Business Intelligence Architect – Data Analytics, AI & Automation

Location: Austin, TX 78704
Worksite: 401 S. 1st Street, Austin, TX
Work Arrangement: Onsite – Day Shift
Schedule: 40 hours per week
Employment Type: W-2 Contract
Assignment Dates: December 1, 2026 – November 30, 2027
Contract Duration: Approximately 12 months
Openings: 1
Pay Rate: To be confirmed

Position Overview

We are seeking an analytical, technically curious, and self-motivated Business Intelligence Architect to support data analytics, business intelligence, process automation, and data architecture initiatives within a technology-driven organization.

This position combines business data analysis, data modeling, automation, reporting, and technical problem-solving to improve business operations and support data-driven decision-making.

The successful candidate will work with business stakeholders and technical teams to identify opportunities for process improvement, develop reporting and automation solutions, improve data quality, and support enterprise data platforms.

Recent graduates and early-career professionals with relevant technical education, hands-on experience, and a strong willingness to learn are encouraged to apply.

We are particularly interested in candidates who demonstrate initiative, creativity, adaptability, and the ability to learn new technologies quickly.

Key Responsibilities

Business Intelligence & Data Analytics

• Develop a strong understanding of business operations, data structures, and business processes.

• Analyze business data to identify trends, inefficiencies, and opportunities for improvement.

• Design and develop business intelligence solutions that support operational decision-making.

• Create and maintain Power BI reports, dashboards, and analytical solutions.

• Support data modeling, data manipulation, and reporting activities.

• Identify opportunities to optimize existing data structures and improve data performance.

• Work with stakeholders to understand reporting requirements and recommend appropriate data solutions.

Data Architecture & Data Quality

• Assist with the design and improvement of data architecture supporting business operations.

• Develop and implement data quality monitoring and auditing processes.

• Identify and resolve data integrity and consistency issues.

• Support the development of data standards, metadata definitions, and data models.

• Document data structures, business rules, and technical processes.

• Troubleshoot data-related performance, access, and security issues.

• Support databases, Business Objects, and related data infrastructure.

• Recommend improvements to data organization, reliability, and usability.

AI, Automation & Process Improvement

• Identify opportunities to automate repetitive business processes and improve operational efficiency.

• Design and develop workflow automation solutions.

• Support AI and robotic process automation (RPA) initiatives.

• Develop solutions using tools such as Power Automate, UiPath, and related technologies.

• Explore opportunities to apply AI and automation tools to business operations.

• Assist with the development of custom applications and automated workflows.

• Evaluate new technologies and recommend practical improvements to existing processes.

CRM & Enterprise Data Support

• Support data integrity and business operations within CRM systems.

• Troubleshoot data-related issues affecting CRM functionality and reporting.

• Collaborate with business users to identify and resolve data inconsistencies.

• Assist with data integration and process improvements involving enterprise applications.

• Support business operations involving SAP and other data platforms, as applicable.

Project Management & Collaboration

• Gather business requirements and translate them into technical specifications.

• Collaborate with business stakeholders, analysts, and technical team members.

• Develop and maintain project plans for business intelligence and data initiatives.

• Manage changing priorities, project deadlines, scope, and resource requirements.

• Document project requirements, data standards, and solution designs.

• Support change management and change controls for data products and associated environments.

• Present findings, recommendations, and project updates to stakeholders.

• Independently manage multiple assignments while maintaining attention to detail.

Required Qualifications

Education

Bachelor's degree in one of the following fields, or a similar field of study, or equivalent relevant experience:

• Computer Science

• Information Systems

• Informatics

• Mathematics

• Industrial Engineering

• Related technical or analytical discipline

Technical & Analytical Skills

• Strong analytical and problem-solving abilities.

• Ability to collect, organize, analyze, and interpret complex information.

• Hands-on experience with one or more data analytics, automation, modeling, or data manipulation tools.

• Familiarity with business intelligence concepts, reporting, and data structures.

• Ability to identify data quality issues and recommend improvements.

• Experience or practical knowledge involving data standards, data modeling, or metadata documentation.

• Strong troubleshooting skills and attention to detail.

• Ability to learn new technologies, systems, and business processes.

Relevant technical experience may include academic projects, internships, professional experience, or other hands-on technical work.

Professional Skills

• Strong written and verbal communication skills.

• Ability to explain technical concepts to business stakeholders.

• Strong organizational and time-management skills.

• Ability to work independently and manage multiple assignments.

• Self-motivated approach to learning and problem-solving.

• Adaptability in a changing technical environment.

• Creative thinking and willingness to take initiative.

• Strong presentation and documentation skills.

Relevant Technical Skills & Tools

Candidates should have hands-on experience with one or more of the following technologies or related platforms:

Business Intelligence & Analytics

• Microsoft Power BI

• DAX

• Advanced SQL

• PL/SQL

• R

• SAP HANA

• Business Objects

Automation & AI

• Microsoft Power Automate

• UiPath

• Robotic Process Automation (RPA)

• AI-enabled business automation tools

Data Platforms & Modeling

• Database technologies

• Data modeling and metadata management

• Data quality and auditing tools

• Data manipulation and reporting platforms

Business & Documentation Tools

• Microsoft Excel and Microsoft 365

• Microsoft PowerPoint

• Microsoft Visio

• CRM systems

• Enterprise business applications

Preferred Qualifications

• Experience with UiPath or Microsoft Power Automate.

• Familiarity with Microsoft Copilot or Athinia.

• Experience with Snowflake or Databricks.

• Experience developing Power BI dashboards and reports.

• Strong SQL or PL/SQL skills.

• Familiarity with DAX, R, or SAP HANA.

• Experience with CRM data management.

• Knowledge of SAP systems.

• Experience with data quality processes and data auditing.

• Experience documenting data standards and metadata models.

• Experience designing or improving business workflows.

• Exposure to AI-driven analytics or robotic process automation.