Python ofertas em Singapura

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

As a Customer Success Sr. Strategy & Operations Senior Analyst, you will work on topics to support strategic planning, data-driven decision-making, and operational excellence. You will do this through a combination of analytical insight, strong business acumen, and robust cross-functional partnerships with leaders in Sales, Marketing, Finance, HR, etc., tracking performance against key planning assumptions, building predictive models for churn and retention ACV, and providing critical visibility into risks, opportunities, and drivers of customer success.

This position is an individual contributor role reporting to Manager, CS Strategy & Operations.

Responsibility

• Lead hypothesis-driven, quantitative projects end-to-end, ensuring cross-team collaboration
• Develop quantitative models to predict business performance, support long-range planning, and identify opportunities for improvement
• Partner with Finance and other Strategy & Ops functions on annual financial planning, including setting CS performance targets (Churn, Retention ACV, GRR)
• Track performance vs. plan throughout the year, highlighting key variances and recommending corrective actions
• Design, build, and maintain forecasting models for predicting churn and retention ACV, leveraging customer data, historical trends, and leading indicators
• Support dashboard and executive report creation to monitor CS metrics, adoption, retention, engagement, and program outcomes
• Design reporting cadence, governance, and data strategy for Customer Success programs
• Coordinate quantitative strategies derived from communication with stakeholders
• Collect, analyze, and interpret data related to customer success to identify trends and insights
• Communicate data-driven insights and recommendations to non-technical audiences
• Use analytics and data intuition to deliver insights on actions that influence net retention rates
• Define systems, tools, and business requirements for varied Customer Success projects
• Identify business improvement opportunities through analytics and quantitative insights
• Develop and track KPIs at global and regional levels
• Support core Customer Success operations processes, including annual planning and quarterly business reviews
• Use quantitative insights to recommend new initiatives and best practices for Customer Success operations
• Conduct research and analysis on revenue, customer trends, market dynamics, and competitive landscape to support decision-making
• Lead end-to-end operationalizing of go-to-market strategies, from conceptual design to tactical execution

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Basic

• A Bachelor’s degree in Computer Science, Business Information Systems, Business Administration, Finance, Economics, Applied Mathematics or Statistics, Econometrics, or closely related field
• 5+ years of experience in data engineering, insights and reporting, or analytics with increasing responsibility
• Experience directly supporting a GTM organization

Preferred

• Experience driving projects from start to finish
• Understanding of SQL, Excel, and data visualization tools such as Tableau, Looker, or Power BI
• Solid understanding of Customer Success metrics (GRR, NRR, BoR, Churn Rate, etc.) and SaaS business models
• Strong analytical thinker with experience turning complex datasets into clear business insights
• Effective, clear, and concise communication skills, verbal and written
• Results-driven and self-motivated with the ability to multitask
• Experience with Customer Success and Renewal KPIs and Metrics
• Familiarity with forecasting methodologies (e.g., regression, time-series) and tools (e.g., R, Python, or similar)
• Comfortable and flexible working in a fast-paced environment
• Knowledge of common machine learning and statistics frameworks and concepts
• Experience with large data sets, distributed computing and cloud computing platforms
• Experience directly supporting the Customer Success organization of a SaaS company
• Ability to break down technical concepts into simple terms to present to technical and non-technical audiences
• Proficiency in Salesforce, Gainsight
• Strong analytics and business acumen
• Customer service oriented and ability to partner with individuals at all levels

Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.