575 Gis Analyst jobs in Bahrain
Data Analyst
Posted 6 days ago
Job Viewed
Job Description
We are seeking a skilled Data Analyst with experience in AWS Cloud environments to join our dynamic team. The ideal candidate will possess a strong analytical background, expertise in data management, and a thorough understanding of financial services. You will be responsible for analyzing complex datasets, generating insights, and supporting data-driven decision-making processes.
Minimum Requirements:
Experience:
Minimum of 3 years’ experience in a similar role in a bank or financial institution with a total of minimum 10 years’ experience working in the banking industry. Track record of successful implementation of data initiatives in banking, wholesale banking, or transaction banking.
Data Analytics Skills:
The Data Analyst needs to have a good understanding of the concepts, methods, and techniques used:
- Data Analytics: Collect, clean, and analyze large datasets from various sources to extract meaningful insights.
- Data Visualization: Develop and maintain dashboards, reports, and visualizations to track key performance indicators (KPIs) and business metrics.
- Data Analysis & Structures: Conduct trend analysis, pattern recognition, and predictive modeling to support business initiatives. Understanding of different data structures: structured, semi-structured, and unstructured data.
Banking Domain Skills:
The Data Analyst needs to have a good understanding of the business process and associated data:
- Wholesale Banking/Transaction Banking acumen, including understanding Transaction Banking concepts, practices, and domain language to engage in problem-solving activities and discuss business issues in stakeholder language.
- Journey and Business process transformation, including the ability to understand how AI and Analytics can help redesign the way work is done.
- Business lines data, including the structure, ownership, and use within an organization.
- Knowledge and expertise of Transaction Banking products such as Cash Management, Trade Finance, Supply Chain Finance, Receivable finance, Liquidity Management, and Treasury solutions, along with relevant data requirements.
Technology Skills:
The Data Analyst needs to have a basic understanding of the principles, methods, and techniques of AI and D&A:
- Programming languages: SQL, Python, or R and notebooks like R Studio or Jupyter.
- Data visualization Tools: Tableau or Power BI.
- AWS Cloud Skills: Strong understanding of data warehousing concepts and experience with Redshift, RDS, or similar databases. Utilize AWS services (e.g., S3, Redshift, RDS, Athena, Glue) to manage and analyze data.
Communication and Collaboration Skills:
- Work closely with cross-functional teams, including IT, Business, and Operations, to understand business needs and provide data-driven insights.
- Communicate findings and recommendations to stakeholders through clear and concise presentations.
Data Analyst
Posted 10 days ago
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Job Description
Join to apply for the Data Analyst role at Bidfood Middle East
Join to apply for the Data Analyst role at Bidfood Middle East
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About The Role
Bidfood ME is one of the leading foodservice companies in Bahrain and the Middle East, looking for motivated and enthusiastic
About The Role
Bidfood ME is one of the leading foodservice companies in Bahrain and the Middle East, looking for motivated and enthusiastic Bahraini talent eager to kick-start or grow their career.
The Data Analyst is responsible for analyzing sales trends, customer performance, and channel effectiveness to provide actionable insights to the sales and commercial teams. This position is ideal for someone with a strong analytical mindset, hands-on experience in F&B or FMCG distribution, and a passion for turning data into strategic business decisions.
Key Responsibilities
- Analyze daily, weekly, and monthly sales data across products, categories and customers (with focus on HORECA segment).
- Identify trends, gaps, and opportunities to drive revenue growth and improve channel performance.
- Develop and maintain dashboards and reports (Power BI, Excel, or other tools) for sales performance tracking.
- Collaborate with the sales team to develop territory and account plans based on data insights.
- Monitor key performance indicators (KPIs) such as volume growth, margin, SKU penetration, and distribution efficiency.
- Support pricing strategy, promotional effectiveness analysis, and forecasting for the HORECA channel.
- Provide ad-hoc analysis to support strategic initiatives, product launches, or category reviews.
- Work closely with supply chain, marketing, and finance teams to align business plans with sales performance.
- Segment and profile HORECA customers to enable targeted marketing and customized sales approaches.
- Ensure data accuracy and integrity by coordinating with internal data and IT teams.
- Develop Competitor Analysis, Price analysis.
- Bachelors degree in business, Statistics, Data Science, or related field.
- 1-4 years of experience in sales analytics, preferably in F&B, FMCG, or distribution industries.
- Strong proficiency in Excel, Power BI, Tableau, or other data visualization tools.
- Solid understanding of SQL or similar tools for data extraction and transformation.
- Excellent communication and presentation skills, with the ability to translate data into actionable insights.
- Highly organized with attention to detail and a proactive approach to problem-solving.
- Commercial acumen and the ability to work in a fast-paced, sales-driven environment.
