About Us

ACE Money Transfer is a UK-based multinational company headquartered in Manchester, United Kingdom. ACE Money Transfer provides online remittance services to individuals in 29 countries across the UK, Europe, Canada, and Australia, enabling them to send money across borders to more than 100 countries.

Position Summary

We are seeking a highly analytical and business-oriented Data Analyst to join our Analytics division. This role focuses on transforming raw data into actionable insights that drive strategic decision-making across the organisation. The ideal candidate will have strong expertise in Power BI, data modelling, and translating complex datasets into intuitive dashboards and reports. A deep understanding of data relationships, visual storytelling, and a passion for enabling data-driven decision-making are essential.

Duties & Job Responsibilities

• Design and develop interactive dashboards and reports using Power BI to deliver actionable insights aligned with business objectives.
• Build robust data models in Power BI using DAX and industry best practices to enable scalable and efficient reporting.
• Analyse large and complex datasets to uncover trends, patterns, and performance indicators that inform strategic and operational decisions.
• Work closely with cross-functional stakeholders to understand business requirements and translate them into effective data solutions.
• Maintain high standards of data quality and integrity by validating data sources, ensuring accurate transformations, and monitoring refresh pipelines.
• Support the organisation's analytics capabilities by creating reusable datasets, promoting data literacy, and enabling self-service reporting for business users.
• Leverage SQL and Python for data manipulation, transformation, and automation of recurring analytics tasks.
• Apply data science techniques such as regression, classification, clustering, or forecasting to support advanced analytical use cases (preferred).

Role Relationships

Internal Stakeholders

Data Manager

• Maintain regular communication to align priorities, share progress updates, and ensure reporting standards meet organisational requirements.

Business Analysts

• Collaborate to understand business needs, translate requirements into data solutions, and generate actionable insights.

Data Engineers

• Coordinate data integration, migration, and transformation activities to support effective data operations.

IT Team

• Work closely to ensure seamless access to data infrastructure, resolve technical issues, and maintain security protocols.

External Stakeholders Coordination:

Vendors

• Engage with external vendors, including Power BI support teams, for technical assistance, optimisation, and system enhancements.

Training Providers

• Coordinate with external training partners for professional development, certifications, and upskilling in relevant tools and technologies.

Knowledge & Experience

Education

• Bachelor's degree in Computer Science, Finance, Data Analytics, or a related field.

Experience

• 2–3 years of relevant experience in data analytics, business intelligence, or a related field.

Behavioural Skills

Problem-Solving Skills

• Ability to analyse challenges logically and develop effective, data-driven solutions.
   
• Willingness to embrace change, learn new technologies, and adopt improved processes.

Collaboration

• Strong team player with the ability to build positive working relationships across departments.

Communication

• Ability to communicate complex data insights clearly and effectively through written and verbal communication.

Core Competencies

Power BI Expertise

• Proficiency in developing impactful dashboards, reports, data models, and visualisations using DAX and Power BI best practices.
• Ability to transform business requirements into meaningful business intelligence solutions.

Data Analysis & Insight Generation

• Strong analytical skills to interpret large and complex datasets.
• Ability to convert data into actionable insights that support strategic decision-making.

Data Modelling

• Experience designing efficient, scalable, and performance-focused data models for business intelligence environments.

Programming Skills

• Proficiency in Python, SQL, and scripting for data manipulation, automation, and analysis.

Cloud Computing

• Knowledge of cloud platforms, particularly AWS, for data storage, processing, and analytics solutions.

Automation

• Hands-on experience with Power Automate to streamline workflows and automate repetitive tasks.

Data Science Foundations (Preferred)

• Exposure to data science techniques such as regression, clustering, forecasting, and predictive analytics to support advanced insights.

ACE Money Transfer Profile: https://acemoneytransfer.com/company-profile