Monday Senior Business Analyst Customer Strategy Planning & Analytics 

United States, New York, New York 

950425811

• Customer Health & Retention Analysis: Develop metrics, dashboards, and deep‑dive analyses on NDR, GDR, churn, adoption, and product usage to surface growth opportunities and risk signals.
• Insights & Reporting for the CCO: Lead the weekly/monthly business‑review cadence, delivering timely insights that guide customer strategy, resource allocation, and account‑level plays.
• Predictive Modelling & Forecasting: Build models to predict renewal likelihood, expansion potential, and churn drivers; partner with Data Engineering to productionize solutions in Snowflake and Looker.
• Data Visualization & Storytelling: Design intuitive dashboards and executive‑level presentations that translate complex findings into clear, actionable narratives.
• Cross‑Functional Collaboration: Work closely with Customer Success, Support, Product, Finance, and Revenue Operations to design programs that improve customer outcomes and drive NDR.
• Operational Enablement: Provide ad‑hoc analysis for capacity planning, strategic planning, and executive‑level requests.

• 8+ years in customer analytics, customer success operations, or revenue analytics within a B2B SaaS environment partnering closely with post‑sales teams.
• Demonstrated business modeling skills—able to translate customer and operational data into scenarios, forecasts, and actionable revenue insights.
• Exceptional analytical and storytelling skills—able to distill complex findings into clear, actionable insights for non‑technical audiences.
• Proficient SQL skills—you can write and maintain easily understood queries in Snowflake (or similar warehouses).
• Proven experience designing dimensional data models and building self‑serve dashboards in Looker, Tableau, or comparable BI tools.
• Bachelor’s degree (or equivalent practical experience) in an analytical or quantitative field.

Nice to have:

• Hands‑on expertise creating customer health scores, churn/expansion propensity models, and predictive retention forecasts.
• Familiarity with customer‑centric platforms (e.g., Gainsight) and CRM systems (e.g., Salesforce) as well as key CS metrics (CSAT).
• Prior support of Customer Success or Customer Operations teams.

What monday.com can offer you:

• Opportunity to join a well-funded, proven company with big ambitions, competitive salary and benefit package, bonus potential, and eligibility to take part in the company equity incentive program
• Amazing company culture that values transparency and collaboration while never forgetting to have fun while we work!
• Monthly stipends for food, wellness, and commuter work
• Fully dedicated learning and development team that provides opportunities for our employees to hone and gain new skills
• Award winning work environment - named a "Best Place to Work" by BuiltIn as well as "Great Place To Work" certified
• We foster diversity, inclusion, and belonging through our Employee Resource Groups in addition to providing access to resources and education to support our team, facilitate conversations, and encourage understanding
• A global work environment with employees in Tel Aviv, New York, San Francisco, Miami, Chicago, Denver, London, Kiev, Sydney, São Paulo, and Tokyo

Please note that this role is on a hybrid model.

Visa sponsorship for this role is currently not available.is proud to be an equal-opportunity employer. We hire talented individuals, regardless of gender, race, ethnicity, ancestry, age, disability, sexual orientation, gender identity or expression, military or veteran status, cultural background, religious beliefs, or any other characteristic protected by federal, state, or local laws

• For New York City-based hires only: Compensation Range: $150K -$170K base salary, subject to standard withholding and applicable taxes. In addition to base salary, the role includes opportunity to receive and/or earn a discretionary bonus and/or equity based on Company’s plans and in accordance with Company’s policies. Compensation finally awarded to the candidate will be commensurate with the candidate’s skills and experience. Compensation ranges for candidates in locations outside of New York City may differ based on the cost of labor and such additional factors for such other locations.