- Seniority level Entry level
- Employment type Full-time
- Job function Information Technology
- Industries Food and Beverage Services
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#J-18808-LjbffrData Analyst
Posted 10 days ago
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Job Description
Join to apply for the Data Analyst role at Dicetek LLC
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Join to apply for the Data Analyst role at Dicetek LLC
We are seeking a skilled Data Analyst with experience in AWS Cloud environments to join our dynamic team. The ideal candidate will possess a strong analytical background, expertise in data management, and a thorough understanding of financial services. You will be responsible for analyzing complex datasets, generating insights, and supporting data-driven decision-making processes.
Minimum of 3 years’ experience in a similar role in a bank or financial institution with a total of minimum 10 years’ experience working in banking industry experience. Track record of successful implementation of data initiatives in banking, wholesale banking or Transaction banking.
Data Analytics Skills
The data Analyst needs to have a good understanding of the concepts, methods and techniques used:
- Data Analytics: Collect, clean, and analyze large datasets from various sources to extract meaningful insights.
- Data Visualization: Develop and maintain dashboards, reports, and visualizations to track key performance indicators (KPIs) and business metrics.
- Data Analysis & Structures: Conduct trend analysis, pattern recognition, and predictive modeling to support business initiatives. Understanding of difference data structures structured, semi structured and unstructured data.
The Data Analyst needs to have a good understanding of the business process and associated data:
Wholesale Banking/Transaction Banking acumen, for example understanding Transaction Banking concepts, practices, and domain language to engage in problem-solving activities and discuss business issues in stakeholder language.
Journey and Business process transformation, for example the ability to understand how AI and Analytics can help redesign the way work is done.
Business lines data, for example the structure, ownership and use within an organization.
Knowledge and expertise, of Transaction Banking products viz. Cash Management, Trade Finance, Supply Chain Finance, Receivable finance, Liquidity Management and Treasury solutions and relevant data requirements
Technology Skills
The Data Analyst needs to have a basic understanding of the principles, methods and techniques of AI and D&A:
- Programming languages: like SQL, Python or R and notebooks like R Studio or Jupyter.
- Data visualization Tools: such as Tableau or Power BI.
- AWS Cloud Skills: strong understanding of data warehousing concepts and experience with Redshift, RDS, or similar databases. Utilize AWS services (e.g., S3, Redshift, RDS, Athena, Glue) to manage and analyze data.
- Work closely with cross-functional teams, including IT, Business, and operations, to understand business needs and provide data-driven insights.
- Communicate findings and recommendations to stakeholders through clear and concise presentations.
- Seniority level Not Applicable
- Employment type Contract
- Job function Information Technology
- Industries IT Services and IT Consulting
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#J-18808-LjbffrJunior Data Analyst
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Assist in the collection, cleaning, and preparation of data from various sources.
- Perform basic data analysis to identify trends, patterns, and anomalies.
- Support the development of reports, dashboards, and visualizations.
- Help validate data accuracy and integrity.
- Collaborate with data science and analytics teams on ongoing projects.
- Document data sources, methodologies, and findings.
- Learn and apply various data analysis tools and techniques.
- Assist in presenting analytical findings to team members.
- Contribute to the improvement of data management processes.
- Gain exposure to the full data lifecycle in a professional environment.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis principles.
- Proficiency in at least one programming language such as Python or R.
- Familiarity with SQL and database concepts.
- Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent analytical and problem-solving abilities.
- Strong attention to detail and commitment to data accuracy.
- Good written and verbal communication skills.
- Ability to work independently and as part of a team in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
Junior Data Analyst
Posted today
Job Viewed
Job Description
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and preprocessing to ensure data accuracy and consistency.
- Conduct basic statistical analysis to identify trends and patterns.
- Create charts, graphs, and reports to visualize data findings.
- Support senior analysts in developing data models and dashboards.
- Help maintain data integrity and accuracy.
- Assist in preparing presentations and reports for stakeholders.
- Learn and apply new data analysis techniques and tools.
- Participate in team meetings and contribute to project discussions.
- Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel (Pivot Tables, VLOOKUPs, charting).
- Basic understanding of statistical concepts.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Exposure to SQL or programming languages like Python or R is advantageous.
- Excellent attention to detail.
- Good communication and interpersonal skills.
- Eagerness to learn and contribute in a fast-paced environment.
Apprentice Data Analyst
Posted today
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Support senior analysts in performing data analysis and identifying trends.
- Help create reports and data visualizations for internal stakeholders.
- Learn and apply data analysis tools and techniques, including SQL and Excel.
- Contribute to data quality assurance and validation processes.
- Participate in team meetings and contribute to project discussions.
- Shadow experienced data analysts to gain practical insights.
- Assist in documentation of data processes and findings.
- High school diploma or equivalent; pursuing or holding a degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science) is a plus.
- Strong aptitude for numbers and analytical thinking.
