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Business Intelligence Specialist
Job in
St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listed on 2025-12-19
Listing for:
The Timberline Group
Full Time
position Listed on 2025-12-19
Job specializations:
-
IT/Tech
Data Analyst, Data Engineer
Job Description & How to Apply Below
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.
:
- 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.
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