Business Intelligence (BI) Analyst

Arva Intelligence•Houston, TX

4h•$90,000 - $110,000•Hybrid

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.

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
Experience with AWS data tools, strongly preferred
Knowledge of agricultural, sustainability, or environmental data, or experience working with similar dataset, is a plus

Nice To Haves

Knowledge of agricultural, sustainability, or environmental data, or experience working with similar dataset, is a plus

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