228 Customer Experience Analyst jobs in Bahrain

Join to apply for the Data Analyst role at Bidfood Middle East

Join to apply for the Data Analyst role at Bidfood Middle East

Get AI-powered advice on this job and more exclusive features.

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

Referrals increase your chances of interviewing at Bidfood Middle East by 2x

Get notified about new Data Analyst jobs in Bahrain .

Manama, Capital Governorate, Bahrain 1 year ago

Manama, Capital Governorate, Bahrain 5 months ago

Manama, Capital Governorate, Bahrain 4 months ago

Manama, Capital Governorate, Bahrain 2 months ago

Manama, Capital Governorate, Bahrain 2 weeks ago

Manama, Capital Governorate, Bahrain 4 months ago

Manama, Capital Governorate, Bahrain 2 weeks ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 4 minutes ago

Manama, Capital Governorate, Bahrain 3 months ago

Manama, Capital Governorate, Bahrain 9 months ago

Manama, Capital Governorate, Bahrain 2 days ago

Manama, Capital Governorate, Bahrain 2 months ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 5 hours ago

Manama, Capital Governorate, Bahrain 3 weeks ago

Manama, Capital Governorate, Bahrain 4 months ago

Manama, Capital Governorate, Bahrain 2 months ago

Manama, Capital Governorate, Bahrain 4 months ago

Manama, Capital Governorate, Bahrain 2 months ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 5 months ago

Seef, Capital Governorate, Bahrain 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Join to apply for the Data Analyst role at Dicetek LLC

Continue with Google Continue with Google

1 year ago Be among the first 25 applicants

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.
  
  

• 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

Referrals increase your chances of interviewing at Dicetek LLC by 2x

Continue with Google Continue with Google

Continue with Google Continue with Google

Manama, Capital Governorate, Bahrain 2 days ago

Riffa, Southern Governorate, Bahrain 1 year ago

Al Khobar, Eastern, Saudi Arabia 1 month ago

Al Khobar, Eastern, Saudi Arabia 1 month ago

Seef, Capital Governorate, Bahrain 5 days ago

Manama, Capital Governorate, Bahrain 4 months ago

Al Khobar, Eastern, Saudi Arabia 1 month ago

Manama, Capital Governorate, Bahrain 3 months ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 15 hours ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 3 months ago

Manama, Capital Governorate, Bahrain 2 weeks ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain
BHD1,500.000
-
BHD1,600.000
2 months ago

Manama, Capital Governorate, Bahrain 4 months ago

Manama, Capital Governorate, Bahrain 2 days ago

Manama, Capital Governorate, Bahrain 1 month ago

Manama, Capital Governorate, Bahrain 8 months ago

Manama, Capital Governorate, Bahrain 2 days ago

Manama, Capital Governorate, Bahrain 4 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

• Assisting in the collection and cleaning of data from various sources.
• Performing exploratory data analysis to identify trends, patterns, and anomalies.
• Developing reports and visualizations to communicate findings effectively to stakeholders.
• Supporting senior analysts in building and testing statistical models.
• Collaborating with business units to understand their data needs and provide analytical support.
• Ensuring data accuracy, integrity, and consistency.
• Learning and applying various data analysis tools and techniques.
• Documenting data sources, methodologies, and findings.
• Participating in team meetings and contributing to project discussions.
• Proactively identifying opportunities for process improvements in data management and analysis.
• Gaining exposure to advanced analytics concepts and methodologies.

• A Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Finance, or a related discipline.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel and a basic understanding of SQL.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Good communication and interpersonal skills.
• A keen eye for detail and a commitment to accuracy.
• A proactive attitude and a strong desire to learn and develop in the field of data analytics.
• Ability to work independently and as part of a team.
• Enthusiasm for working with data and uncovering insights.

• Assisting in the collection, cleaning, and preprocessing of large datasets from various sources.
• Performing exploratory data analysis to identify trends, patterns, and anomalies.
• Developing and generating reports, dashboards, and visualizations to present findings.
• Supporting the data analysis team in building statistical models and predictive algorithms.
• Collaborating with team members to ensure data accuracy and integrity.
• Assisting in the development and maintenance of data pipelines.
• Conducting research on data-related topics and industry best practices.
• Communicating analytical findings clearly and concisely to technical and non-technical audiences.
• Supporting ad-hoc data requests and analytical projects.
• Learning and applying various data analysis tools and techniques.
• Contributing to the overall data strategy and insights generation within the organization.
• Participating in team meetings and contributing to project discussions.
• Documenting data analysis processes and methodologies.
• Identifying potential improvements in data collection and analysis procedures.
• Gaining practical experience in a professional data analysis environment.

