The Senior Data Analyst will drive data insights, automation, and strategic recommendations across Coupa's ecosystem using various technologies to improve customer success and operational efficiency.
Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.
Why join Coupa?
🔹 Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
🔹 Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
🔹 Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.
Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.
The Impact of the “India Senior Analyst” to Coupa:
The Senior Analyst of VEC team will play a key role in driving data-driven insights, automation and strategic recommendations that support customer success, sales, and value realization initiatives across Coupa’s global ecosystem. The role requires a blend of analytical excellence, business acumen, and consultative storytelling using tools like Python, SQL, Javascript, Pyspark, Tableau, PowerBI and Github to deliver quality analytics & influence decision-making at all levels. This individual will partner with cross-functional stakeholders across Sales, Pre-Sales, Customer Success, and Value Advisory to identify growth opportunities, operational improvements, and customer value outcomes.
What you will do:
- A. Analytics & Automation: 1. Develop and maintain robust data pipelines using Python, SQL, Pyspark. 2. Leverage Github version control, code management, and collaboration tools across global projects. 3. Automate recurring reporting and analysis processes to improve team bandwidth and efficiency. 4. Design, build, and automate dashboards and analytical models in Tableau / Power BI to track KPIs across customer lifecycle, spend, and adoption metrics. 5. Leverage ML techniques for predictive analytics, anomaly detection and automation . 6. Work with AI/ML libraries like Tensorflow or Pytorch to prototype models. Train, tune, and evaluate a variety of models (linear models, decision trees, XG boosting, etc)
- B. Strategic Insights & Value Storytelling: 1. Partner with Sales, Value Advisory and Customer Success teams to quantify business impact through benchmarks, value analytics, ROI models. 2. Conduct diagnostic and predictive analysis on customer spend patterns, supplier efficiency, sourcing optimization to highlight actional improvement opportunities. 3. Translate analytical findings into executive ready insights that support strategic business decisions
- C. Process Excellence & collaboration: 1. Establish standardized frameworks , reusable code repositories and data documentation to ensure scalability and consistency. 2. Collaborate with cross functional teams to identify data gaps, quality and align key business metrics 3. Contribute to internal knowledge bases and promote data driven best practice across global regions.
- D. Mentorship & Continuous Improvement 1. Mentor junior analysts in SQL, Python and business storytelling. 2. Drive adoption of modern data practices (e.g. Github versioning, code reviews, data automation) 3. Participate in global syncs and contribute to innovation initiatives across the analytics function 4. Proactively maintain project trackers and JIRA tasks for the team
- E. Web & Application Development 1. Design, develop and maintain web based analytics tools and dashboards using Java, Reactjs and Nodejs 2. Build APIs and integrate with back end data with front end visualization layers for seamless user experiences 3. Use github for code versioning, collaboration and deployment
What you will bring to Coupa:
- 4–6 years of experience in data analytics, business intelligence, or strategy roles (preferably in SaaS, consulting, or procurement domains).
- Technical Skills: Strong proficiency in Python, SQL, Java and at least one visualization tool (Tableau, Sigma, Power BI). Working knowledge of Excel, dashboarding, and data modeling best practices.
- Experience with Github for code collaboration and version control.
- Proven experience in building business cases with powerpoint/Gslides, dashboards, or ROI models tied to Source-to-Pay (S2P) or Procure-to-Pay (P2P) processes.
- Business Acumen: Solid understanding of procurement and finance concepts (spend under management, sourcing savings, AP automation, supplier risk).
- Communication: Strong presentation and storytelling skills; ability to translate technical insights into executive-ready narratives.
- Self-starter mindset with the ability to manage multiple priorities across geographies and time zones..
- Preferred Qualifications:
- MBA or Master’s degree in Finance, Economics, Analytics, or Business Strategy.
- Experience with Coupa, Ariba, or other procurement platforms.
- Prior experience supporting pre-sales, value advisory, business intelligence or customer success teams.
Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.
Please be advised that inquiries or resumes from recruiters will not be accepted.
By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.
Top Skills
Git
Java
JavaScript
Node.js
Power BI
Pyspark
Python
PyTorch
React
SQL
Tableau
TensorFlow
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