Jobs · Analyst

Senior Manager of Business Intelligence and Analytics

Optimas Solutions · Wood Dale, IL · 1 wk ago
AnalystFull-time

Position Overview

The Senior Manager, Business Intelligence & Analytics is a critical leadership role responsible for shaping and delivering the organization’s data and analytics capabilities. This role serves as both a strategic leader and hands-on practitioner, driving the development of scalable BI solutions while actively contributing to data modeling, reporting, and analytics execution.

Key Responsibilities

  • Lead, mentor, and develop a centralized BI team (analysts, developers, engineers), fostering a high-performance and accountable culture

  • Define and execute a scalable BI and analytics roadmap aligned to business priorities

  • Establish and enforce BI governance, standards, and best practices across data, reporting, and analytics

  • Act as a trusted advisor to executive leadership, identifying opportunities to drive value through data

  • Champion a data-driven culture, improving data literacy and adoption across the organization

  • Build and govern a Tableau super user community, driving consistency and best practices

  • Write and optimize complex T-SQL queries and support performance tuning efforts

  • Partner closely with data engineering and IT to design and improve ETL pipelines and data integration processes

  • Influence the design and evolution of an AI-ready data warehouse architecture

  • Troubleshoot and resolve complex data and performance issues as needed

  • Establish visualization standards, KPI definitions, and usability best practices

  • Deliver intuitive, high-impact dashboards that translate data into clear, actionable insights

  • Balance self-service enablement with strong governance and data accuracy controls

  • Optimize dashboard performance and user experience

  • Serve as the primary liaison between BI and business functions (Finance, Operations, Sales, etc.)

  • Translate business needs into scalable technical solutions and analytics products

  • Present insights, storytelling, and recommendations to senior leadership

  • Manage and prioritize competing BI initiatives across functions with clarity and transparency

  • Build strong cross-functional relationships to ensure alignment and adoption

  • Establish SLAs and performance metrics for BI delivery and support

  • Lead project planning, prioritization, and execution (Agile or hybrid methods)

  • Ensure on-time, high-quality delivery of BI initiatives

  • Continuously measure and improve BI adoption, user satisfaction, and business impact

Qualifications

  • Bachelor’s degree in Information Systems, Data Analytics, Computer Science, business, or related field

  • 8–12+ years of experience in business intelligence, analytics, data engineering, or related disciplines

  • 4–6+ years of leadership experience, preferably within a centralized BI or shared services model

  • Proven ability to balance hands-on technical work with strategic leadership in a resource-constrained environment

  • Deep expertise in Microsoft SQL Server (on-prem), including:

    • Advanced T-SQL development
    • Data modeling and schema design
    • Query optimization and performance tuning
  • Strong hands-on experience with Tableau (or similar BI tools), including dashboard development (server experience a plus)

  • Strong understanding of:

    • Data warehousing concepts (star schema, ETL, data marts)
    • Data structuring and transformation techniques
  • Demonstrated business acumen and ability to align analytics to operational and financial KPIs

  • Exceptional communication, prioritization, and stakeholder management skills

Preferred Experience

  • With Tableau Server administration

  • Familiarity with data governance frameworks and data quality tools

  • Exposure to legacy and modern BI environments (hybrid ecosystems)

  • Experience scaling BI functions in mid-to-large organizations

  • Prior use of NetSuite

Success Metrics

  • Adoption and usage of BI tools and dashboards

  • Data accuracy and reporting reliability

  • Time-to-delivery for BI requests

  • Stakeholder satisfaction and engagement

  • Performance and scalability of BI solutions

  • BI team development and growth

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