Business Analyst, Planning & Analytics

Arva Intelligence•Houston, TX

18h

About The Position

The Business Analyst, Planning & Analytics helps Arva scale efficiently and sustainably by forecasting and optimizing organizational capacity across lines of business. The role aligns teams, resources, and supported acres with business demand and delivery commitments, contributing to workforce planning, acreage allocation, portfolio forecasting, and operational planning. Reporting to the Senior Director of Portfolio Management, the analyst examines complex operational and business data, identifies trends and anticipated constraints, and provides leaders with clear, actionable insights for planning and decision-making. The role works across Customer Success, Sales, Operations, Product, and other teams to translate pipelines, customer commitments, workloads, and business opportunities into capacity requirements. It builds and maintains capacity models, forecasts resource demand and staffing needs, identifies bottlenecks, and develops scenario analyses to support hiring, acreage allocation, and resource reallocation decisions. It also gathers and analyzes data from multiple sources and maintains dashboards, reports, and scorecards covering capacity, utilization, workload, and operational performance. The analyst supports improvements to portfolio management processes, governance, operating procedures, forecasting methodologies, tools, reporting structures, and workflows. The position also prepares leadership presentations and reports, communicates findings to technical and non-technical stakeholders, and contributes to continuous improvement focused on scalability, predictability, and execution. Arva describes the opportunity as applying analytical skills to work supporting growers, partners, and customers and helping scale regenerative agriculture.

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 data needed to support business decisions.
Excellent written, verbal, and presentation skills.
Strong problem-solving and critical-thinking skills, with exceptional attention to detail.
Ability to analyze complex datasets, identify patterns, and turn findings into actionable recommendations.
Understanding of how sales pipelines, customer demand, and operational workloads affect future resource needs.
Ability to balance operational realities with growth objectives when analyzing capacity and resource needs.
Ability to communicate analyses and recommendations simply, concisely, and persuasively.
Ability to build working relationships across departments and help drive alignment on capacity planning and priorities.
Interest in improving processes, increasing efficiency, and strengthening execution.

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

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 showing 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 with Customer Success, Sales, Operations, Product, and other teams to understand current and future workload drivers.
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.
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 and present findings clearly to technical and non-technical stakeholders.
Support proactive staffing decisions through data-driven forecasting, improve forecast accuracy, identify process improvements, and serve as an analytical partner to leadership and cross-functional teams.