Data Analyst / Analytics Engineer

talanoa; Dublin; Remote; EUR 60,000 - 90,000; Full time

Job summary

talanoa is seeking a hands-on Data Analyst / Analytics Engineer to maintain and enhance an existing data platform, delivering reliable insights for Product, Marketing, Finance and Compliance. You will work with SQL, Python and Tableau to optimise pipelines and dashboards in a remote-first, international team.

You'll partner with Finance for reporting accuracy and with Product/Marketing to improve customer experiences and engagement, while exploring AI-driven automation to streamline workflows

Qualifications

• Hands-on data analytics or analytics engineering experience.
• Strong SQL and Python.
• Experience with data warehouses and ETL/ELT processes.
• Familiarity with Tableau or similar BI tools.
• Interest in automation and AI to improve workflows.

Responsibilities

• Maintain, optimise and improve existing data pipelines, models and reporting infrastructure.
• Develop and maintain dashboards, reports and analytical solutions using SQL, Python, Tableau and related tools.
• Work closely with Finance to support financial reporting, transaction analysis and data accuracy.
• Partner with Product and Marketing to analyze customer behaviour and opportunities to improve the customer experience.
• Identify opportunities to automate reporting, data processing and analytical workflows, including AI tool applications.
• Ensure data quality, consistency and accessibility across business functions.
• Translate business requirements into effective technical solutions and actionable insights.
• Collaborate with engineering to improve the data environment.

Skills

SQL

Python

Data analysis

Stakeholder communication

Tools

Tableau

dbt

AWS Redshift

ETL/ELT

Job description

We're supporting an established European fintech business operating in the international payments and financial services space, as they look to strengthen their data analytics capabilities.

The company has an existing data architecture and infrastructure in place and is now looking for a hands-on Data Analyst / Analytics Engineer to take ownership of its ongoing maintenance, optimisation and development.

This is not a role focused on building a data platform from scratch. Instead, you'll be working with established systems, improving data processes, introducing automation and helping different business functions make better decisions through reliable, actionable insights.

Reporting into the Technology team, you'll work closely with stakeholders across Product, Marketing, Finance and Compliance.

What You'll Be Doing

• Maintain, optimise and improve existing data pipelines, models and reporting infrastructure.
• Develop and maintain dashboards, reports and analytical solutions using SQL, Python, Tableau and related tools.
• Work closely with Finance to support financial reporting, transaction analysis, reconciliation processes and data accuracy.
• Partner with Product and Marketing to analyse customer behaviour, conversion, engagement and opportunities to improve the customer experience.
• Identify opportunities to automate reporting, data processing and analytical workflows, including the practical application of AI tools.
• Ensure data quality, consistency and accessibility across business functions.
• Translate business requirements into effective technical solutions and actionable insights.
• Collaborate with engineering colleagues to continuously improve the existing data environment.

What We're Looking For

• Solid hands-on experience in data analytics, business intelligence or analytics engineering.
• Strong SQL skills and practical experience with Python.
• Experience working with data warehouses, ETL/ELT processes and data modelling.
• Experience with Tableau or similar BI and visualisation tools.
• Familiarity with modern analytics tools such as dbt, AWS Redshift or comparable technologies.
• Demonstrable experience working alongside Finance or Accounting teams, with an understanding of financial data, transaction flows and reporting requirements.
• An interest in automation and practical experience using AI or other technologies to improve workflows.
• Ability to work independently, manage competing priorities and communicate effectively with both technical and non-technical stakeholders.

Nice to Have

• Experience in fintech, payments, banking or financial services.
• Exposure to product analytics, customer journeys, conversion funnels or marketing analytics.
• Experience working across multiple client projects, particularly within a consultancy or software development company.
• Familiarity with cloud infrastructure and data pipeline monitoring.

Why Consider This Opportunity?

• Established infrastructure: Build upon and improve an existing data platform rather than starting from zero.
• Real business impact: Your work will directly support product decisions, customer experience and financial operations.
• AI and automation: Opportunity to introduce new tools and smarter ways of working.
• Remote-first flexibility: Join a distributed European technology team.
• Flexible engagement: Open to permanent employees, independent contractors, fixed-term arrangements and potentially part-time consultants.
• Evolving role: Join a business undergoing transformation, with scope to influence how its analytics capabilities develop.