Cash App · 19 hours ago
Capacity Planning Analyst
United States
Full-time
Remote
Mid, Senior Level
$102K/yr - $152K/yr
3+ years expCash App, a product of Block, is focused on redefining the world’s relationship with money. They are seeking a Capacity Planning Analyst to optimize workforce and operational resources alignment with business demands through advanced analytics and forecasting models.
BitcoinCryptocurrencyE-CommerceFinancial ServicesMobile Payments
Responsibilities
Develop and maintain sophisticated capacity and demand forecasting models using historical data, market trends, and AI/ML techniques
Create statistical models for predictive forecasting with 3-year planning horizons
Conduct scenario planning and sensitivity analyses to evaluate business strategy impacts (product launches, seasonal changes, expansion)
Analyze large datasets using SQL and Python to monitor KPIs, utilization rates, and identify capacity bottlenecks
Build automated data pipelines and enhance planning tools for improved accuracy and efficiency
Utilize prompt engineering with Generative AI to automate report writing and optimize query performance
Optimize queries and automate report generation using AI-powered tools
Apply WFM principles to forecast labor demand/supply and optimize scheduling
Manage staff allocation to meet service levels while controlling costs and preventing burnout
Monitor staffing metrics including shrinkage, occupancy, and scheduling effectiveness
Partner with HR, Finance, Operations, Sales, and Data Science teams on capacity decisions
Transform complex datasets into compelling narratives for senior management
Present data-driven insights and strategic recommendations to executive stakeholders
Identify and mitigate risks related to capacity shortages or excesses
Strong analytical and problem-solving skills with exceptional attention to detail
Excellent communication abilities to translate technical findings into business recommendations
Proven project management skills in fast-paced, multi-stakeholder environments
Strategic thinking with ability to create executive-level presentations
Qualification
Required
3-7 years of experience in capacity planning, workforce analytics, or similar analytical roles
Knowledge of WFM tools (e.g., Genesys, Verint, Assembled or specialized AI scheduling assistants)
Familiarity with forecasting, staffing metrics (shrinkage, occupancy), and scheduling strategies
Strong analytical and problem-solving skills with exceptional attention to detail
Excellent communication abilities to translate technical findings into business recommendations
Proven project management skills in fast-paced, multi-stakeholder environments
Strategic thinking with ability to create executive-level presentations
Develop and maintain sophisticated capacity and demand forecasting models using historical data, market trends, and AI/ML techniques
Create statistical models for predictive forecasting with 3-year planning horizons
Conduct scenario planning and sensitivity analyses to evaluate business strategy impacts (product launches, seasonal changes, expansion)
Analyze large datasets using SQL and Python to monitor KPIs, utilization rates, and identify capacity bottlenecks
Build automated data pipelines and enhance planning tools for improved accuracy and efficiency
Utilize prompt engineering with Generative AI to automate report writing and optimize query performance
Optimize queries and automate report generation using AI-powered tools
Apply WFM principles to forecast labor demand/supply and optimize scheduling
Manage staff allocation to meet service levels while controlling costs and preventing burnout
Monitor staffing metrics including shrinkage, occupancy, and scheduling effectiveness
Partner with HR, Finance, Operations, Sales, and Data Science teams on capacity decisions
Transform complex datasets into compelling narratives for senior management
Present data-driven insights and strategic recommendations to executive stakeholders
Identify and mitigate risks related to capacity shortages or excesses
Preferred
SQL: Advanced proficiency for data extraction, manipulation, and analysis of large datasets
Python: Experience in data analysis, statistical modeling, and automation scripting
AI/ML: Hands-on experience with predictive models (regression, time-series analysis, forecasting algorithms)
Prompt Engineering: Experience utilizing Generative AI for automating analytical workflows and report generation
Data Visualization: Proficiency in Tableau, Looker, Power BI, or similar tools
Benefits
Remote work
Medical insurance
Flexible time off
Retirement savings plans
Modern family planning
Company
Cash App
It all started with an idea at Block in 2013.
Founded in 2013San Francisco, California, USA
1001-5000 employees
H1B Sponsorship
Cash App has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (257)
2024 (253)
2023 (260)
2022 (297)
Funding
Current Stage
Late StageTotal Funding
$10M2018-04-04Pre Seed· $10M
Leadership Team
Luis O.
Chief Executive Officer, Cash App Investing
OWEN JENNINGS (OBJ)
Chief Operating Officer
Recent News
Android Headlines
2025-12-05
Company data provided by crunchbase