Business Analyst, Planning & Analytics

Arva Intelligence•Houston, TX
•$85,000 - $100,000•Remote

About The Position

Arva is seeking an experienced Business Analyst, Planning & Analytics to play a critical role in helping the company scale efficiently and sustainably. This role is responsible for forecasting and optimizing organizational capacity across its lines of business, ensuring that teams, resources, and supported acres align with business demand and delivery commitments. Reporting to the Senior Director of Portfolio Management, the Business Analyst will be a key contributor to workforce planning, acreage allocation, portfolio forecasting, and operational planning. This individual will analyze complex operational and business data to identify trends, anticipate constraints, and provide leaders with clear, actionable insights to support better planning and decision-making. The ideal candidate brings a strong analytical foundation, experience in operational or business planning environments, and the ability to translate complex data into straightforward, business-focused recommendations. They are comfortable working across functions, navigating ambiguity, and balancing analytical rigor with practical execution.

Requirements

  • Bachelor’s degree in Business, Finance, Operations Management, Supply Chain, Analytics, Economics, or a related field.
  • 3–8 years of experience in capacity planning, workforce planning, operations, portfolio management, business analytics, sales operations, or a related discipline.
  • Experience building forecasts, resource models, or operational planning tools.
  • Advanced proficiency in Microsoft Excel and/or Google Sheets, including complex formulas, data modeling, pivot tables, scenario analysis, and large dataset management.
  • Strong experience gathering, organizing, and analyzing data from multiple sources.
  • Ability to independently obtain, consolidate, and structure the data needed to support business decisions.
  • Excellent written, verbal, and presentation skills.
  • Strong problem-solving and critical-thinking skills with exceptional attention to detail.
  • Only applicants currently, and in the future, eligible to work in the United States will be considered for this position.

Nice To Haves

  • Experience in both sales and operational environments.
  • Proficiency with business intelligence and visualization tools such as Power BI, Tableau, or similar platforms.
  • Experience with portfolio, project, or resource management platforms.
  • Familiarity with forecasting methods, workforce planning models, and operational KPI development.
  • Experience supporting a high-growth organization through scaling and operational change.
  • Interest in agriculture, sustainability, or mission-driven work.

Responsibilities

  • Develop and maintain forecasts for workforce capacity, acreage, and portfolio demand across lines of business.
  • Analyze current and projected capacity to identify gaps, constraints, and opportunities before they impact delivery.
  • Support resource allocation and scenario planning to ensure teams are aligned with evolving business needs.
  • Build and maintain analytical models, dashboards, and reporting that provide visibility into operational performance and capacity.
  • Partner with cross-functional leaders to understand business drivers, translate them into planning assumptions, and evaluate potential tradeoffs.
  • Turn complex datasets into clear insights and recommendations that inform strategic and operational decisions.
  • Monitor forecast accuracy, identify changes in business conditions, and continuously improve planning methodologies.
  • Support portfolio-level planning and reporting for leadership, including key risks, trends, and capacity considerations.
  • Establish and improve processes, tools, and analytical frameworks that enable Arva to scale planning capabilities as the organization grows.
  • Build and maintain workforce capacity models across lines of business, including Customer Success capacity tied to acres under management.
  • Forecast resource demand, utilization, and staffing needs using sales pipelines, customer commitments, operational workloads, and strategic initiatives.
  • Identify capacity triggers, bottlenecks, and resource constraints before they affect delivery.
  • Create scenario analyses to support hiring and workforce planning decisions.
  • Provide analysis and options to support acreage allocation and resource reallocation decisions.
  • Gather, clean, and analyze data from multiple sources to produce accurate portfolio and workforce insights.
  • Build and maintain dashboards, reports, and scorecards that show capacity, utilization, workload, and operational performance.
  • Track leading indicators and key metrics that support proactive portfolio management.
  • Deliver timely analyses and recommendations to support data-driven decisions.
  • Work closely with Customer Success, Sales, Operations, Product, and other teams to understand current and future workload drivers.
  • Partner with Customer Success Managers on workforce planning and acreage allocation.
  • Translate pipeline forecasts, customer commitments, and business opportunities into capacity requirements.
  • Support discussions on resource prioritization, tradeoffs, and operational readiness.
  • Surface opportunities to improve efficiency and productivity through process or resource changes.
  • Support the Senior Director of Portfolio Management in refining portfolio management processes, governance, and operating procedures.
  • Help document and maintain standardized methodologies for forecasting, capacity planning, and resource management.
  • Contribute to evaluating and adopting tools, reporting structures, and workflows that improve visibility and planning accuracy.
  • Participate in continuous improvement initiatives focused on scalability, predictability, and execution.
  • Prepare clear, concise presentations, reports, and recommendations for leadership review.
  • Turn complex datasets and analyses into simple, actionable insights.
  • Present findings and forecasts clearly to both technical and non-technical stakeholders.

Benefits

  • Equity
  • Bonus
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