Rob Ranieri | Commercial Analytics & Business Intelligence Leader

I help businesses make better decisions by getting everyone working from the same numbers. With 10+ years in analytics across CPG and manufacturing, I set the insights agenda, build alignment on a single source of truth, and bring AI into everyday reporting.

This portfolio shows example projects built on masked data, each with the business problem, the solution, and the outcome.

10+ years across CPG & manufacturing

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STEP 1 - Data Ingestion

The first step is connecting to raw data sources at scale.

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Sharepoint
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Microsoft Excel logo with a green color scheme and grid layout

$35M+ in estimated business impact across projects

STEP 2 - ETL Pipeline

Data is extracted, transformed, and loaded (ETL).

Flowchart of cheese production process including steps: skin milk preparation, pre-treatment, incubation, thermisation, separation, cooling, cream production, mixing, filling, and cold storage.
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AT&T logo, a lowercase white letter a and a lowercase white letter t on a blue circular background.
Green stylized mountain peaks logo on a black background

600+ actively managed users on a single platform

STEP 3 - Warehouse Storage

Cleansed data lands in a centralized cloud warehouse.

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Google Analytics icon with magnifying glass and bar chart inside a blue hexagon
3D blue bar chart with six vertical bars of varying heights

STEP 4 - Visualization & Insight

Data is surfaced through reporting tools & dashboards.

Digital tablet displaying various blue colored data charts and graphs, including bar graphs, line charts, and pie charts.
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A circular chart with 12 multicolored plus signs arranged around the circle, each linked to labels with descriptive text.
Close-up of the Adobe Creative Cloud logo with black, orange, and red geometric shapes.

The goal is never reporting for the sake of reporting. The goal is to inform decisions, enable executive alignment, and drive measurable improvements.


Putting AI to Work

The AI process at work

I bring generative AI into everyday reporting, built on governed data so leaders can trust the output. The AI presents numbers that have already been validated, then checks every slide against the source before it goes out.


Mindset

I think of myself as an interpreter. Most analytics projects don’t fail because of bad data or bad code. They fail because business and technical teams don’t share an understanding of the problem. My approach is to pinpoint the root problem, make it clear to everyone involved, and build alignment on the standards and single source of truth the business runs on.


The Data Lifecycle: My Approach

Core Business Competencies

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Sales

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Supply Chain

Marketing

Smartphone with colorful social media icons emerging from the screen, representing various social media platforms and online connectivity.

Finance

Collage of financial charts and graphs showing bullish and bearish market trends, with color schemes of blue and red to represent different market conditions.

Strategy

A maze with a red arrow going through it, ending with a downward arrow indicating a decline or decrease.

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