926 Hr Analyst jobs in Bahrain
Principal HR Operations Analyst
Posted 3 days ago
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Job Description
Qualifications:
- Bachelor's degree in Human Resources, Information Systems, Business Analytics, or a related field.
- Minimum of 7 years of experience in HR operations, HRIS management, or HR analytics.
- Proven expertise in managing and configuring HR Information Systems (e.g., Workday, SAP SuccessFactors).
- Strong analytical skills with proficiency in data analysis tools (e.g., Excel, SQL, Tableau).
- Experience in developing HR reports, dashboards, and KPIs.
- In-depth understanding of HR processes and best practices.
- Excellent problem-solving and critical thinking abilities.
- Strong communication and presentation skills.
- Ability to manage multiple projects and prioritize effectively.
- SHRM-CP or SHRM-SCP certification is a plus.
Remote HR Data Analyst Specialist
Posted today
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Job Description
Key responsibilities include managing HR information systems (HRIS), ensuring data accuracy and integrity, and developing metrics for measuring the success of HR programs. You will collaborate closely with HR business partners, talent acquisition, and other departments to understand their data needs and provide relevant insights. The ability to translate complex data into clear, concise, and actionable recommendations for stakeholders at all levels is paramount. Experience with statistical software, data visualization tools, and HR analytics platforms is highly desirable. If you are a data-driven HR professional looking for a challenging and rewarding remote opportunity to make a significant impact on an organization's human capital strategy, this role is for you.
Key Responsibilities:
- Collect, clean, and analyze HR data from various sources.
- Develop and maintain HR dashboards and reports using BI tools.
- Identify trends and provide insights on workforce demographics, engagement, and performance.
- Support HR initiatives with data-driven analysis and recommendations.
- Ensure data accuracy and integrity within HR systems.
- Conduct ad-hoc analyses to answer specific business questions.
- Collaborate with HR stakeholders to understand data requirements.
- Stay updated on HR analytics best practices and technologies.
Graduate Trainee - Data Analysis
Posted today
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Graduate Trainee - Data Analysis
Posted today
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Job Description
As a Graduate Trainee, you will work alongside experienced data scientists and analysts, contributing to real-world projects. You will be exposed to a wide range of data analysis tools and techniques, developing a strong foundation in data-driven decision-making. This remote role emphasizes collaboration, continuous learning, and professional development in a supportive virtual environment.
Key Responsibilities:
- Assist in the collection, cleaning, and preparation of large datasets for analysis.
- Perform data analysis using statistical methods and data mining techniques.
- Develop visualizations and dashboards to present data insights effectively.
- Support senior analysts in identifying trends, patterns, and anomalies within data.
- Learn and apply various data analysis tools and programming languages (e.g., Python, R, SQL).
- Collaborate with cross-functional teams to understand data requirements and deliver insights.
- Contribute to the development of data models and algorithms.
- Document data analysis processes and findings.
- Participate in team meetings and knowledge-sharing sessions.
- Assist in generating reports and presentations for stakeholders.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel and basic understanding of databases.
- Familiarity with statistical software or programming languages (e.g., R, Python) is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage tasks effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Strong attention to detail and accuracy.
- A keen interest in data analysis and its application in business.
Graduate Trainee - Data Analysis
Posted 1 day ago
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Job Description
Key Responsibilities:
- Assist in the collection, cleaning, and preparation of data from various sources.
- Perform basic statistical analysis and data mining to identify trends and patterns.
- Support senior analysts in developing reports and presentations based on data findings.
- Learn and apply various data visualization techniques to present data effectively.
- Contribute to data quality checks and ensure the accuracy of information.
- Participate in team meetings and provide input on data-related projects.
- Develop proficiency in data analysis software and tools.
- Understand business requirements and translate them into data analysis tasks.
- Conduct research on industry trends and best practices in data analysis.
- Adhere to data privacy and security protocols.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with spreadsheet software (e.g., Microsoft Excel) is essential.
- Knowledge of any programming language for data analysis (e.g., Python, R, SQL) is a plus.
- Good written and verbal communication skills.
- Eagerness to learn and a proactive attitude towards new challenges.
- Ability to work effectively in a team and follow instructions accurately.
- Strong attention to detail and organizational skills.
- Enthusiasm for a career in data analysis and insights.
Graduate Trainee - Data Analysis
Posted 1 day ago
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Job Description
This is an exceptional opportunity for individuals looking to launch their career in data analytics. You will gain exposure to real-world business challenges and learn industry-standard methodologies. The program includes structured training, mentorship from senior professionals, and opportunities for professional development. We are looking for individuals who are eager to learn, possess strong analytical and problem-solving skills, and have excellent communication abilities. The ability to translate technical findings into clear, actionable recommendations for non-technical stakeholders is a key requirement. We foster a collaborative and supportive environment where trainees can grow and contribute meaningfully. Your enthusiasm for data and your commitment to developing your analytical capabilities will be highly valued.
