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Panagiotis I. Email & Phone Number

Principal Data Analyst at Loveholidats at loveholidays
Location: Greater London, England, United Kingdom 10 work roles 2 schools
1 work email found @ocado.com LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email p****@ocado.com
LinkedIn Profile matched
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Current company
Role
Principal Data Analyst at Loveholidats
Location
Greater London, England, United Kingdom
Company size

Who is Panagiotis I.? Overview

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Quick answer

Panagiotis I. is listed as Principal Data Analyst at Loveholidats at loveholidays, a company with 225 employees, based in Greater London, England, United Kingdom. AeroLeads shows a work email signal at ocado.com and a matched LinkedIn profile for Panagiotis I..

Panagiotis I. previously worked as Principal Data Analyst at Loveholidays and Lead Data Analyst at Ocado Technology. Panagiotis I. holds Master Of Science - Ms, Management Science And Marketing Analytics, 1St Class from Lancaster University.

Company email context

Email format at loveholidays

This section adds company-level context without repeating Panagiotis I.'s masked contact details.

*@ocado.com
68% confidence

AeroLeads found 1 current-domain work email signal for Panagiotis I.. Compare company email patterns before reaching out.

Profile bio

About Panagiotis I.

Panagiotis I. is a Principal Data Analyst at Loveholidats at loveholidays. He possess expertise in data mining, r, statistical modeling, blockchain, teamwork and 5 more skills. He is proficient in German and English.

Listed skills include Data Mining, R, Statistical Modeling, Blockchain, and 6 others.

Current workplace

Panagiotis I.'s current company

Company context helps verify the profile and gives searchers a useful next step.

loveholidays
Loveholidays
Principal Data Analyst at Loveholidats
london, england, united kingdom
Employees
225
AeroLeads page
10 roles

Panagiotis I. work experience

A career timeline built from the work history available for this profile.

Principal Data Analyst

Current

London Area, United Kingdom

Sep 2024 - Present

Lead Data Analyst

London, England, United Kingdom

Jan 2023 - Sep 2024

Data Analyst (Working For Beat - The Latam Arm Of Fn)

London Area, United Kingdom

Dec 2021 - Nov 2022

Data Analyst

London, United Kingdom

Jan 2020 - Dec 2021

Senior Data Analyst

Thg

Manchester, United Kingdom

Sep 2019 - Dec 2019
Team & coworkers

Colleagues at loveholidays

Other employees you can reach at loveholidays.com. View company contacts for 225 employees →

2 education records

Panagiotis I. education

Master Of Science - Ms, Management Science And Marketing Analytics, 1St Class

FAQ

Frequently asked questions about Panagiotis I.

Quick answers generated from the profile data available on this page.

What company does Panagiotis I. work for?

Panagiotis I. works for loveholidays.

What is Panagiotis I.'s role at loveholidays?

Panagiotis I. is listed as Principal Data Analyst at Loveholidats at loveholidays.

What is Panagiotis I.'s email address?

AeroLeads has found 1 work email signal at @ocado.com for Panagiotis I. at loveholidays.

Where is Panagiotis I. based?

Panagiotis I. is based in Greater London, England, United Kingdom while working with loveholidays.

What companies has Panagiotis I. worked for?

Panagiotis I. has worked for Loveholidays, Ocado Technology, Freenow, Rakuten Viber, and Thg.

Who are Panagiotis I.'s colleagues at loveholidays?

Panagiotis I.'s colleagues at loveholidays include Mika Hollenhorst, Ingo Schulz, Chloe Figueira-Domingues, Darragh Mcdonnell, and Louise (Liz) Cussans.

How can I contact Panagiotis I.?

You can use AeroLeads to view verified contact signals for Panagiotis I. at loveholidays, including work email, phone, and LinkedIn data when available.

What schools did Panagiotis I. attend?

Panagiotis I. holds Master Of Science - Ms, Management Science And Marketing Analytics, 1St Class from Lancaster University.

What skills is Panagiotis I. known for?

Panagiotis I. is listed with skills including Data Mining, R, Statistical Modeling, Blockchain, Teamwork, Team Problem Solving, Matlab, and Leadership.

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