Operational Delivery

• Data Collection and Integration: Integrate HR-related data from various sources, including employee databases, performance evaluations, recruitment metrics etc.
• Ensure data accuracy, completeness, and consistency to create a reliable dataset for analysis
• Data Modeling and Predictive Analytics: Develop advanced data models to analyze HR data, such as employee performance, turnover rates, and talent acquisition metrics
• Apply predictive analytics techniques to forecast trends in workforce behavior
• Employee Engagement and Retention Analysis: Analyze employee engagement survey data and other relevant metrics to identify patterns and trends Propose data-driven strategies to improve employee engagement, job satisfaction, and retention rates
• Talent Acquisition and Recruitment Optimization: Utilize data analysis to optimize the recruitment process, including candidate sourcing, selection methods, and time-to-fill positions
• Identify key metrics to assess the effectiveness of recruitment strategies and provide insights into HR
• Workforce Planning and Skill Gap Analysis: Conduct workforce planning using historical data and market trends to anticipate future staffing needs
• Perform skill gap analysis to identify areas where training and development programs to enhance the employees’ skills
• Compliance and Diversity Analytics: Monitor HR compliance metrics, ensuring the organization adheres to labor laws, regulations, and internal policies
• Training and Support: Provide training and support to HR staff and other employees on how to use automated HR systems effectively
• Develop training materials and conduct workshops to enhance the understanding of automated processes, promoting self-service options where applicable
• Data Management and Security: Oversee the management of HR data, ensuring its accuracy, security, and compliance with data protection regulations
• Implement data security protocols and maintain confidentiality standards, especially when dealing with sensitive employee information

Key Deliverables

• Conduct workforce analyses and advice on appropriate levels of staffing, skill sets, paygrades, and workforce mix:
• Analyze and assist with gathering human capital resource data, ensuring the accuracy of the data presented in reports and reviews.
• Provide analytical support in terms of quality and quantity to HR management
• Completes administration tasks and analysis for share plans
• Ensures a monthly tracking on total overhead budget and the potential non-staff related costs.
• Monitor the costs against business targets & budget and share monthly reports with relevant stakeholders
• Assist in developing manageable budget milestones that align with goals and earned value management.
• Provide support and guidelines related to cost accounting, financial management and financial execution.
• Assist with creating, processing, and following through on financial documentation for knowledge management and auditing authorities
• Assist in the development of documentation initiatives to include policy, procedures, guidance documents, messaging and strategies on internal and external communications.
• Support writing, unifying and standardizing all documentation to include a life cycle period for reviewing and updating the documents.
• Develop and establish a file and storage capability for all documentation according to a standard file record system (digital solution)
• Develop, review and maintain all documentation (policy, directives, Charters, etc.) and the process and procedures to maintain reviews and updates
• Support the establishment of an efficient HR Secretariat.
• Manage HR Projects and Project management team
• Identify key priorities and processes necessary to promote HR strategic initiatives and manage transactional projects at department or division level
• Manage and ensure accountability on defined programs/projects, forecast, resourcing, schedules, issues, risks, interdependencies, change management.
• Ensure that all projects have a reporting mechanism that provides concise, visual information on status and impact of key components of the project, including integration/rollup to other projects and/or program plans as appropriate to be reviewed with HR senior leadership on a periodic basis
• Develop initiative measures to define progress and success and establish key performance indicators
• Propose operational changes and provide associated user impact assessment

Education:

• Minimum of 3 years Degree in Human Resources or any relevant field
• Fluent in English and language of country preferable.

Training

• Relevant Leadership & Functional training identified by the Company

Experience:

• Minimum 3 years of experience related to the job responsibilities discipline human capital, workforce planning, organizational development, policies and procedures etc.
• Experience with conducting quantitative and qualitative workforce data analysis using statistical programs and survey software, including Excel, SPSS, and SAS
• Experience in facilitating technical and functional training
• Background in Economics, Finance, Statistics, would be an advantage
• Experience in supervising others is an advantage
• Experience working in a medium organization

Technical Competencies and Skills:  

• Demonstrated program ownership and consistent delivery on commitments.
• Excellent analytical skills and good reasoning abilities/common sense.
• Solid sense of accountability, sound personal judgment, and maturity.
• Strong project management, planning, and organizational skills, including ability to handle multiple projects simultaneously in a fast-paced environment.
• Superb oral and written communication
• Demonstrated experience and relevant expertise in the design and building of distributed solutions.
• Expertise in financial/ statistical analysis and spreadsheet modelling.
• Strong project management, planning, and organizational skills.
• Good IT knowledge of digitalized solutions
• Flexible and ready to work under tight deadlines
• Data Integration & Transformation
• Database Management
• Data Analysis and Modeling (R, Python)
• Data Visualization (Tableau, Power BI)
• Big Data Technologies (Hadoop, Spark)
• Predictive Analytics and AI
• Data Security and Compliance
• Automation and Workflow Optimization
• Cloud Computing (AWS, Azure, or Google Cloud)
• Telecommunications Industry Knowledge