Find Data analyst, grade 8 data analytics ref Jobs in Dublin 8, D

Data Analytics Engineer (Payments)
Rippling —DUBLIN 2, County Dublin
- Part-time
- Computer Science
- Master's degree
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Financial & Regulatory Reporting Senior Analyst
U.S. Bank National Association —Dublin, County Dublin
- €56,100–€66,000 a year
- Full-time
- Microsoft Excel
- Microsoft Office
- Accounting
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Risk Analyst
Turner & Townsend —Dublin, County Dublin
- Full-time
- Engineering
- Bachelor's degree
- Annual leave
Quick apply
EMEA Sales Planning Analyst
Google —Dublin, County Dublin
- €94,000–€96,500 a year
- Full-time
- Sales
- Salesforce
- Data analysis skills
5d
Senior Business Analyst
PwC —Dublin, County Dublin
- Full-time
- Continuous improvement
- Organisational skills
- AI
Senior Operational Analyst (18 month fixed term contract)
Eirgrid —Dublin, County Dublin
- SQL
- Presentation skills
- Communication skills
Quick apply
13d
Enterprise Brand and Go-to-Market Planning Senior Marketing Analyst
Citi —Dublin, County Dublin
- €65,600 a year
- Full-time
- Hybrid work
- Marketing
- Data analysis skills
- Bachelor's degree
6d
ServiceNOW Configuration Analyst
Elwood Roberts —Dublin, County Dublin
- €250–€300 a day
- Full-time
- Data analysis skills
- Project management
- IT
Quick apply
Senior Business Analyst - Transfer Agency
Expleo —Dublin, County Dublin
- Microsoft Powerpoint
- Microsoft Excel
- Project management
8d
Analyst, Enterprise Security Risk Management
Kroll —Dublin, County Dublin
- Weekend availability
- Microsoft Office
- Analysis skills
VIE - Junior Risk Analyst - Dublin - H/F
BNP Paribas —Dublin, County Dublin
- Full-time
Risk Analyst
Apex Group —Dublin, County Dublin
- Full-time
- Communication skills
Lead/Senior Microsoft Fabric BI Architect - contract
TEKenable —Dublin, County Dublin
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
AI & Data - AI Analyst - Senior Consultant
EY —DUBLIN 2, County Dublin
AI & Data - Analytics Delivery - Senior Manager
EY —DUBLIN 2, County Dublin
Senior Marketing Analyst
Ante Technologies —Dublin, County Dublin
- English
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FICO Business Analyst
Uniphar PLC —DUBLIN 24, County Dublin
- Full-time
- Communication skills
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Senior Product Analyst
Gong.io —Dublin, County Dublin
- Hybrid work
- Microsoft Excel
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Data Analytics Engineer (Payments)
Rippling —DUBLIN 2, County Dublin
Collaborate cross-functionally with engineering, accounting, financial partnerships, and product teams to analyze and account for billions of dollars flowing…
2h
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As a Data & AI Consultant, you will work alongside clients across diverse sectors, using your technical, analytical and consulting skills to deliver practical…

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Data Analytics Engineer (Payments)

Rippling -
DUBLIN 2, County Dublin

Apply Now

Job details

Part-time
2 hours 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

data analyst, grade 8 data analytics ref jobs in dublin 8, d

Data Analytics Engineer (Payments)

Financial & Regulatory Reporting Senior Analyst

Risk Analyst

EMEA Sales Planning Analyst

Senior Business Analyst

Senior Operational Analyst (18 month fixed term contract)

Enterprise Brand and Go-to-Market Planning Senior Marketing Analyst

ServiceNOW Configuration Analyst

Senior Business Analyst - Transfer Agency

Analyst, Enterprise Security Risk Management

VIE - Junior Risk Analyst - Dublin - H/F

Risk Analyst

Lead/Senior Microsoft Fabric BI Architect - contract

AI & Data - AI Analyst - Senior Consultant

AI & Data - Analytics Delivery - Senior Manager

Senior Marketing Analyst

FICO Business Analyst

Senior Product Analyst

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