Business Solutions Specialist

Jobtailor; Dublin; On-site; EUR 55,000 - 75,000; Full time

Job summary

Jobtailor is seeking a data analytics professional to identify manual processes, transform raw data into usable datasets, and build dashboards with Tableau and Power BI.

You will use SQL and Python to query, validate data, produce KPIs and reports, and help automate risk workflows, while ensuring data governance and SOX compliance in a fast-paced environment. Strong collaboration with senior analysts and stakeholders is essential.

Qualifications

• Bachelor's degree in a quantitative field or equivalent experience.
• Experience in Finance, Risk Operations, Data Analytics, BI, or similar environments.
• Basic SQL and relational databases knowledge.
• Foundational Python (Pandas/NumPy) or scripting experience.
• Familiarity with Tableau or Power BI for visualization.
• Strong analytical and problem-solving skills.
• Attention to detail with data discrepancies.
• Strong written and verbal communication skills.
• Collaborative and self-motivated attitude.
• Ability to adapt in a fast-paced environment.
• Understanding of SOX or similar regulatory frameworks.
• Experience turning manual processes into automated workflows.
• Exposure to RPA platforms (UiPath/Power Automate).
• Exposure to Generative AI and LLM applications.
• Knowledge of WEX systems and processes

Responsibilities

• Identify manual processes and bottlenecks and help create automated, self-service solutions.
• Clean, organize and transform raw data into structured datasets.
• Develop and maintain dashboards and reporting using Tableau and Power BI.
• Use SQL to query, analyse and validate data.
• Use Python for data manipulation and analysis.
• Produce and maintain operational reporting, KPIs and dashboards.
• Analyze data to identify trends, discrepancies and risks.
• Support automation of financial risk workflows.
• Identify opportunities to leverage AI and automation to reduce manual work.
• Monitor automated tools and troubleshoot issues.
• Support process improvement across Global Risk Operations.
• Create and maintain reporting and SOP documentation.
• Ensure reporting meets data integrity and governance standards.
• Collaborate with senior analysts and stakeholders to scale self-service solutions.

Skills

SQL

Python

Tableau

Power BI

Data Analysis

Education

Bachelor's degree in quantitative field

Tools

Pandas

NumPy

UiPath

Power Automate

Generative AI

Job description

• Support the identification of manual processes and operational bottlenecks and help develop automated and self-service solutions
• Clean, organise and transform raw data into structured and usable data sets
• Support the development and maintenance of dashboards and reporting using Tableau and Power BI
• Use SQL and relational databases to query, analyse and validate data
• Use Python and other scripting tools to support data manipulation and analysis
• Produce and maintain operational reporting, KPIs and management dashboards
• Analyse data to identify trends, discrepancies and emerging operational risks
• Support the automation and modernisation of existing financial risk workflows
• Help identify opportunities to use AI, Generative AI and automation technologies to reduce manual activity
• Monitor automated and self-service tools, identifying and troubleshooting errors when required
• Support process improvement and re-engineering initiatives across Global Risk Operations
• Create and maintain documentation and standard operating procedures for reporting and automated processes
• Ensure reporting and data processes meet WEX's data integrity, governance, audit and compliance standards
• Work closely with senior analysts and key stakeholders to identify opportunities to reduce manual processes, improve reporting and develop scalable, self-service solutions

Requirements

• Bachelor's degree in a quantitative field such as Computer Science, Data Analytics, Finance, Mathematics or a related discipline, or an equivalent combination of education and relevant technical experience
• Previous experience within Finance, Risk Operations, Data Analytics, Business Intelligence or a similar environment
• Basic working knowledge of SQL and relational databases
• Foundational knowledge of Python, including Pandas and/or NumPy, or similar scripting experience
• Familiarity with data visualisation tools such as Tableau or Power BI
• Strong analytical and logical problem-solving skills
• Excellent attention to detail with the ability to identify and flag data discrepancies
• Strong written and verbal communication skills
• A collaborative, self-motivated and results-driven approach
• Ability to work effectively and adapt within a fast-paced environment
• Understanding of SOX or similar regulatory frameworks
• Academic, internship or professional experience converting manual processes into automated workflows
• Exposure to RPA platforms such as UiPath or Power Automate
• Exposure to Generative AI, prompt engineering or LLM applications
• Knowledge of WEX systems and business processes

Core Competencies

Demonstrates expertise in data analysis, automation, and reporting, utilizing SQL, Python, and data visualization tools like Tableau and Power BI. Capable of identifying operational inefficiencies and implementing self-service solutions while ensuring compliance with data integrity and governance standards.

Highest-signal resume keywords

• SQL
• Python
• Tableau
• Power BI
• Data Analysis

ATS Optimization Keywords

Hard Skills

• Data Transformation
• Data Cleaning
• Data Validation
• KPI Reporting
• Operational Reporting
• Process Improvement
• Automation
• Data Discrepancy Identification
• Financial Risk Workflows
• Regulatory Compliance

Soft Skills

• Analytical Skills
• Problem-Solving
• Attention to Detail
• Communication
• Collaboration

Industry Keywords

• Finance
• Risk Operations
• Data Analytics
• Business Intelligence
• SOX Compliance

Tools & Technologies

• Relational Databases
• Pandas
• NumPy
• UiPath
• Power Automate
• Generative AI