Business Analyst, Planning & Analytics

Arva is a machine learning software-based SaaS company with offices located in Houston, TX and Park City, UT. Arva's platform was built to apply our novel ML technology to the agricultural industry, optimizing and measuring regenerative practices, improving crop yields, and reducing operational costs for producers. Our platform helps our customers and partners capitalize on "natural regenerative practices" by providing recommendations that improve environmental and ecological ecosystems. Platform features include practice verification and registration, as well as the sale of environmental asset credits to our corporate buyers. Thus, Arva is helping to keep the planet green by providing a "green-tech" platform that informs, measures, validates, and registers carbon exchange opportunities, allowing growers and ranchers to produce and sell credits that are bought by our corporate partners, who endorse sustainable food supply and carbon neutrality.

As Arva scales its work with global enterprise CPG partners, we are seeking an experienced Global Client Partner to own end-to-end client delivery, cross-functional coordination, and relationship depth across Arva's largest global accounts.

Arva exists to scale regenerative agriculture. We connect farmers and corporations through technology that measures what’s happening on the land, enabling growers to be rewarded for improving soil health while helping businesses achieve their sustainability goals with measurable, verified results. As our programs and impact continue to grow, thoughtful capacity planning and resource allocation are critical to ensuring we can scale effectively while maintaining the quality of our work.

The Business Analyst, Planning & Analytics plays a critical role in helping Arva scale efficiently and sustainably. This role is responsible for forecasting and optimizing organizational capacity across our lines of business, ensuring that our teams, resources, and supported acres remain aligned 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 working 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.

• →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.

• 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.

• 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.

• Analytical Mindset: Evaluates complex datasets, identifies patterns, and turns findings into actionable recommendations.
• Workforce Planning Awareness: Understands how sales pipelines, customer demand, and operational workloads affect future resource needs.
• Business Acumen: Balances operational realities with growth objectives when analyzing capacity and resource needs.
• Data Storytelling: Communicates analyses and recommendations simply, concisely, and persuasively.
• Cross-Functional Collaboration: Builds strong working relationships across departments and helps drive alignment on capacity planning and priorities.
• Continuous Improvement: Looks for ways to improve processes, increase efficiency, and strengthen execution.
• Mission Alignment: Connects day-to-day analysis to the larger goal of scaling regenerative agriculture.
• Deliver dashboards that give clear visibility into resource demand, utilization, and capacity risks.
• Support proactive staffing and acreage allocation decisions through data-driven forecasting.
• Improve forecast accuracy and reduce surprises related to workload and capacity.
• Identify and help implement process improvements that increase operational efficiency.
• Become a trusted analytical partner to leadership and cross-functional teams.

Only applicants currently, and in the future, eligible to work in the United States will be considered for this position.

Arva is a machine learning software-based SaaS company with offices located in Houston, TX and Park City, UT. Arva’s platform was built to apply our novel ML technology to the agricultural industry, optimizing and measuring regenerative practices, improving crop yields, and reducing operational costs for producers. Our platform helps our customers and partners capitalize on “natural regenerative practices” by providing recommendations that improve environmental and ecological ecosystems. Platform features include practice verification and registration, as well as the sale of environmental asset credits to our corporate buyers. Thus, Arva is helping to keep the planet green by providing a “green-tech” platform that informs, measures, validates, predicts, and registers carbon exchange opportunities, allowing growers and ranchers to produce and sell credits that are bought by our corporate partners, who endorse sustainable food supply and carbon neutrality.

This job description reflects the core duties of the role but is not intended to be all-inclusive. The role may evolve as the company grows, requiring additional responsibilities or changes in scope.