• 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 methodologies.
• Proficiency in data manipulation and analysis tools such as Python (with libraries like Pandas, NumPy) or R.
• Experience with SQL for data querying.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Good communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Eagerness to learn and adapt to new technologies and methodologies.

• Assisting senior analysts in data collection and preparation processes.
• Performing exploratory data analysis to uncover patterns and anomalies.
• Creating clear and concise data visualizations and reports to communicate findings.
• Collaborating with cross-functional teams to understand data needs and deliver relevant insights.
• Maintaining data integrity and accuracy through rigorous validation checks.
• Supporting the development and implementation of new data analysis methodologies.
• Contributing to ad-hoc data requests and projects as needed.

• Learn to gather and organize data from various sources.
• Develop skills in data cleaning, transformation, and preparation for analysis.
• Gain proficiency in using data analysis tools and software (e.g., Excel, SQL, Python/R libraries).
• Understand fundamental statistical concepts and their application in data analysis.
• Learn to create compelling data visualizations and reports using tools like Tableau or Power BI.
• Assist in identifying trends, patterns, and anomalies within datasets.
• Support senior analysts in deriving actionable insights from data.
• Participate in training sessions on data modeling and business intelligence.
• Collaborate with different departments to understand their data needs.
• Develop a strong understanding of data governance and best practices.
• Work on real-world projects to apply learned concepts and build a portfolio.
• Receive mentorship from experienced data professionals throughout the program.
• The focus is on developing practical skills and a solid understanding of the data analytics lifecycle.
• This apprenticeship in Seef, Capital, BH offers a pathway into the growing field of data analytics.

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Strong analytical and problem-solving abilities.
• Proficiency in Microsoft Excel.
• Basic understanding of statistical concepts.
• Eagerness to learn programming languages like Python or R is a plus.
• Good communication and presentation skills.
• Ability to work independently and as part of a team.
• Attention to detail and accuracy.
• A keen interest in data analysis and business intelligence.
• A positive attitude and strong work ethic.

• Assist in the collection, cleaning, and organization of data from various sources.
• Perform data analysis using statistical methods and relevant software tools.
• Identify trends, patterns, and insights within datasets to support business decisions.
• Develop reports and visualizations to communicate analytical findings to stakeholders.
• Collaborate with team members on data-related projects and initiatives.
• Support the maintenance and improvement of databases and data systems.
• Contribute to the development of data models and analytical frameworks.
• Participate in team meetings and contribute to problem-solving discussions.
• Learn and apply new data analysis techniques and tools.
• Ensure the accuracy and integrity of data throughout the analysis process.

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
• Strong analytical and quantitative skills.
• Proficiency in Microsoft Excel and SQL.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic knowledge of programming languages such as Python or R is highly desirable.
• Excellent problem-solving abilities and attention to detail.
• Good written and verbal communication skills.
• Eagerness to learn and adapt in a professional environment.
• Ability to work collaboratively in a team setting.

• Assist in the collection, cleaning, and transformation of large datasets from various sources.
• Perform data analysis using statistical methods and relevant software (e.g., Python, R, SQL).
• Develop data visualizations and dashboards to communicate findings effectively.
• Support the development of predictive models and analytical solutions.
• Conduct market research and competitive analysis to inform client strategies.
• Collaborate with project teams to understand client requirements and deliver tailored insights.
• Document methodologies, findings, and recommendations clearly and concisely.
• Contribute to the continuous improvement of data analysis processes and tools.
• Stay updated on the latest trends and techniques in data analytics and business intelligence.
• Ensure data integrity and confidentiality in all aspects of work.

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundation in statistical concepts and analytical techniques.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
• Experience with SQL for data querying and manipulation.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent problem-solving and critical-thinking abilities.
• Strong communication skills, both written and verbal.
• Ability to work effectively both independently and as part of a team.
• Detail-oriented with a commitment to accuracy.
• Eagerness to learn and adapt to new technologies and methodologies.