Data Analyst

Potentiam is a fast-growing global offshore solutions provider connecting top talent with leading UK and European businesses. With offices across South Africa, Romania, India, and Brazil, we offer international exposure, real career progression, and the opportunity to work with high-performing global teams.

We combine global opportunity with local support - giving you the chance to grow, make an impact, and build a long-term career in a business that’s scaling fast.

Global clients. Clear progression. Real opportunity.

We are an equal opportunity employer. We encourage applications from people with disabilities and will provide reasonable accommodations during the hiring process.

About Our Client

Our client helps organisations unlock value from their customer base, improve efficiency through AI, and build strong data foundations that support scalable growth. Their teams combine industry expertise with advanced AI and data capabilities to deliver solutions that simplify complexity, accelerate outcomes, and strengthen internal capabilities. They focus on end-to-end transformation, enabling businesses to design, optimise, and scale personalised customer engagement strategies that drive meaningful value for both the business and its customers.

Purpose of Role

As a Data Analyst, you will provide analytical support aligned with business needs, transforming data into meaningful insights that drive decision-making. You will work across multiple business areas, helping stakeholders understand performance, identify opportunities and improve outcomes through data-driven analysis.

Roles & Responsibilities

• Deliver end-to-end data analysis independently, from understanding the business question through to presenting insights and recommendations.
• Translate business requirements into clear analytical questions, datasets, and actionable insights
• Build, maintain, and enhance Power BI dashboards and reports for business and client stakeholders.
• Develop clear data visualisations and communicate findings effectively to non-technical audiences.
• Automate recurring reporting and analytical processes where appropriate.
• Work with large and complex datasets and investigate data discrepancies or anomalies.
• Collaborate with data engineers, consultants, product owners, business stakeholders, and clients to understand requirements and deliver analytical solutions.
• Provide recommendations based on analysis and explain the potential business impact of findings.
• Manage multiple analytical requests and prioritise deliverables according to business needs.
• Follow GDPR and responsible data-handling principles when working with sensitive or business-critical information.
• Contribute to improving reporting processes, data quality, and analytical methodologies.
• Use Python for basic to intermediate data analysis or automation where required.

Skills, Qualfications & Abilities

• 3–5 years of professional experience in data analytics, business intelligence, reporting, or a related field.
• SQL skills and experience working with relational databases.
• Good practical experience with Power BI, including dashboards, reports, visualisations and basic data modelling concepts.
• Strong data validation and reconciliation skills.
• Ability to analyse datasets independently and identify meaningful trends, patterns and anomalies.
• Ability to translate business questions into analytical approaches and actionable insights.
• Experience with reporting and process automation.
• Intermediate Python skills, particularly for data analysis or automation.
• Understanding of ETL/data pipelines and how analytical data is produced, without necessarily requiring hands-on data engineering experience.
• Basic understanding of data modelling concepts.
• Good understanding of data quality, governance, GDPR and responsible data handling.
• Degree in relevant discipline (Data Analytics, Statistics, Computer Science, or similar) or equivalent practical experience.

Data Privacy Notice

The personal information you provide during the application and recruitment process will be used solely for recruitment purposes, in accordance with our data protection policies.

For any questions regarding data processing related to HR activities, please contact Chantal Endemann at [email protected].

All data shared with third parties complies with applicable confidentiality and retention requirements.