Find Technical support amazon Jobs in Dublin, D

GTM Data & Performance Analyst
Smartbox Group —Dublin, County Dublin
- Full-time
- Hybrid work
- Sales
- Data analysis skills
- SQL
Quick apply
Site Reliability Engineer, Edge Systems
Protex AI —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- AWS
- Analysis skills
6d
Cloud Platform Engineer
Grouper —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Java
- AWS
Quick apply
Tech Lead, Web Core Product & Chrome Extension - Dublin, Ireland
Speechify —Dublin, County Dublin
- Remote
- Doctoral degree
- JavaScript
- Communication skills
Senior Software Engineer, Windows/Desktop Applications - Dublin, Ireland
Speechify —Dublin, County Dublin
- Remote
- Doctoral degree
- Windows
- C++
IT OE Integration Engineer
National Broadband Ireland —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- AWS
Infrastructure Engineer, Edge & Security
Protex AI —Dublin, County Dublin
- Full-time
- Hybrid work
- Management
- Computer Science
- AWS
6d
AI Azure Architect, Manager - Data & AI
PwC —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS
Senior Security Engineer
Cubic³ —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- Windows
Marketplace Advertising Graduate
Luzern eCommerce Group —Dublin, County Dublin
- Hybrid work
- Microsoft Powerpoint
- Spanish
- Microsoft Excel
- Annual leave
- Employee assistance program
Quick apply
Salesforce Senior Developer
Citco —Dublin, County Dublin
- Full-time
- Computer Science
- Salesforce
- Bachelor's degree
Marketing Operations Manager
Photoroom —Dublin, County Dublin
- €60,000–€75,000 a year
- Full-time
- Remote
- SQL
- Analysis skills
- Marketing
- Annual leave
Site Reliability Engineer III
Guidewire Software —Dublin, County Dublin
- Full-time
- Oracle
- Computer Science
- DevOps
Enterprise Client Strategist
Protex AI —Dublin, County Dublin
- Full-time
- Hybrid work
- Sales
- Manufacturing
- AI
Engineering Manager, Infrastructure
Protex AI —Dublin, County Dublin
- Full-time
- Hybrid work
- Management
- Computer Science
- DevOps
Senior Growth Marketing
Photoroom —Dublin, County Dublin
- €70,000–€90,000 a year
- Full-time
- Remote
- Annual leave
Java Developer (AVP)
Citi —Dublin, County Dublin
- €71,440 a year
- Full-time
- Hybrid work
- Azure
- Oracle
- Java
AI Engineering Manager
Flutter Entertainment —Dublin, County Dublin
- System design
- Master's degree
- AWS
14d
Senior Site Reliability engineer
Guidewire Software —Dublin, County Dublin
- Weekend availability
- Oracle
- Computer Science
- DevOps
Power Platform Architect, Senior Manager (Data & AI)
PwC —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- AWS

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GTM Data & Performance Analyst

Smartbox Group -
Dublin, County Dublin

Quick apply

Job details

Full-time

Qualifications

French
Power BI
Business intelligence
Sales
Data analysis skills
Tableau
SQL
Analysis skills
Communication skills

Full job description

Created in 2003, Smartbox is the French and European number 1 in experience gifts, with 6.5 million boxes sold each year, around €350 million annual turnover, in a gift box market, offering the widest range of experience gifts.

For more than 20 years, we have been developing thousands of experiences to offer and an equal number of unforgettable moments to live. From the most iconic to the most unique, Smartbox's mission has always been to enable everyone to gift their loved ones the opportunity to live unique experiences covering the themes of stay, adventures, well-being and gastronomy. In the short future, we want to be the point of reference when it comes to inspire people to live experiences. We are at a tipping point in terms of innovation on our market.

The group employs 800 collaborators based across Europe. Smartbox gift boxes are sold in 10 European countries: France, Italy, Spain, Belgium, Switzerland, the Netherlands, Denmark, Sweden, Portugal and Germany. Pioneer in the sector and number 1 in most of these countries, significantly ahead of its competitors, the group relies on a network of approximately 150 partner retailers throughout Europe, i.e. 18,000 major points of, and distributes its products as well as to the websites of the various brands of the group and with online distributors such as Amazon. One of the keys to the group's success is to have built a network of 30,000 partners in Europe.

The Group has been owned since 2013 by Otium Capital, which has been able to support more than 50 start-ups and innovative companies thanks to the profits generated by the Smartbox Group. More than just a box, Smartbox has been one of the biggest success story in the industry in the last 20 years.

About Your Role:

As a GTM Data & Performance Analyst, you will support the GTM Strategy and Sales teams by producing reliable analyses, reports and dashboards that help monitor partner performance and commercial activity.

This is an execution‑focused analytical role. You will work on clearly defined topics and priorities, contribute to recurring reporting and analyses, and help ensure that commercial teams have access to accurate and consistent data to support decision‑making.

You will collaborate closely with GTM Strategy, RevOps and Sales, and interact regularly with Product, Tech and Finance to provide data inputs and insights.

Key Responsibilities

Data Analysis & Partner Performance:

Produce recurring reports and analyses on partner performance across predefined dimensions such as partner tier, product category and geography.

Monitor key performance indicators (e.g. revenue contribution, availability, catalog quality, NPS) and highlight notable variations or data issues.

Prepare structured analyses to support reviews of partner performance, under the guidance of GTM Strategy.

Support quarterly and monthly business reviews by preparing data extracts, charts and summaries.

Track sales performance against targets for Account Managers and BDMs, and prepare standard reports for review by GTM leadership.

Pricing & Commercial Analysis Support:

Support pricing and margin analyses by preparing data inputs, simulations and comparison reports.

Assist in modelling the commercial impact of predefined pricing or incentive scenarios.

Help monitor pricing consistency across markets and categories and flag anomalies to relevant stakeholders.

Provide analytical support for new commercial initiatives (e.g. new offer types or partner models), based on clearly defined scopes.

Dashboards & Reporting:

Maintain and update existing GTM dashboards used by GTM Strategy, Sales teams and country stakeholders.

Ensure data accuracy and consistency across reports and dashboards.

Implement dashboard changes and updates based on documented business requirements.

Support the adoption of dashboards by commercial teams by helping explain metrics and reports.

Marketplace & Product Data Support:

Develop a good understanding of Smartbox’s marketplace and catalog performance metrics.

Track predefined catalog health indicators and prepare reports for Product and Operations teams.

Provide data and analysis to support cross‑functional discussions on marketplace performance when requested.

Assist in compiling competitor and market data to support GTM analyses.

Requirements for the Role:

2–4 years of experience in data analysis, business intelligence or a related analytical role.

Good working knowledge of SQL and at least one BI or data visualisation tool (e.g. Tableau, Looker, Metabase, Power BI).

Basic understanding of commercial, sales or marketplace environments.

Ability to work with structured datasets and follow established analytical frameworks.

Comfortable collaborating with multiple teams (Sales, GTM Strategy, RevOps, Product, Finance).

Strong attention to detail and data quality.

Skills:

Ability to execute data analyses accurately and on time.

Structured and methodical approach to problem solving.

Ability to summarise data and findings clearly.

Good communication skills, with the ability to explain metrics and reports to non‑technical stakeholders.

Willingness to learn and develop analytical and commercial skills.

Adaptability in a dynamic business environment.

What we value:

Reliability: you deliver high‑quality analyses that teams can trust.

Curiosity: you are eager to understand the business and how data supports it.

Collaboration: you work effectively with different teams and functions.

Growth mindset: you are motivated to develop your skills and take on increasing responsibility over time.

Quick apply

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