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Business Intelligence Specialist

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Antea Group USA
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Business Systems & Technology Analysis, Data Engineering
Salary/Wage Range or Industry Benchmark: 65000 - 75000 USD Yearly USD 65000.00 75000.00 YEAR
Job Description & How to Apply Below

Antea USA, Inc. (Antea®Group) is seeking a skilled and motivated Business Intelligence Specialist to join our dynamic technical support team.

As a Business Intelligence Specialist, you will engage in diverse project assignments, including data management and analysis, data automation flows, and creating insightful data visualizations using tools such as Power BI or Tableau. This position involves conducting detailed data analysis, developing and maintaining business intelligence dashboards, and thoroughly reviewing, analyzing, designing, developing, testing, and documenting project data. Ideal candidates should possess strong data management and analytical skills, excellent organizational and communication capabilities (both verbal and written), and the ability to thrive in a fast-paced environment alongside a supportive technical team.

This is a full-time opportunity that offers a hybrid work environment. The preferred candidate must reside in the United States and be located in or near Minneapolis/St. Paul (Twin Cities), MN, Greater Austin, TX, or Fort Collins, CO.

Essential Functions include but are not limited to:
  • Partner with business stakeholders and project teams to understand goals, facilitate requirements discussions, define success criteria, and translate business needs into scalable, decision-ready BI solutions.
  • Apply data visualization, accessibility, usability, and brand standards to create clear, consistent, client- and leadership-ready deliverables.
  • Develop and optimize data models using star schema and or dimensional modeling practices, Power Query, DAX, or SQL to deliver accurate, and reusable analytics.
  • Integrate, transform, and validate data from business applications, relational databases, files, APIs, and other enterprise data sources.
  • Perform analyses and effectively visualize project data within Excel and business intelligence platforms (i.e., Power BI, Tableau, etc.).
  • Communicate findings and recommendations to technical and non-technical audiences, provide user guidance, and support adoption of delivered solutions.
  • Independently manage assigned work, communicate risks and dependencies, contribute to estimates and work plans, and collaborate effectively across multidisciplinary teams.
Qualifications
  • B.S. degree in Data Science, Data Analytics, Information Systems, Geology, Geography, Environmental Engineering, Earth Science or related field.
  • 3-5 years of professional experience in business intelligence, data analytics, data management, analytics engineering, or a closely related discipline.
  • Experience with Microsoft Power BI required, specifically with developing effective story telling with dashboards using advanced calculations and appropriate visualizations.
  • Strong ability to translate ambiguous or evolving business questions into scalable Power BI models and dashboards.
  • Excellent communication skills, with comfort facilitating requirements sessions and presenting insights to diverse audiences.
  • Experience in data management concepts and relational databases required, Snowflake or Microsoft Fabric experience preferred.
  • Experience in the design and implementation of automated workflows for novel or tedious work (i.e. scripts, Power Platform Tools, etc.).
  • Hands-on experience with Microsoft Fabric or a comparable modern cloud analytics platform. Candidates with experience in Snowflake, Azure, Databricks, Tableau, Qlik, or other business systems
  • Experience using Power Query, Pivot Tables and charts, advanced formulas and conditional formatting within Microsoft Excel.
  • Experience with data pipelines, APIs, automation, Power Platform, Python, R, or another scripting language is preferred.
  • Experience working with multiple types of datasets is preferred.
  • Ability to work independently…
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