
- Solid understanding of Salesforce data structures (opportunities, accounts, pipeline, lifecycle stages).
- Experience working with Clari or similar forecasting tools is highly desirable.
- Strong knowledge of Tableau and how data modeling impacts dashboard performance and usability.
- Proficiency in Python for data transformation and analytics (pandas, numpy, scikit-learn preferred).
- Experience or strong exposure to AI/ML concepts, including predictive modeling, segmentation, and forecasting.
- Familiarity with Snowflake Cortex, Snowpark, or other AI/LLM-enabled data platforms is a strong plus.
- Strong communication skills and ability to partner cross-functionally with technical and business stakeholders.
Benefits
- Competitive compensation with equity participation.
- Flexible paid time off, holidays, and volunteer days.
- Comprehensive private healthcare coverage for employees and family.
- Life insurance and personal accident insurance benefits.
- Fertility support and paid parental leave programs.
- Employee Assistance Program (EAP) for wellbeing support.
- Flexible remote-first working environment.
How Jobgether Works
We use an
AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
