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# Business Intelligence Consultant

- **Company:** Texas Mutual Insurance Company
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $93,169.0 - $115,091.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Information Systems, Data Visualization, Python (Programming Language), Power BI, Cloud Services, SQL Databases, Tableau (Software), Snowflake, Data Analytics, Tools for Reporting, Streamlit Framework
- **Published:** August 18, 2026
- **Apply:** https://texasmutual.wd1.myworkdayjobs.com/texas_mutual_careers/job/Austin-Texas/Business-Intelligence-Consultant_R0002474-1

## About the Role

* A Bachelor's degree in Business, Finance, Analytics, Information Systems, or a related field or equivalent education, training, or experience.
 * At least 2 years of experience in reporting, business intelligence, or data analytics roles or equivalent education, training, or experience.
 * Experience with creating reports, dashboards, and ad hoc analysis to support business decision-making.
 * Proficiency in SQL for querying, cleaning, and combining large datasets.
 * Working knowledge of Python.
 * Experience with data visualization tools (e.g., Tableau, Power BI) and the ability to design scalable, visual reporting solutions.
 * Analytical skills and the ability to work on complex, multi-variable datasets.
 * Experience presenting findings to all audiences.

Preferred Qualifications:

 * Experience with cloud data platforms (e.g., Snowflake).

Texas Mutual Pay Transparency

## Description

The Business Intelligence Consultant role contributes to driving data-informed decision-making by developing advanced reporting and analytics, dashboards, interactive data applications, and AI-powered analytics tools. This mid-level role focuses on enabling self-service analytics, enhancing reporting capabilities, standardizing processes, and delivering actionable insights that align with business needs., * Design and automate dashboards and recurring reports to monitor indicators and reduce manual effort.

 * Perform in-depth analyses of complex datasets to address specific business questions and identify trends, patterns, and anomalies.
 * Collaborate with partners to gather reporting requirements, translate them into technical specifications, and provide tailored solutions.
 * Ensure data quality and integrity by validating and troubleshooting data issues to ensure delivery of accurate analytics and reports.
 * Communicate insights through concise presentations, summaries, and visualizations tailored to multiple audiences.
 * Extend self-service analytics through interactive data applications and AI-powered agents, such as Streamlit, Snowflake CoWork, and AI Agents. Support the transition of users from legacy reporting to modern, self-service tools and natural language querying of our data.
 * Applying automated machine learning tools to lead insights and create predictive models
 * Mentor entry-level team members, providing guidance on reporting tools, self-service analytics, and best practices.


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