2 509 Inventory Analyst jobs in Bahrain

We are seeking a detail-oriented and proactive
Inventory Controller
to join our Lifestyle Concept team. The role is critical in ensuring efficient stock management, accurate inventory records, and smooth operations to support business growth and customer satisfaction.

Key Responsibilities:

• Monitor and control inventory levels to meet business requirements.
• Conduct regular stock counts, reconciliations, and variance analysis.
• Coordinate with store and warehouse teams to ensure timely stock replenishment.
• Investigate discrepancies in stock movement and implement corrective actions.
• Support supply chain, logistics, and merchandising teams with accurate inventory reporting.
• Ensure compliance with company policies, procedures, and audit standards.
• Generate and analyze inventory reports to assist in decision-making.

Requirements:

• Bachelor's degree in business, Supply Chain, or related field.
• Minimum 3-5
  years of experience
  in inventory control or store operations (retail sector preferred).
• Strong analytical skills with attention to detail.
• Proficiency in MS Excel and ERP systems (SAP, Oracle, or similar).
• Excellent communication and coordination skills.
• Ability to work under pressure and meet deadlines.

• Assist senior analysts in collecting, cleaning, and processing large datasets.
• Perform basic data analysis and generate reports using analytical software.
• Identify trends, patterns, and insights within data to support business objectives.
• Create visualizations and dashboards to present findings effectively.
• Participate in team meetings and contribute to project discussions.
• Learn and apply various data analysis methodologies and tools.
• Assist in developing documentation for data processes and analytical models.
• Support the testing and validation of data solutions.
• Gain exposure to different business functions and understand their data needs.
• Contribute to ad-hoc data analysis requests as needed.

• Recent graduate with a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Basic understanding of data analysis concepts and statistical principles.
• Familiarity with programming languages like Python or R is a plus.
• Excellent written and verbal communication skills.
• Ability to work effectively in a team and adapt to a hybrid work environment.
• Eagerness to learn and develop new skills in data analysis.
• Strong attention to detail and accuracy.

• Assist in collecting and organizing data from various sources.
• Perform data cleaning and preprocessing tasks to ensure data accuracy and integrity.
• Conduct exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and maintain reports and dashboards to visualize key insights.
• Support senior analysts in statistical modeling and hypothesis testing.
• Learn and apply various data analysis tools and techniques, including SQL, Python/R, and BI tools.
• Document methodologies, findings, and results clearly and concisely.
• Collaborate with team members in a remote setting, participating in virtual meetings and discussions.
• Contribute to ad-hoc data analysis requests as needed.
• Continuously learn and develop new skills in data science and analytics.

• 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 understanding of statistical concepts and analytical principles.
• Familiarity with programming languages like Python or R is a significant advantage.
• Basic knowledge of SQL for data extraction and manipulation.
• Proficiency in Microsoft Excel for data analysis.
• Excellent attention to detail and a methodical approach to problem-solving.
• Strong written and verbal communication skills, suitable for a remote work environment.
• Eagerness to learn and a proactive attitude towards skill development.
• Ability to work independently and manage time effectively in a remote setting.
• Passion for data and a desire to build a career in data analysis.

• Intensive training in data analysis tools and methodologies.
• Hands-on experience with data cleaning, transformation, and preparation.
• Exposure to statistical analysis and modeling techniques.
• Learning to create compelling data visualizations and reports.
• Working on actual business projects to solve real-world problems.
• Mentorship from senior data analysts and team leads.
• Development of essential business acumen and professional skills.
• Opportunities for networking with industry professionals.
• Understanding of data governance and best practices.
• Potential for full-time employment upon successful completion of the program.

• Assisting senior analysts in data collection, extraction, and manipulation from various sources.
• Performing data cleaning and pre-processing to ensure data quality and integrity.
• Conducting exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Developing and generating reports and visualizations using tools like Excel, Tableau, or Power BI.
• Supporting the development of dashboards and performance metrics.
• Learning and applying statistical methods and basic modeling techniques.
• Collaborating with different departments to understand their data needs and provide analytical support.
• Participating in training sessions and workshops to enhance technical and soft skills.
• Contributing to ad-hoc data analysis projects as required.
• Shadowing experienced data analysts and learning best practices in data management and analysis.

• Recent graduate with a Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Engineering, etc.).
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Basic understanding of statistical concepts.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Knowledge of programming languages like Python or R is advantageous but not mandatory.
• Excellent communication and teamwork skills.
• A strong desire to learn and develop a career in data analysis.
• Must be legally eligible to work in **Jidhafs, Capital, BH**.

• Assist in data collection and aggregation from various sources.
• Perform data cleaning and pre-processing to ensure data accuracy and consistency.
• Conduct exploratory data analysis to identify trends and patterns.
• Support the development of reports and dashboards for data visualization.
• Apply statistical methods and techniques for data interpretation.
• Collaborate with senior data analysts and scientists on project tasks.
• Learn and utilize various data analysis tools and software.
• Document data analysis processes and findings.
• Contribute to the improvement of data quality and analysis methodologies.
• Assist in the preparation of presentations on analytical findings.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Engineering, Data Science).
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in at least one programming language such as Python or R.
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
• Exposure to data visualization tools (e.g., Tableau, Power BI, Matplotlib) is a plus.
• Excellent analytical thinking and problem-solving capabilities.
• Strong attention to detail and commitment to data accuracy.
• Good written and verbal communication skills.
• Ability to work independently and as part of a remote team.
• Enthusiasm for learning and a proactive attitude.

• Assisting researchers in data collection processes across diverse methodologies.
• Performing data entry and ensuring accuracy and integrity of all collected information.
• Cleaning and pre-processing raw data to prepare it for analysis.
• Conducting preliminary statistical analysis using appropriate software (e.g., SPSS, R, Python).
• Generating reports and visualizations to summarize key findings.
• Collaborating with the research team to interpret data and identify trends.
• Maintaining detailed records of data sources, methodologies, and analysis steps.
• Providing support for literature reviews and preparing research summaries.
• Ensuring all research activities comply with ethical guidelines and data privacy regulations.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Solid understanding of statistical principles and data analysis techniques.
• Proficiency in data analysis software such as SPSS, R, Python, or similar.
• Excellent attention to detail and accuracy.
• Strong organizational and time management skills, essential for a remote role.
• Effective written and verbal communication skills for collaborating with a remote team.
• Ability to work independently and proactively manage tasks.
• Familiarity with research methodologies is a plus.