Job Description
Responsibilities
Contribute to the design and implementation of Population, Gender, and Diversity Statistics policies and procedures covering all areas of activity
Supervise day-to-day activities to ensure compliance with stipulated policies and procedures
Identify opportunities for continuous improvement of systems and processes taking into account leading practices, changes in business environment, cost reduction and productivity improvement
Establish working relationships with relevant internal and external stakeholders
Collect feedback from internal and external stakeholders on issues being faced and other requirements
Contribute to the preparation of progress reports directed to all relevant stakeholders to keep them informed of progress
Actively gain exposure and insights to local market development, business opportunities and the existing regulatory landscape
Actively participate in on-the-job training, mentoring, and coaching of subordinates
Provide clear direction, prioritize tasks, assign and delegate responsibility and monitor the workflow
Promote a high-performance working environment embracing the company's values
Develop guidelines and plans for data analysis leveraging latest industry updates, best practices, and market trends
Conduct detailed feasibility assessments and develop briefs and business cases for new data analysis initiatives (i.e., new data sources, innovative data analysis methods, etc.) and projects
Develop technical proposals for data analysis initiatives and projects including detailed description of the proposed work and resources required
Engage with concerned stakeholders to identify business requirements and expectations, define project scope, request clarifications as needed, and communicate to relevant stakeholders
Translate business needs into problem statements while leveraging internal and external sources
Develop implementation plans for data analysis projects and initiatives highlighting key milestones, methods and resources required
Follow up on data gathering activities to ensure data accuracy and completeness in a timely manner and according to pre-defined guidelines and plans
Ideate technical platforms and algorithmic engines, and support in coding scientific models and algorithms
Review and evaluate model lifecycle including data cleansing, model development and validation, and model deployment
Assess and support in conducting periodic tests and validation checks for deployed algorithms and models
Review data analysis to evaluate integrity and validity of outcomes and methods used, and ensure alignment with requirements and targeted outcomes
Facilitate and manage the coordination between internal and external experts throughout the data analysis lifecycle to ensure alignment on requirements and expectations, and identify and escalate unresolved issues
guidelines and plans, recommend corrective actions as needed and escalate unresolved issues
Gather consolidated data analysis reports to assess insights and review methodologies used to ensure validation of outcomes and adherence to data analysis standards and guidelines
Engage with concerned internal / external stakeholders and conduct presentations to share analyses outcomes and findings
Track KPIs and analyze feedback collected from concerned stakeholders to develop periodical reports reflecting the performance of data analysis projects / initiatives
Qualifications
6+ years of experience in a Data Science field
Bachelor s Degree in Big Data and Analytics or equivalent is required
Proficiency in Microsoft office
Proficiency in English
Focuses on Results and Quality
Demonstrates Customer Centricity
Displays Integrity and Professionalism
Innovates and Demonstrates Agility
Desired Candidate Profile
Education:
Bachelors in Computer Application(Computers)
Gender:
nm
Nationality:
Any Nationality
