Find Senior analytics engineer Jobs in Dublin, D

Data Analytics Engineer (Payments)
Rippling —DUBLIN 2, County Dublin
- Part-time
- Computer Science
- Master's degree
- SQL
1h
EMEA Data & Digital Program Manager
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- SQL
Data Delivery Director
NTT Ltd —Dublin, County Dublin
- Hybrid work
- Continuous improvement
- Agile
- Leadership
ESG Data & Reporting Lead
Davy —Dublin, County Dublin
- Hybrid work
- SQL
- Project management
- No degree
- Employee assistance program
Quick apply
Senior Design System Designer
Guidewire Software —Dublin, County Dublin
- Full-time
- Hybrid work
- AI
Senior Process Engineer
Jacobs —Dublin, County Dublin
- Hybrid work
- Master's degree
- Bachelor's degree
- Manufacturing
Senior Software Engineer
Semperis —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Senior AWS Engineer
ResMed —Dublin, County Dublin
- Full-time
- Computer Science
- Salesforce
- DevOps
- Referral programme
Senior Manager Data Architecture and AI
Aptiv plc —Dublin, County Dublin
- Azure
- Computer Science
- Java
- Gym membership
Senior Cloud Support Engineer
Crusoe —Dublin, County Dublin
- Full-time
- Azure
- Management
- Computer Science
Quick apply
Director, Applied AI Product Manager
The Bank of New York Mellon Corporation —Dublin, County Dublin
- Full-time
- Master's degree
- Product management
- AI
12d
Senior Manager Data Science
Optum —Dublin, County Dublin
- Full-time
- Management
- Doctoral degree
- Data analysis skills
2d
Senior Field Application Engineer
Innatera Nanosystems —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Customer service
- Engineering
- Work from home
Quick apply
Lead Data Engineer
Henry Schein Ireland —Dublin, County Dublin
- Full-time
- Azure
- SQL
- AI
Manager, ServiceNow ITOM Engineer
Pfizer —Ringsend, County Dublin
- Full-time
- Management
- Computer Science
- SQL
2d
FS Technology Consulting - AI and Data - Forward Deployed AI Engineer - Manager - Dublin
EY —DUBLIN 2, County Dublin
- Full-time
- Hybrid work
- Azure
- Doctoral degree
- System design
- Gym membership
Senior Software Engineer - Core Team
Userpilot —Dublin, County Dublin
- Full-time
- Hybrid work
- System design
- AWS
- Communication skills
Quick apply
Senior Embedded Systems Design Engineer
Eaton —Dublin, County Dublin
- Computer Science
- System design
- C++
Senior Software Engineer I
LexisNexis Risk Solutions —Dublin, County Dublin
- €56,500–€94,400 a year
- Full-time
- Azure
- DevOps
- Java
Data Engineering Lead
Wibit Consulting & Services (WibitCS) —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Quick apply

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Data Analytics Engineer (Payments)

Rippling -
DUBLIN 2, County Dublin

Apply Now

Job details

Part-time
1 hour ago

Qualifications

Computer Science
React
Slack
Tableau
Master's degree
SQL
C
Bachelor's degree
Accounting
Communication skills
Python
Analytics

Full job description

About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.

Job Description

Rippling's Payments Data & Analytics team is seeking an experienced and highly skilled Analytics Engineer - Payments (Internally titled: Data Scientist - Payments) to join our rapidly expanding team. In this pivotal role, you will be responsible for designing, building, and maintaining services that automatically process vast amounts of financial data, providing comprehensive visibility into every stage of the money movement lifecycle within Rippling's payments product ecosystem.

This is an exciting opportunity to become a foundational member of the Payments Analytics team, ensuring accurate settlement between our customers, external financial institutions, and Rippling for every transaction. This is a highly cross-functional role with significant visibility, including with the executive team. You will empower the Accounting, Finance, Biz Ops, Payments, and Product teams by delivering accurate data that is critical to Rippling’s finances and essential for the correct functioning of product systems.

What you will do

Collaborate cross-functionally with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing through the Rippling payment platform.
Build full-cycle analyses using SQL, Python, or other scripting and statistical tools, and develop real-time metrics dashboards to manage key financial and operating levers of the business.
Monitor payment flows between systems, banks, processors, and inter-company accounts, perform daily account reconciliations, and follow up on any discrepancies.
React swiftly to emerging issues, summarize facts, and provide recommendations for the timely resolution of critical financial matters.
Collaborate with key stakeholders (Accounting, Compliance, Treasury, etc.) to understand business requirements and develop scalable solutions for reporting and reconciliation automation, including internal tool development and/or the implementation of third-party tools.
Develop and maintain comprehensive documentation of reconciliation processes and procedures.
Prepare and deliver data and reporting solutions supporting month-end close, regulatory & compliance reporting, and Internal and External Audit reporting.
Communicate findings and recommendations to stakeholders through clear and concise presentations and reports.

What you will need

Master’s degree or Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, Econ, Math, Business Analytics, or other related fields.
4+ years of demonstrated experience in applying analytics engineering, analysis, modeling, and/or exploratory analysis to large datasets, ideally in payments processing, quote-to-cash, or financial reporting.
Experience with data warehousing, ETL, and reporting tools (e.g. Snowflake, Tableau, dbt, Dagster).
Extensive experience with SQL and its application to all phases of the data science development process (initial analysis and model development through deployment).
Experience working with engineering, finance, and accounting teams to assess their data needs and build automated reporting pipelines.
Strong problem-solving and communication skills, with the ability to communicate findings and recommendations clearly to both technical and non-technical audiences.
Ability to interface with multiple stakeholders and senior leadership (C-suite) across the organization.
Bonus points if you have experience with general accounting principles, the general ledger close process, and regulatory compliance.

Apply Now

Refine Your Search

senior analytics engineer jobs in dublin, d

Data Analytics Engineer (Payments)

EMEA Data & Digital Program Manager

Data Delivery Director

ESG Data & Reporting Lead

Senior Design System Designer

Senior Process Engineer

Senior Software Engineer

Senior AWS Engineer

Senior Manager Data Architecture and AI

Senior Cloud Support Engineer

Director, Applied AI Product Manager

Senior Manager Data Science

Senior Field Application Engineer

Lead Data Engineer

Manager, ServiceNow ITOM Engineer

FS Technology Consulting - AI and Data - Forward Deployed AI Engineer - Manager - Dublin

Senior Software Engineer - Core Team

Senior Embedded Systems Design Engineer

Senior Software Engineer I

Data Engineering Lead

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