- Proficiency in Microsoft Excel.
- Basic understanding of databases and data concepts.
- Eagerness to learn and develop new skills in data analysis.
- Good communication and teamwork abilities.
- Detail-oriented and organized.
Junior Data Analyst
Posted today
Job Viewed
Job Description
Responsibilities:
- Assist in collecting and cleaning data from various sources.
- Perform data validation and ensure data accuracy.
- Conduct exploratory data analysis (EDA).
- Develop reports and visualizations to communicate findings.
- Support senior analysts in developing data models.
- Collaborate with team members on data-related projects.
- Learn and apply statistical analysis techniques.
- Assist in the documentation of data processes and methodologies.
- Participate in team meetings and learning sessions.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Basic understanding of data analysis concepts and statistical methods.
- Familiarity with SQL for data extraction and manipulation.
- Exposure to programming languages like Python or R is a plus.
- Experience with data visualization tools (e.g., Tableau, Power BI) is desirable.
- Strong analytical and problem-solving skills.
- Good communication and interpersonal abilities.
- Eagerness to learn and adapt in a fast-paced environment.
- Ability to work effectively both remotely and in an office setting.
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Junior Data Analyst
Posted today
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform basic data analysis using statistical methods and tools.
- Create reports and dashboards to visualize data trends and key performance indicators (KPIs).
- Support senior analysts in identifying patterns, trends, and anomalies in datasets.
- Help maintain data integrity and accuracy across different platforms.
- Prepare presentations and summaries of findings for team reviews.
- Learn and apply various data analysis techniques and software.
- Contribute to data documentation and process improvement initiatives.
- Collaborate with team members on data-related projects.
- Develop foundational skills in data manipulation and interpretation.
- Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Basic understanding of data analysis principles and statistical concepts.
- Familiarity with data analysis tools such as Excel, SQL, Python (Pandas, NumPy), or R is a plus.
- Strong analytical and problem-solving abilities.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and a proactive attitude towards new challenges.
- Ability to work collaboratively with a remote team.
- Strong organizational skills.
Junior Data Analyst
Posted today
Job Viewed
Job Description
As a Junior Data Analyst, you will work closely with senior team members to collect, clean, and analyze large datasets. Your primary responsibilities will include identifying trends, generating reports, and creating visualizations to communicate findings effectively. You will contribute to data-driven decision-making across various departments, gaining exposure to tools like SQL, Python, and data visualization software such as Tableau or Power BI.
This role offers a unique opportunity to develop your analytical skills in a supportive, remote environment. You will learn to extract meaningful insights from complex data, build predictive models, and contribute to the optimization of business processes. The ideal candidate possesses a strong foundation in statistical principles, excellent problem-solving abilities, and a keen eye for detail. Familiarity with programming languages relevant to data analysis and a passion for continuous learning are highly valued. You will be expected to manage your time effectively, communicate clearly in written and verbal formats, and collaborate with team members virtually.
Key Responsibilities:
- Assist in the collection, cleaning, and preparation of data from various sources.
- Perform exploratory data analysis to identify patterns and trends.
- Develop and maintain reports and dashboards to track key performance indicators.
- Create data visualizations to present findings to stakeholders.
- Collaborate with team members on data-related projects.
- Learn and apply new analytical techniques and tools.
- Contribute to the development of data models and algorithms.
- Ensure data accuracy and integrity throughout the analysis process.
- Document analytical processes and findings.
- Participate in team meetings and contribute to discussions.
Qualifications:
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and methodologies.
- Proficiency in SQL is required.
- Familiarity with Python or R for data analysis is a plus.
- Experience with data visualization tools (e.g., Tableau, Power BI) is beneficial.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies.
- Proactive attitude and a strong work ethic.
Junior Data Analyst
Posted today
Job Viewed
Job Description
Key responsibilities include cleaning and preparing data for analysis, performing statistical analysis, creating visualizations and reports to communicate findings, and assisting senior analysts with ongoing projects. Proficiency in data analysis tools such as SQL, Python (with libraries like Pandas, NumPy, Matplotlib), and R is highly desirable. Experience with business intelligence tools like Tableau or Power BI would be a significant advantage. You should possess a strong understanding of statistical concepts and data modeling techniques. Excellent analytical and problem-solving skills are paramount. As this is a remote role, exceptional self-discipline, time management, and communication skills are crucial for success. You must be comfortable working independently and collaborating effectively with a remote team through various digital communication channels.
The ideal candidate will have a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. Strong communication skills, both written and verbal, are essential for presenting findings clearly to non-technical audiences. We are looking for individuals with a strong desire to learn, a proactive attitude, and a passion for data-driven insights. This is a fantastic chance to gain invaluable experience in a rapidly growing field and contribute to innovative projects from the comfort of your home office. Join us and shape the future of data analysis.