Capacity Planning Analyst Careers at Block - St. Louis, MO | Apply Now!

Role Overview

Join Block's innovative team as a Capacity Planning Analyst in St. Louis, MO, and play a pivotal role in shaping the future of financial services through Cash App. Block, formerly Square, revolutionized peer-to-peer payments in 2013 and has grown into a dynamic ecosystem serving 50+ million monthly active users. This role focuses on optimizing workforce and operational resources using advanced data science, AI, and machine learning to forecast demand over a 3-year horizon.

As a Capacity Planning Analyst, you'll leverage SQL, Python, and Generative AI to build forecasting models, analyze call center operations, and ensure resource alignment with business growth. This position demands expertise in workforce management (WFM), predictive analytics, and cross-functional collaboration. Whether handling seasonal peaks, product launches, or expansion strategies, you'll translate complex data into actionable insights that drive efficiency and profitability.

Block's distributed culture supports innovation from anywhere, with tailored experiences for productivity and happiness. If you're passionate about redefining money's role in everyday life, this Capacity Planning Analyst role at Block offers unparalleled impact.

Key Responsibilities

The Capacity Planning Analyst at Block has a dynamic set of responsibilities centered on data-driven decision-making:

• Develop and maintain sophisticated capacity and demand forecasting models using historical data, market trends, and AI/ML techniques to predict needs accurately.
• Create statistical models for predictive forecasting with 3-year planning horizons, ensuring long-term strategic alignment.
• Conduct scenario planning and sensitivity analyses to evaluate impacts from product launches, seasonal changes, and business expansions.
• Analyze large datasets using SQL and Python to monitor key KPIs, utilization rates, and identify capacity bottlenecks proactively.
• Build automated data pipelines and enhance planning tools for improved accuracy, efficiency, and scalability.
• Utilize prompt engineering with Generative AI to automate report writing, optimize query performance, and streamline insights delivery.
• Apply WFM principles to forecast labor demand/supply, optimize scheduling, and balance service levels with cost control.
• Manage staff allocation to meet service levels while preventing burnout and controlling operational costs.
• Monitor staffing metrics like shrinkage, occupancy, and scheduling effectiveness to drive continuous improvements.
• Partner with HR, Finance, Operations, Sales, and Data Science teams to inform capacity decisions.
• Transform complex datasets into compelling narratives and visualizations for senior management.
• Present data-driven insights and strategic recommendations to executive stakeholders, influencing company direction.
• Identify and mitigate risks related to capacity shortages or excesses, safeguarding business continuity.

Qualifications

To succeed as a Capacity Planning Analyst at Block, candidates should possess:

• Bachelor's degree in Statistics, Data Science, Operations Research, Industrial Engineering, or a related quantitative field; Master's preferred.
• 3-5 years of experience in capacity planning, workforce management, forecasting, or analytics roles, ideally in fintech or call centers.
• Advanced proficiency in SQL for querying large datasets and Python (Pandas, NumPy, Scikit-learn) for modeling and automation.
• Proven track record building AI/ML forecasting models, including time-series analysis and predictive algorithms.
• Deep knowledge of WFM principles, call center metrics (AHT, SL, occupancy), and resource optimization.
• Experience with data pipeline tools (Airflow, dbt) and cloud platforms (AWS, GCP).
• Familiarity with Generative AI (e.g., GPT models) for prompt engineering, report automation, and query optimization.
• Strong skills in scenario modeling, sensitivity analysis, and risk assessment.
• Exceptional communication abilities to distill technical findings into business recommendations.
• Analytical mindset with attention to detail and problem-solving under ambiguity.
• Experience collaborating cross-functionally in fast-paced environments.
• Comfort with remote/hybrid work and global team dynamics.

Salary & Benefits

Block offers competitive compensation for Capacity Planning Analysts in St. Louis, MO, estimated at $115,000 - $155,000 USD yearly, based on experience, plus equity and bonuses. Total rewards include:

• Comprehensive health, dental, vision coverage with low premiums.
• 401(k) with 4%+ matching and immediate vesting.
• Unlimited PTO, flexible holidays, and sabbaticals.
• Remote-friendly policies with home office stipends.
• $1,500+ annual learning stipend for certifications like Google Data Analytics or AWS ML.
• Generous parental leave (16+ weeks fully paid).
• RSUs and ESPP for ownership in Block's growth.
• Wellness perks: gym reimbursements, mental health days, EAP.
• Daily meals, snacks, and team events.
• Volunteer PTO and 4x donation matching.
• AI/ML-specific training and conferences.
• Career mobility across Cash App, Afterpay, and Square.

Why Join Block?

Block isn't just a fintech leader; it's a mission-driven company transforming how 50M+ users send, spend, invest, borrow, and save. As a Capacity Planning Analyst, you'll contribute to Cash App's ecosystem, including Afterpay, in a culture of innovation, collaboration, and impact. Our distributed team thrives on trust, with no micromanagement—focus on results from St. Louis or remotely.

St. Louis offers affordability, vibrant culture, and proximity to Block's operations hub. Enjoy perks like equity upside (Block stock has massive growth potential), inclusive DEI initiatives, and paths to senior roles. Past analysts have advanced to Director of Operations or Data Science leads. Join us to make money relatable, accessible, and equitable.

How to Apply

Ready to optimize capacity at Block? Submit your resume, LinkedIn, and a cover letter highlighting your forecasting projects. Include GitHub/portfolio links for SQL/Python work. Block's hiring process includes:

1. Resume screen (24-48 hours).
2. Technical interview: SQL/Python forecasting case (1 hour).
3. Case study: Build a sample capacity model (take-home, 4 hours).
4. Cross-functional panel: Present insights (45 mins).
5. Final exec chat and offer.

We prioritize diverse talent and accommodate needs. Apply now—positions fill fast!