Senior BI & Data Analytics Consultant - Enterprise Platforms

Position - Senior BI & Data Analytics Consultant – Enterprise Platforms

Location - Ridgefield, CT

Duration - Long-term

Role Overview

Quantum Integrators is seeking an experienced, hands-on Senior BI & Data Analytics Consultant to support a large enterprise customer's Business Intelligence and Analytics platform ecosystem.

The ideal candidate will combine strong technical expertise in Microsoft Power BI and Tableau , a working understanding of modern data engineering and cloud data platforms, and the ability to engage confidently with business stakeholders, IT leadership, platform teams, and enterprise architects.

We are looking for a technically credible consultant who can resolve operational challenges, contribute to platform modernization, connect business requirements with technology solutions, and proactively identify opportunities to improve the customer's analytics landscape.

The consultant will serve as a trusted, on-site representative of Quantum Integrators, helping strengthen customer relationships through technical delivery, proactive problem-solving, and consultative engagement.

Key Responsibilities

1. BI Platform Engineering, Administration & Observability (Primary Focus – 40%)

• Provide hands-on technical support, administration, and optimization for enterprise Power BI and Tableau environments.
• Assess platform health, performance, capacity utilization, refresh reliability, and scalability.
• Implement or improve observability capabilities, including monitoring, alerting, diagnostics, and operational dashboards.
• Troubleshoot performance bottlenecks, connectivity issues, data refresh failures, and platform incidents.
• Support workspace/site management, access controls, governance, deployment, and licensing considerations.
• Recommend improvements in platform reliability, operational efficiency, automation, and user experience.
• Collaborate with internal teams on Tableau Cloud migration planning and execution.

2. Data Engineering & Modern Data Platform Integration (25%)

• Participate in technical discussions involving enterprise data architecture, data pipelines, and cloud data platforms.
• Understand upstream data flows and dependencies affecting BI reporting, performance, and data quality.
• Work with data engineering teams to diagnose data integration, transformation, and reporting issues.
• Contribute to architecture discussions involving Microsoft Fabric, Azure Data Services, AWS Redshift, Databricks, and SAP data sources.
• Demonstrate practical knowledge of SQL, data modeling, ETL/ELT concepts, and data pipeline orchestration.
• Understand enterprise data governance concepts, including metadata management, lineage, access controls, and data quality.
• Help bridge the gap between data engineering, analytics platform teams, and business consumers.

3. Analytics Modernization & AI Enablement (15%)

• Support the evaluation and adoption of emerging analytics capabilities across Power BI, Tableau, and Microsoft Fabric.
• Participate in platform modernization initiatives, proof-of-concepts, and cloud migration discussions.
• Explore practical applications of AI-assisted analytics, including Power BI Copilot and Tableau Agent.
• Recommend opportunities for automation, self-service analytics, and improved data consumption.
• Contribute to technical workshops, solution demonstrations, and knowledge-sharing sessions.

4. Stakeholder Engagement & Consultative Problem-Solving (20%)

• Build strong working relationships with business users, platform owners, data engineers, architects, and IT leadership.
• Understand business objectives and translate them into actionable technology improvements.
• Proactively identify recurring issues, unmet needs, technical dependencies, and improvement opportunities.
• Connect related challenges across analytics, data engineering, governance, and cloud platforms.
• Facilitate technical discussions and articulate recommendations to both technical and non-technical audiences.
• Demonstrate ownership, sound judgment, and the ability to navigate complex enterprise environments.
• Collaborate with Quantum Integrators' architecture and delivery teams to develop recommendations and solution approaches for emerging customer needs.
• Maintain a strong customer-service mindset while ensuring clear communication and delivery accountability.

Required Technical Skills

Must Have

• 8+ years of experience in BI, Analytics, Data Platforms, or related enterprise technology roles.
• Strong hands-on experience with both Power BI and Tableau , including administration, troubleshooting, and performance optimization.
• Experience with Power BI Service, semantic models, DAX, Power Query, refresh management, and capacity monitoring.
• Experience with Tableau Server and/or Tableau Cloud, including administration, permissions, extracts, performance monitoring, and troubleshooting.
• Strong SQL skills and understanding of relational data models, dimensional modeling, and data warehousing.
• Working knowledge of Microsoft Fabric, Azure data services, or comparable modern data platforms.
• Familiarity with enterprise ETL/ELT pipelines and integration architectures.
• Experience working in complex, multi-team enterprise IT environments.
• Excellent communication, analytical thinking, and stakeholder management skills.

Good to Have

• Microsoft Fabric capacity administration, monitoring, and optimization.
• Tableau Server-to-Cloud migration experience.
• Exposure to AI-powered analytics, including Tableau Agent and Power BI Copilot.
• Experience in regulated industries such as pharmaceuticals or life sciences.

Consulting & Behavioral Competencies

We place particular emphasis on candidates who demonstrate:

• Technical credibility: Able to independently investigate and resolve complex technical problems.
• Enterprise awareness: Understand how BI platforms connect with data engineering, governance, infrastructure, and business operations.
• Relationship intelligence: Build trust across different organizational levels and navigate stakeholder dynamics effectively.
• Consultative thinking: Go beyond resolving tickets to understand root causes and recommend sustainable improvements.
• Commercial awareness: Recognize opportunities where additional expertise or solutions can deliver measurable customer value.
• Communication: Explain technical topics clearly, ask insightful questions, and influence stakeholders constructively.