About Us

We are a professional service and consulting organisation with a track record of helping businesses with their IT needs. We take a Strategy First, Technology Next approach to helping businesses solve complex and vexing issues. We partner with industry leaders including Cisco, Dell, Microsoft, and RingCentral. We provide part-time CIO services, who actively work with shareholders in driving value and progressing digital transformation initiatives through to putting bots in action to automate repetitive and boring work. We work alongside clients to design, execute, and manage innovative strategies that deliver results.

About the Role

We are seeking a detail-oriented Data Analyst to join our team. You will convert data into actionable insights and support data-driven decision-making with business stakeholders. You will handle reporting, dashboard building, data analysis and quality improvement for various client projects. Collaborate with our consultants, engineers and industry partners to deliver reliable analytics and effective business intelligence solutions.

Key Responsibilities

1. Partner with stakeholders across client and internal teams to gather, analyse, and

interpret business and IT data requirements.

2. Build and maintain Power BI dashboards, reports and visualisations to track client

KPIs, project performance and digital transformation progress.

3. Conduct end-to-end data analysis to identify trends, anomalies and opportunities,

delivering actionable insights for strategic decision-making.

4. Ensure data accuracy through validation, reconciliation and quality checks across

structured/semi-structured datasets from multiple sources.

5. Collaborate with consultants, engineers and key partners to support analytics

solutions for client engagements.

6. Translate technical findings into clear recommendations, and prepare

presentations/reports for both technical and non-technical stakeholders.

7. Support data modelling, documentation of data definitions ensure data is

structured for effective analysis.

8. Contribute to continuous improvement of analytics standards, templates and

delivery practices, while ensuring compliance with data governance and ethical

use requirements.

9. Analyse operational data to identify opportunities for efficiency improvements.

Requirements

1. Bachelor degree in Information Technology, Computer Science, Data Science and

Engineering or a related field is required. Masters in these areas will be highly

regarded.

2. Practical experience in data analysis, including proficiency in Python or R for data

cleaning, analysis and reporting through coursework, projects, internships, or

employment.

3. Experience in building reports and dashboards using Power BI or similar BI tools.

4. Ability to gather, analyse and interpret business and IT requirements from

stakeholders across client and internal teams.

5. Experience or demonstrated ability in ensuring data accuracy through validation,

reconciliation and quality checks across multiple data sources.

6. Excellent English communication skills, with the ability to translate technical

findings into clear business recommendations.

7. Strong analytical thinking, attention to detail and problem-solving skills, with the

ability to communicate findings clearly in team or client-oriented settings.

8. Ability to manage multiple priorities in academic, internship, or project-based

environment.