Block · 8 hours ago
Capacity Planning Analyst
Block is a company that aims to redefine the world’s relationship with money through innovative financial products. They are seeking a Capacity Planning Analyst to optimize workforce and operational resources by leveraging advanced data science techniques and building forecasting models to align with business demands.
Financial Services
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
Block
Block is one company built from many blocks, all united by the same purpose of economic empowerment.
H1B Sponsorship
Block 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 StageRecent News
Morningstar, Inc.
2024-11-14
Business Journals
2024-04-05
2024-03-08
Company data provided by crunchbase