JOB PURPOSE The Senior Analyst \- Data Analytics is responsible for utilizing advanced techniques and technologies to derive insights from complex datasets and promote data\-driven decision\-making within the organization. This role is crucial for designing and implementing data analytics models, algorithms, and dashboards that monitor Key Performance Indicators (KPIs) and support proactive decision\-making. By keeping up with the latest trends and emerging technologies in data analytics, the Senior Analyst will enhance the organization's analytical capabilities, improve data\-driven strategies, and help achieve strategic objectives. KEY ACCOUNTABILITIES* Conduct data analysis to identify trends, patterns, and correlations. * Develop and implement data analytics models, algorithms, and dashboards to track and monitor key performance indicators (KPIs). * Collaborate with stakeholders to understand business requirements and translate them into data analytics projects. * Perform statistical analysis and data modeling to develop predictive and prescriptive analytics solutions. * Prepare and present reports, visualizations, and recommendations to stakeholders. * Assist in data quality assurance activities, including data cleansing and validation. * Support the implementation and maintenance of data analytics tools and platforms. * Stay up to date with industry trends and emerging technologies in data analytics to recommend innovative solutions. * Collaborate with cross\-functional teams to integrate data analytics into business processes and decision\-making. * Adhere to data security, privacy, and compliance policies and regulations. **Technical Responsibilities:** * Proficiency in data analysis tools and software such as Power BI, SQL, Python, R, and Tableau. * Strong knowledge of statistical analysis methods, data visualization techniques, and data mining concepts. * Familiarity with data manipulation and transformation techniques. * Understanding of basic machine learning algorithms and their application in data analytics. * Ability to work with large datasets and perform data cleansing and manipulation. EDUCATION \& EXPERIENCE* Bachelor's degree in a relevant field such as Data Science, Statistics, Mathematics, or Computer Science. * Proven experience of at least 2 years in data analytics or a related field * Strong analytical and problem\-solving skills, with the ability to derive insights from complex data sets. * Proficient in data analysis tools and programming languages. * Excellent communication and presentation skills.