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Business Intelligence Specialist

The Timberline Group

Job Location:

Saint Louis, MI - USA

Monthly Salary: Not provided by the employer

Posted: 18 August 2026 (19 days ago)

Application Deadline: 15 November 2026

Vacancies: 1 Vacancy

Job Summary

MUST BE LOCAL TO THE GREATER ST. LOUIS METROPOLITAN AREA
DIRECT HIRE

As BI Specialist you will be a strategic partner who collaborates closely with business stakeholders to uncover the true story behind the data.
Requirements

3 years of experience in Business Intelligence roles with strong skills in data visualization report development and data warehousing.
Proficiency in Tableau SQL Server Reporting Services (SSRS) and SQL.
Experience in managing and maintaining a Data Warehouse and developing ETL processes.
Strong problem-solving skills and the ability to communicate complex data concepts to multiple audiences including non-technical stakeholders business leaders and users.
A passion for learning including exploring emerging technologies like Machine Learning and AI.
Ability to work independently taking ownership of analysis projects from start to finish while maintaining a strong collaborative approach.

What You Will Do:

Collaborate with users to deeply understand their business needs going beyond the surface to grasp the underlying challenges and goals.
Consult on the best analytical approaches recommending the most effective reports dashboards or data visualizations based on your insights and understanding of the business context.
Independently analyze data to answer business questions using analytical tools to explore generate insights and consult with the business based on findings.
Develop and maintain reports and dashboards in Tableau and SSRS transforming complex data sets into clear actionable insights that directly address business objectives.
Maintain the Data Warehouse ensuring data integrity optimizing data structures and supporting ongoing data needs.
Document your work keeping comprehensive records of codebases processes and changes to ensure long-term maintainability and scalability.
Explore opportunities to leverage Machine Learning (ML) and Artificial Intelligence (AI) to enhance data analysis and predictive capabilities.
Collaborate with IT and business teams ensuring that data solutions align with organizational goals and deliver measurable value.