Hi, I'm
Hi, I'm
Michael Bellamy
Michael Bellamy
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I help organizations design scalable analytics frameworks, create self-service BI solutions, and drive data-informed decision-making.
I help organizations design scalable analytics frameworks, create self-service BI solutions, and drive data-informed decision-making.
My work sits at the intersection of analytics strategy, enablement, and execution, helping organizations replace ad-hoc reporting with governed, scalable systems that teams can trust and sustain.
What I Do
What I Do
I partner with organizations to design and implement analytics systems that:
Modernize enterprise BI and reporting environments
Design and implement self-service analytics frameworks
Automate regulatory, compliance, and operational reporting
Establish governance, standards, and scalable analytics practices
Enable teams to confidently use data without increasing analyst dependency
My work focuses on impact, sustainability, and adoption, not just dashboards.
Current Role & Leadership
Current Role & Leadership
I am currently a Solutions Consultant at The Information Lab US, delivering analytics solutions across Tableau, Alteryx, cloud data platforms, and SQL-based environments.
In addition to client delivery, I serve as a Team Lead for consultants on placement, providing technical mentorship and delivery guidance to support high-quality execution across client engagements.
I also support:
Solution engineering and proof-of-concept development
Client demos and value assessments
Community education, workshops, and thought leadership initiatives
Experience Snapshot
Experience Snapshot
My experience spans enterprise, nonprofit, and advisory environments, where I design analytics systems that scale, support governance, and drive long-term adoption.
Across these environments, my work has resulted in:
Hundreds of hours saved annually through automated regulatory, compliance, and operational reporting pipelines
Seven-figure net present value (NPV) delivered by replacing manual Excel- and text-based reporting with governed self-service analytics frameworks
20–25% reduction in analytics backlog by shifting repeat reporting requests into scalable, self-service solutions
Enterprise-wide visibility into organizational OKRs and performance metrics through standardized pipelines and reporting structures
Improved data literacy and sustained adoption through client training and enablement sessions, equipping teams to confidently use analytics frameworks rather than rely on one-off deliverables
These outcomes reflect a consistent focus on building analytics capabilities that persist beyond initial delivery.
How I Approach Analytics
How I Approach Analytics
I approach analytics through frameworks rather than individual deliverables.
My focus is on designing repeatable structures that guide how data is requested, built, governed, and used.
My approach typically includes:
Decision-first framing
Starting with the business decision, audience, and cadence before defining metrics or visuals.
Framework-led design
Using standardized patterns for self-service analytics, KPI definition, and reporting workflows to ensure consistency and scalability.
Project management embedded in delivery
Clear scoping, phased execution, stakeholder checkpoints, and defined success criteria are built into delivery from the outset.
Governance by design
Permissions, documentation, ownership, and refresh logic are considered from the outset to reduce rework (tech debt) and risk.
Enablement over handoff
Teams are equipped with context, structure, and guidance so solutions remain valuable beyond initial delivery.
This approach allows analytics efforts to scale without increasing complexity or dependency on individual contributors.
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