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets.
- Perform exploratory data analysis to identify trends and patterns.
- Develop and implement statistical models to analyze data.
- Create data visualizations and dashboards to present findings effectively.
- Support senior analysts in ad-hoc data analysis requests.
- Learn and apply various data analysis tools and techniques.
- Collaborate with cross-functional teams to understand data needs.
- Contribute to reports and presentations on data insights.
- Maintain documentation of data analysis processes.
- Participate in training sessions and team meetings.
- Recent Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics).
- Strong academic record with a focus on quantitative subjects.
- Foundational knowledge of statistical concepts and data analysis.
- Familiarity with data analysis tools such as Python (Pandas, NumPy), R, or SQL is a plus.
- Excellent analytical and problem-solving skills.
- Good communication and interpersonal abilities.
- Eagerness to learn and develop data analysis skills.
Graduate Trainee - Data Analysis
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, processing, and cleaning large datasets from various sources.
- Perform statistical analysis on data to identify trends, patterns, and correlations.
- Develop data visualizations and reports to communicate findings effectively.
- Support senior analysts in developing predictive models and business intelligence solutions.
- Learn and apply various data analysis tools and programming languages (e.g., SQL, Python, R, Tableau).
- Contribute to data quality assurance and validation processes.
- Participate in team meetings and provide input on analytical projects.
- Gain exposure to different business areas and their data needs.
- Assist in documenting data sources, methodologies, and findings.
- Complete assigned projects and learning modules within set timelines.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel and foundational knowledge of SQL.
- Exposure to statistical software or programming languages (e.g., R, Python) is a plus.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently and as part of a team.
- Eagerness to learn and develop skills in data analysis and business intelligence.
- Strong organizational and time management abilities.
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Graduate Trainee - Data Analysis
Posted 2 days ago
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Job Description
- Assist senior data analysts in collecting, cleaning, and pre-processing large datasets.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Support the development and implementation of data models and statistical analyses.
- Create visualizations and reports to communicate findings to stakeholders.
- Learn and apply various data analysis techniques and tools, such as SQL, Python (Pandas, NumPy), and R.
- Participate in team meetings and contribute to project discussions.
- Develop a strong understanding of data governance and best practices.
- Assist in testing and validating data-driven solutions.
- Collaborate with team members to troubleshoot data-related issues.
- Undertake training and development activities to build expertise in data analysis.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Basic understanding of statistical concepts and data analysis techniques.
- Familiarity with programming languages commonly used in data analysis (e.g., Python, R) and SQL.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote learning environment.
- Proactive attitude towards learning and skill development.
- Must have access to a reliable computer and stable internet connection for remote participation.
Graduate Trainee - Data Analysis
Posted 2 days ago
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and preparing data for analysis.
- Perform statistical analysis and data mining to identify trends and patterns.
- Develop and maintain data models and algorithms.
- Create visualizations and reports to communicate findings effectively.
- Collaborate with senior analysts on data-driven projects.
- Learn and utilize various data analysis tools and software.
- Document data processes and analysis methodologies.
- Contribute to the development of data quality standards.
- Support ad-hoc data requests from various departments.
- Stay updated on the latest trends in data analysis and data science.
Graduate Trainee - Data Analysis
Posted 3 days ago
Job Viewed
Job Description
Responsibilities:
- Assist senior data analysts in collecting, cleaning, and preparing data from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
- Develop and implement statistical models and machine learning algorithms.
- Create data visualizations and reports to communicate findings to stakeholders.
- Support the development of dashboards and business intelligence tools.
- Learn and apply various data analysis techniques and tools (e.g., Python, R, SQL).
- Collaborate with cross-functional teams to understand data needs and provide analytical support.
- Contribute to data quality assurance and validation processes.
- Participate in team meetings and contribute to project discussions.
- Stay updated on the latest developments in data science and analytics.
- Assist in documenting data processes and methodologies.
- Help in A/B testing design and analysis.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong analytical and quantitative skills.
- Familiarity with programming languages commonly used in data analysis, such as Python or R.
- Knowledge of SQL for data extraction and manipulation.
- Basic understanding of statistical concepts and machine learning algorithms.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent problem-solving abilities and attention to detail.
- Good communication and collaboration skills.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently in a remote environment.
- Proactive attitude and strong work ethic.