Cognos BI Architect with Thoughspot
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cognos BI Architect with ThoughtSpot in Chicago, IL, offering a contract length of "unknown" at a pay rate of "unknown." Requires 8+ years in IBM Cognos, ThoughtSpot expertise, and strong SQL skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
June 25, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#IBM Cognos Analytics #"ETL (Extract #Transform #Load)" #REST (Representational State Transfer) #Azure #ThoughtSpot #Scala #Cloud #Data Exploration #SQL (Structured Query Language) #Data Modeling #REST API #Visualization #AWS (Amazon Web Services) #Data Engineering #BI (Business Intelligence) #GCP (Google Cloud Platform) #JavaScript
Role description
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Role: Cognos BI Architect with ThoughtSpot
Location: Chicago, IL
Job Description:
We are seeking a skilled Cognos BI Architect with hands-on experience in IBM Cognos Analytics, ThoughtSpot, and Visual SDK development. The ideal candidate will design and implement scalable BI solutions, optimize data models, and create interactive dashboards to support data-driven decision-making across the organization.
Key Responsibilities:
· Design and develop scalable BI architecture using IBM Cognos Analytics.
· Integrate and configure ThoughtSpot for self-service analytics and data exploration.
· Leverage Cognos Visual SDK to create custom visualizations and extend dashboard capabilities.
· Collaborate with data engineers, analysts, and business stakeholders to define reporting needs.
· Optimize reports and data models for performance and usability.
Required Skills:
· 8+ years of experience with IBM Cognos (Report Studio, Framework Manager, Active Reports).
· Strong experience with ThoughtSpot implementation and usage.
· Proficiency in Cognos Visual SDK or similar JavaScript-based SDKs.
· Understanding of data warehousing concepts and ETL pipelines.
· Strong SQL and data modeling skills.
Preferred:
· Experience with cloud platforms (AWS, Azure, GCP).
· Familiarity with REST APIs and embedding analytics into web apps.
