Job Description
- 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 Master’s in Criminology
- Experience in i2 Analyst Notebook, Ciims Online Intelligence and XDS is preferable.
- Driver’s 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
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