Data Collection & Processing Gather and clean data from multiple sources, including databases, APIs, and spreadsheets. Ensure data accuracy, completeness, and consistency. Automate data collection and processing tasks where possible. Data Analysis & Interpretation Analyze large datasets to identify patterns, trends, and correlations. Use statistical techniques to interpret data and generate reports to Provide insights that support business decisions and optimize processes. Data Visualization & Reporting Create dashboards, charts, and reports using tools like Excel, Tableau, Power BI, or Python. Present findings to stakeholders in a clear and actionable manner. Develop interactive visualizations to facilitate data-driven decision-making. Database Management & Querying Work with databases (SQL, NoSQL) to extract and manipulate data. Optimize data structures for efficiency and performance. Ensure data integrity and security compliance. Business Intelligence & Decision Support Collaborate with cross-functional teams to understand data needs. Provide insights to improve operational efficiency, customer experience, and profitability. Assist in predictive analytics and machine learning initiatives when required. Continuous Improvement & Innovation Stay updated with industry trends and emerging technologies in data analytics. Recommend improvements in data collection, processing, and reporting techniques. Support automation efforts to enhance efficiency and accuracy. The suitable candidate shall have the following qualifications/attributes/skills:    Honors or Masters in Criminology Experience in i2 Analyst Notebook, Ciims Online Intelligence and XDS is preferable.  Drivers license - own transport Proficiency in SQL for data querying. Experience with data visualization tools (Tableau, Power BI, or Google Data Studio). Knowledge of programming languages like Python or R. Strong Excel skills for data manipulation and reporting, with the ability to analyze large datasets and extract meaningful insights. Strong problem-solving and critical-thinking abilities. Effective communication skills to present findings to stakeholders. Attention to detail and a data-driven mindset. Experience with cloud platforms (AWS, Google Cloud, Azure) is a plus. Familiarity with machine learning concepts and tools & understanding of business intelligence (BI) strategies. Prior experience in data analytics or business intelligence role, with statistical methods and data modelling. Clear criminal record

The Data Analyst role offers the chance to turn raw data into actionable insight, shaping decisions that influence business strategy and performance. This is a key entry point for professionals who want to establish themselves in analytics while gaining exposure to dynamic projects. The organisation values individuals who can combine technical skills with business understanding. With data now a core driver of growth and efficiency, this role gives you the opportunity to learn from senior professionals and directly impact decision-making. For ambitious analysts, the role is a stepping stone into advanced analytics, business intelligence, and strategic decision-support positions. Its a space to sharpen your technical skills while contributing to measurable outcomes.