2 Hr Databases jobs in Bahrain
Remote HR Analytics Specialist
2011 Ghuraifa, Capital
BHD80000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client, a forward-thinking organization, is seeking a dedicated Remote HR Analytics Specialist to join their growing Human Resources department. This fully remote position will be at the forefront of leveraging data to drive strategic HR decisions and improve organizational effectiveness. You will be responsible for collecting, analyzing, and interpreting HR data to identify trends, patterns, and insights related to workforce planning, talent management, employee engagement, and other key HR metrics. The ideal candidate will possess strong analytical skills, a keen eye for detail, and proficiency in data visualization tools. You will work closely with HR leadership and business units to provide data-driven recommendations that support strategic initiatives. This role requires a proactive individual who can translate complex data into actionable business intelligence. Key responsibilities include:
A Bachelor's degree in Statistics, Data Science, Human Resources, or a related quantitative field is required. Proven experience (3+ years) in HR analytics or a similar data analysis role is essential. Proficiency in HRIS systems, advanced Excel skills, and experience with data visualization tools (e.g., Tableau, Power BI) are mandatory. Familiarity with statistical software packages (e.g., R, Python) is a strong plus. If you are passionate about using data to transform HR practices and excel in a remote work setting, we encourage you to apply.
- Developing and maintaining HR dashboards and reports.
- Analyzing workforce data to identify trends in recruitment, retention, performance, and compensation.
- Conducting deep-dive analyses to understand the root causes of HR-related issues.
- Collaborating with HR teams to define key HR metrics and KPIs.
- Designing and implementing data collection methodologies.
- Presenting HR data and insights to stakeholders in a clear and concise manner.
- Utilizing statistical methods to predict future workforce needs and challenges.
- Developing models to measure the impact of HR programs and initiatives.
- Ensuring data accuracy, integrity, and security.
- Staying current with HR analytics best practices and emerging technologies.
A Bachelor's degree in Statistics, Data Science, Human Resources, or a related quantitative field is required. Proven experience (3+ years) in HR analytics or a similar data analysis role is essential. Proficiency in HRIS systems, advanced Excel skills, and experience with data visualization tools (e.g., Tableau, Power BI) are mandatory. Familiarity with statistical software packages (e.g., R, Python) is a strong plus. If you are passionate about using data to transform HR practices and excel in a remote work setting, we encourage you to apply.
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Lead Data Scientist - Project Management
701 Muharraq, Muharraq
BHD120000 Annually
WhatJobs
Posted 17 days ago
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Job Description
Our client is seeking an experienced Lead Data Scientist to spearhead critical projects within their organization. This pivotal role requires a blend of deep analytical expertise, strategic thinking, and strong project management capabilities. You will lead a team of data scientists and analysts, guiding them through the entire project lifecycle from conceptualization and data acquisition to model development, deployment, and performance monitoring. Your responsibilities will include defining project scope, objectives, and deliverables, ensuring alignment with business goals. You will oversee the application of advanced statistical techniques, machine learning algorithms, and data mining methods to solve complex business problems. This includes developing predictive models, optimizing processes, and generating actionable insights from large datasets. Effective stakeholder management and clear communication of complex technical findings to both technical and non-technical audiences are crucial. You will be responsible for project planning, resource allocation, risk management, and ensuring projects are delivered on time and within budget. The ideal candidate possesses a Ph.D. or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Physics), extensive experience in data science, and a proven ability to lead and mentor data science teams. Expertise in programming languages such as Python or R, proficiency with big data technologies (e.g., Spark, Hadoop), and experience with cloud platforms (AWS, Azure, GCP) are required. A strong understanding of project management methodologies is essential.Location: Muharraq, Muharraq, BH
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