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Business Intelligence (BI) Analyst

Arva Intelligence
Posted 25 days ago, valid for 16 days
Location

Houston, TX 77203, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • The BI Analyst position at Arva Intelligence in Houston, TX, offers a salary range of $90k - $110k and requires a minimum of 4 years of experience in business intelligence.
  • This role focuses on ensuring data quality and integrity while delivering actionable insights through advanced analysis and visualizations.
  • Key responsibilities include collaborating with cross-functional teams to optimize data structures, conducting in-depth data analysis, and maintaining data documentation and governance.
  • Candidates should possess strong Tableau skills, analytical problem-solving abilities, and familiarity with data analysis tools such as SQL and Python.
  • The position offers a hybrid work schedule and includes benefits like 100% employer-paid health insurance, flexible PTO, and stock options.

Job Title: BI Analyst

Department: Operations/Business Intelligence

Reports to: Business Intelligence Lead

Location: Houston, TX (Hybrid schedule)

Salary:  $90k - $110k*

General Position Description

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.

 

Primary Job Responsibilities

Data Strategy

  • 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

Data Analysis

  • 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

Data Quality Assurance

  • 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

Data Documentation and Governance

  • 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

Data Visualization & Storytelling

  • 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

User Enablement

  • Partner with Arva analysts to train colleagues and end users on interpreting and using data visualizations effectively

Data Security

  • Maintain data privacy and security protocols across all aspects of data handling and visualization

Key Competencies / 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

About Arva Intelligence

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.

*Why you’ll love working here:

  • 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

 Employment Eligibility

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




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