.Job Description Role Proficiency:Develop data-driven solutior difficult business challenges. Utilizing analytical statistical and programming skills to collect analyze and interpret large data sets with supervision. Outcomes:Work with stakeholders throughout the organization to identify opportunitir leveraging daom our customers to create models that can generate business insights Build predictive models and machine learning algorithms to analyse large amounts of information to discover trends and patterns. Mine and analyse daom company databases to drive optimization and improvement of product development marketing techniques business strategies etc Develop processes and tools to monitor and analyse model performance and data accuracy. Coordinate with differenctional teams to implement models and monitor outcomes. SST goals and proviedback ST goals of reporteesMeasures of Outcomes:Number of business processes changed due to vital analysis. Models applied to Business Problems Number of Business Intelligent Dashboards developed Number of productivity standards definr project Number of mandatory trainings completedOutputs Expected:Statistical Techniques:Create advanced algorithms and statistics using regression simulation scenario analysis modelling etc.Data Visualization:Visualize and present dar stakeholders using:Periscope Business Objects D3 ggplot etc.Management and Strategy:Oversee the activities of analyst personnel and ensures the efficient execution of their duties.Critical business insights:Mines the businesss database in search of critical business insights and communicatndings to relevant departments.Code:Create efficient and reusable code mear the improvement manipulation and analysis of data.Version Control:Manages project codebase through version control tools e.G. git bitbucket etc.Prescriptive analytics:Attempts to identify business course of action to makeCreate Reports:Creates reports depicting the trends and behaviouom the analysed dataTrain end users on new reports and dashboards.Document:Create documentatir personal work as well as performing a peer review of documentation of others' workManage knowledge:Consume and contribute to project related documents share point libraries and client universitiesStatus Reporting:Report status of tasks assignedComply with project related reporting standards and processSkill Examples:Excellent pattern recognition and predictive modelling skills nsive background in data mining and statistical analysis Expertise in machine learning techniques and creating algorithms. Analytical Skills:Ability to work with large amounts of data:Facgures and number crunching. Communication Skills:Communicate effectively with a diverse population at various organization levels with the right level of detail. Critical Thinking:Data Analysts must look at numbers trends and data and come up with new conclusions based on tndings