Business Intelligence (BI) Analyst
About the position
The Business Intelligence (BI) Analyst plays a critical role in enabling data-driven decision-making across the organization. This role is responsible for ensuring data quality and integrity, delivering actionable insights through advanced analysis and compelling visualizations, and collaborating across departments to refine and strengthen Arva’s enterprise data strategy. Working closely with the BI team and cross-functional partners including analysts, developers, and business stakeholders, the BI Analyst will help optimize data structures, enhance reporting capabilities, uphold governance standards, and empower leaders to make informed, strategic decisions.
Responsibilities
• Collaborate with Arva analysts and cross-functional teams to optimize data structures and expand connectivity across systems
• Identify opportunities for process improvement through automation and/or AI to reduce manual workloads, increase operational efficiency, and improve business outcomes
• Extract, clean, and analyze data from multiple sources to identify key insights and trends
• Perform in-depth analysis of large datasets to uncover patterns, anomalies, and opportunities
• Generate clear, insightful reports and visualizations to communicate findings and forecast business outcomes
• Provide actionable recommendations to improve data quality, reliability, and business performance
• Ensure the accuracy and integrity of reports and dashboards through rigorous validation and testing
• Partner with Arva analysts and key team members to develop and implement data quality standards, protocols, and guidelines
• Conduct regular audits to ensure compliance with established data standards
• Maintain detailed documentation of data processes, methodologies, and analytical outcomes
• Prepare and present regular reports on key metrics and performance to leadership and stakeholders
• Communicate findings clearly and effectively, both verbally and in writing
• Develop both interactive and static data visualizations in collaboration with analysts and data scientists
• Translate complex data insights into compelling, accessible narratives for non-technical audiences
• Partner with Arva analysts to train colleagues and end users on interpreting and using data visualizations effectively
• Maintain data privacy and security protocols across all aspects of data handling and visualization
Requirements
• 4+ years BI experience
• Strong Tableau experience required
• Proven ability to design research methodologies, analyze data, and deliver actionable insights
• Strong analytical and problem-solving skills with exceptional attention to detail
• Excellent communication skills with the ability to translate complex findings for non-technical stakeholders
• Familiarity with data industry standards, governance practices, and regulatory requirements
• Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R) preferred
Nice-to-haves
• Experience with AWS data tools, strongly preferred
• Knowledge of agricultural, sustainability, or environmental data, or experience working with similar dataset, is a plus
Benefits
• Be part of building something innovative and foundational in regenerative agriculture and sustainability
• Contribute to work that’s bigger than any one role and drives lasting impact across the globe
• Meaningful career growth as we scale
• 100% employer-paid health insurance premiums
• 10%–20% target annual bonus
• 401(k) contribution
• Flexible PTO
• Stock options
Apply Now
Apply Now
The Business Intelligence (BI) Analyst plays a critical role in enabling data-driven decision-making across the organization. This role is responsible for ensuring data quality and integrity, delivering actionable insights through advanced analysis and compelling visualizations, and collaborating across departments to refine and strengthen Arva’s enterprise data strategy. Working closely with the BI team and cross-functional partners including analysts, developers, and business stakeholders, the BI Analyst will help optimize data structures, enhance reporting capabilities, uphold governance standards, and empower leaders to make informed, strategic decisions.
Responsibilities
• Collaborate with Arva analysts and cross-functional teams to optimize data structures and expand connectivity across systems
• Identify opportunities for process improvement through automation and/or AI to reduce manual workloads, increase operational efficiency, and improve business outcomes
• Extract, clean, and analyze data from multiple sources to identify key insights and trends
• Perform in-depth analysis of large datasets to uncover patterns, anomalies, and opportunities
• Generate clear, insightful reports and visualizations to communicate findings and forecast business outcomes
• Provide actionable recommendations to improve data quality, reliability, and business performance
• Ensure the accuracy and integrity of reports and dashboards through rigorous validation and testing
• Partner with Arva analysts and key team members to develop and implement data quality standards, protocols, and guidelines
• Conduct regular audits to ensure compliance with established data standards
• Maintain detailed documentation of data processes, methodologies, and analytical outcomes
• Prepare and present regular reports on key metrics and performance to leadership and stakeholders
• Communicate findings clearly and effectively, both verbally and in writing
• Develop both interactive and static data visualizations in collaboration with analysts and data scientists
• Translate complex data insights into compelling, accessible narratives for non-technical audiences
• Partner with Arva analysts to train colleagues and end users on interpreting and using data visualizations effectively
• Maintain data privacy and security protocols across all aspects of data handling and visualization
Requirements
• 4+ years BI experience
• Strong Tableau experience required
• Proven ability to design research methodologies, analyze data, and deliver actionable insights
• Strong analytical and problem-solving skills with exceptional attention to detail
• Excellent communication skills with the ability to translate complex findings for non-technical stakeholders
• Familiarity with data industry standards, governance practices, and regulatory requirements
• Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R) preferred
Nice-to-haves
• Experience with AWS data tools, strongly preferred
• Knowledge of agricultural, sustainability, or environmental data, or experience working with similar dataset, is a plus
Benefits
• Be part of building something innovative and foundational in regenerative agriculture and sustainability
• Contribute to work that’s bigger than any one role and drives lasting impact across the globe
• Meaningful career growth as we scale
• 100% employer-paid health insurance premiums
• 10%–20% target annual bonus
• 401(k) contribution
• Flexible PTO
• Stock options
Apply Now
Apply Now