Nice to meet you, I’m Rob Ranieri

I am currently working at Edgewell Personal Care as the Senior Manager of Data Analytics. The role is demanding and ever-changing. Every project is unique in requirements and business applications. A typical project hones my skills as a:

Data Engineer
Developing data pipelines, ETL (Extract, Transform, Load), proper data storage, processing, & refresh automation.
Data Scientist
Designing efficient data solutions, proper lineages and schema relationships, FACT vs DIM tables, & ML/AI prepping.
Data Analyst
Creating reports and visualizations, statistical analysis, communicating insights to stakeholders.

A young man with short brown hair, brown eyes, and light skin, wearing a dark suit jacket and a light-colored shirt, standing against a beige wall.

STEP 1

Data is gathered in it’s various sources

Illustration of digital data and information being filtered into a laptop, including images of gears, charts, a globe, target, shopping cart, calendar, magnifying glass, chat bubbles, and various icons representing technology and communication.

Icon of a cylinder representing a database with the text 'SQL' on it.

Sharepoint

SQL DB

Excel

STEP 2

Data goes through the ELT process

Flowchart of cheese production process including steps: skin milk preparation, pre-treatment, incubation, thermisation, separation, cooling, cream production, mixing, filling, and cold storage.

A red, three-layered, isometric geometric shape with open sides, resembling a 3D open box or a layered structure.

Databricks

Alteryx

Matillion

STEP 3

Cleansed data is stored in a warehouse

Illustration of a data server with interconnected data points showing data flow or network connection.

Google Analytics icon with magnifying glass and bar chart inside a blue hexagon

Snowflake

BigQuery

AMZ Redshift

STEP 4

Data is visualized, insights generated

Digital tablet displaying various blue colored data charts and graphs, including bar graphs, line charts, and pie charts.

A circular chart with 12 multicolored plus signs arranged around the circle, each linked to labels with descriptive text.

PowerBi

Tableau

D3

Project Mindset

I believe it is essential to understand the business-side of the project first. Many projects fail to meet deadlines because there is a divide between what the business needs and what a technical-savy person can produce. Sales, marketing, supply-chain, finance, and other operational departments have a natural disconnect in terminology with Information Technology and Data-Centric teams. One of my greatest assests is bridging that gap. Given the breadth and assortment of different assignments over the years I’ve got the experience to confidently speak to and drive meaningful actions with every aspect of a company. I like to think of myself as an interpretor: not in languages but in the ability to translate needs between technical requirements and expected business deliverables.