We are seeking a detail-oriented and analytical Data Analyst to join our client’s team. The ideal candidate will be responsible for collecting, processing, and analyzing data to help drive strategic decisions. You will work closely with various departments to understand business needs and deliver actionable insights through data visualization, reporting, and predictive analysis. Job Experience & Skills Required: Bachelors Degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 3 years’ experience within the IT environment, operating as a Data Analyst Proficient in SQL and data visualization tools, such as Tableau and Power BI Experience with cloud platforms such as AWS, Google Cloud, or Azure Experience working with reports such as SSAS Experience with Python, R, or other data analysis languages is a bonus Apply now!

Job & Company Description: Im looking to connect with Data Analysts who have solid experience across data analysis, reporting, and stakeholder engagement. By partnering with me, youll be considered for multiple upcoming roles where your analytical expertise will be in high demand. Key Responsibilities: Collect, clean, and analyse data from multiple sources. Develop and maintain dashboards and reports to support business decisions. Translate business requirements into analytical solutions. Perform data validation and ensure accuracy and integrity. Identify trends, patterns, and insights to support strategic initiatives. Maintain data documentation and reporting standards. Job Experience and Skills Required: Education: Degree in Computer Science, Statistics, or related fields. Experience: 3 years experience as a Data Analyst or similar role. Strong experience with SQL for querying and analysing data. Proficiency with data visualisation tools (Power BI, Tableau, Qlik, or similar). Solid experience of data modelling and reporting concepts. Experience working with large datasets and multiple data sources. Experience with ETL processes and data integration tools. Experience working in Agile or business-focused environments. Nice to Have: Experience with Python for data analysis. Exposure to cloud data platforms (Azure, AWS). Apply now!

Join a forward-thinking analytics environment where data science is not just a support function its the engine that drives client strategy and business direction. Youll work on complex datasets, advanced statistical modelling, AI-driven automation, and scalable data systems that enable high-value insights for top-tier clients. This role gives you the freedom to apply modern methodologies, influence decision-making, and build solutions that integrate global best practice. Youll be part of a collaborative, innovation-focused team that continuously pushes the boundaries of whats possible in analytics. If you have not had any response in two weeks, please consider your application unsuccessful. Your profile will be kept on our database for any other suitable roles. For more information, contact:

Role Summary: The Data Analyst will play a pivotal role in transforming data into actionable insights that drive strategic decision-making across the organisation. This role requires a strong analytical mindset and proficiency in data visualisation. The ideal candidate will bridge the gap between data and business. Responsibilities: Develop and maintain dashboards and reports to support business operations and strategic decisions. Perform ad-hoc analysis to answer key business questions. Apply best practices in data, aggregation, and visualisation to ensure performance and scalability Support the creation of extractors and data views for integration with third-party vendors Ensure the consistency and security of shared data while maintaining traceability and compliance Collaborate with data engineers to ensure data pipelines are optimised for reporting and analytics. Ensure data quality, integrity, and governance across systems. Support data science initiatives by preparing datasets and contributing to model development. Identify opportunities to apply AI/ML to improve business processes. Work closely with business units to understand data needs and translate them into technical requirements. Present insights and recommendations to non-technical stakeholders. Identify and implement improvements in BI processes, tools, and methodologies. Qualifications: Matric and a Bachelors degree in Information Systems, Computer Science, Data Analytics, or a related field 5 years of experience in business intelligence, reporting, or data analysis Proven experience with BI tools (e.g., Power BI, Tableau, Qlik, SAP BusinessObjects BI Suite) Strong SQL skills and experience with data warehousing solutions. Familiarity with data engineering concepts (ETL pipelines, data lakes) and cloud platforms (like Azure, AWS, or GCP). Proficiency in data modelling, reporting tools, and visualisation techniques Strong SQL or Python/R skills and experience with SAP environments Understanding of data governance, quality checks, and performance optimisation Advantageous: Advanced degree (Masters or equivalent) in Data Science, Business Analytics, or related field Experience working with SAP BW/4HANA Understanding of AI/ML concepts and their application in business contexts Exposure to data science tools and languages (e.g., Python, R, Jupiter Notebooks)

Job Description: Design and architect scalable, secure systems and platform solutions Lead development of core automation, reporting and SaaS tools Build applications and APIs to support consulting, research, and reporting functions Develop and enhance SaaS products including ESG tools, economic scenario generators, and modelling modules Implement development best practices including testing, version control, and CI/CD pipelines Integrate internal systems (ALM, ESG, Tender Response, Unit Pricing) with external data sources Partner with internal stakeholders to translate business requirements into technical solutions Mentor and guide junior developers, promoting innovation and best practice Contribute to long-term systems roadmap and technology strategy Ensure systems meet governance, compliance, and data security requirement Document architecture, processes, and code for long-term maintainability Skills & Experience: 610 years experience in software development, with minimum 3 years in a senior or lead developer role Proven experience building scalable enterprise systems or SaaS platforms Strong proficiency in modern programming languages (Python, R, JavaScript/TypeScript or C#) Experience with SQL/relational and NoSQL databases (PostgreSQL, MongoDB) Experience with cloud platforms (AWS/Azure/GCP) and containerisation (Docker, Kubernetes) Exposure to investment or financial systems advantageous. Experience with reporting/data visualisation tools (Power BI, Shiny, Tableau) beneficial. Strong problem-solving and analytical capability. Ability to communicate technical concepts to non-technical teams. Proactive, adaptable, collaborative, and innovative. Ability to multitask and use initiative in a fast-paced environment. Qualification: Bachelors or Masters degree in Computer Science, Software Engineering, or related discipline.