Business Intelligence Consultant

Professional Summary

We are seeking a Dynamic and Results-Oriented BI Pre-Sales Consultant to join our team. The ideal candidate brings strong expertise in business intelligence, data visualization, analytics, and solution storytelling , with the ability to effectively bridge the gap between business and technical teams.

You will play a key role in identifying customer needs, designing impactful demo environments, delivering engaging presentations , and supporting our sales cycle with high-quality proof-of-concepts (POCs). If you're passionate about transforming business challenges into analytical solutions that deliver measurable value, we want to meet you.

Key Responsibilities

• Conduct in-depth discovery meetings to analyze customer business challenges and data needs.
• Design and deliver tailored BI demos, storyboards, and POCs that highlight product capabilities and key differentiators.
• Build high-quality data models, dashboards, and interactive analytics apps using Qlik, Power BI, Tableau, Looker, or similar tools.
• Support the full pre-sales process , including technical Q&A, RFP/RFI responses, and solution positioning.
• Deliver compelling presentations, workshops, and training sessions for both executive and technical stakeholders.
• Collaborate with cross-functional teams on solution design, architecture, and integrations with external systems.
• Provide competitive insights and positioning against BI competitors (Qlik, Power BI, Tableau, Looker, etc.).
• Act as a trusted advisor by articulating complex data concepts in a clear, actionable, and persuasive manner.

Professional Experience (Template)

Pre-Sales Consultant

Core Competencies:

• BI Development (data modeling, scripting, UI/UX design)
• Pre-sales activities: demos, POCs, RFP responses, discovery workshops
• Data Visualization Best Practices
• Solution Architecture & Storytelling
• ETL and Data Integration
• Business Requirements Analysis
• Customer Engagement & Relationship Management
• Presentation & Communication Skills
• Competitive Analysis & Positioning
• Cloud Deployments & SaaS Environments

Education & Certifications

• Bachelor’s/Master’s Degree in Engineering, Computer Science, MIS, or related field
• Qlik Sense Data Architect Certification (optional)
• Qlik Sense Business Analyst Certification
• Additional certifications: SQL, Python, cloud platforms (Azure/AWS), data modeling

Technical Skills

• Qlik Technologies : Qlik Sense, QlikView, Power BI, Tableau, Looker, NPrinting
• Databases : SQL Server, Oracle, PostgreSQL, MySQL
• Tools : REST APIs, ETL tools, SAP connectors, Excel
• Programming : SQL (strong), Python (basic/intermediate)
• Cloud : Azure, AWS (preferred)
• Visualization : best practices, data storytelling