444 Senior Data 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

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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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Join to apply for the Data Analyst role at Dicetek LLC

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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

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• Assist in gathering and preparing data from various sources for analysis.
• Perform data cleaning, transformation, and validation to ensure accuracy and consistency.
• Support the development of reports, dashboards, and visualizations using BI tools.
• Conduct exploratory data analysis to identify trends, patterns, and insights.
• Help in the interpretation of data and communication of findings to stakeholders.
• Collaborate with team members on data-related projects and initiatives.
• Learn and apply statistical methods and analytical techniques.
• Contribute to the maintenance of data dictionaries and documentation.
• Assist in testing and validating data models and reports.
• Gain exposure to SQL, Python/R for data manipulation and analysis.
• Participate in team meetings and learning sessions.
• Develop practical skills in data storytelling and presentation.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• Foundational understanding of data analysis principles and methodologies.
• Basic knowledge of SQL for database querying is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Excel charts) is advantageous.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent written and verbal communication skills.
• Proactive attitude and eagerness to learn new technologies and techniques.
• Ability to work effectively in a team environment.
• Good organizational skills and the ability to manage multiple tasks.
• Proficiency in Microsoft Excel.

• Assist in collecting, cleaning, and transforming large datasets from various sources.
• Perform data analysis using statistical methods and tools to identify trends, patterns, and insights.
• Develop data visualizations and reports to communicate findings effectively to stakeholders.
• Support the data science team in building and validating predictive models.
• Conduct research on industry trends and best practices in data analytics.
• Collaborate with team members to understand project requirements and deliver high-quality results.
• Contribute to the development of data-driven solutions and recommendations.
• Learn and apply various data analysis techniques and software (e.g., Python, R, SQL, Excel).
• Participate in team meetings and present project updates.
• Ensure data accuracy and integrity throughout the analysis process.
• Help maintain documentation for data processes and analytical methodologies.

• Assist in the development and implementation of data collection systems and strategies.
• Clean and pre-process raw data to ensure accuracy and consistency.
• Perform exploratory data analysis to identify patterns, correlations, and anomalies.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs).
• Collaborate with different departments to understand their data needs and provide analytical support.
• Contribute to the development of data models and predictive analytics.
• Ensure data integrity and adherence to data governance policies.
• Stay updated with the latest trends and technologies in data analytics.
• Prepare presentations and reports to communicate findings effectively.
• Support senior analysts and management with ad-hoc data requests.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis methodologies.
• Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with programming languages such as Python or R is a plus.
• Excellent analytical and problem-solving skills.
• Strong communication and interpersonal skills, with the ability to explain complex data insights to non-technical audiences.
• Detail-oriented with a commitment to accuracy.
• Ability to work independently and as part of a team.
• Eagerness to learn and adapt in a fast-paced environment.

• Assist in data collection, cleaning, and preprocessing.
• Perform basic data analysis using statistical methods.
• Create reports and visualizations to present data insights.
• Support senior analysts in various data-related projects.
• Contribute to data quality assurance and documentation.
• Respond to ad-hoc data requests from different teams.

• Currently pursuing a Bachelor's or Master's degree in a relevant field.
• Strong analytical and quantitative skills.
• Familiarity with SQL and data analysis concepts.
• Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic programming skills in Python or R are beneficial.
• Excellent attention to detail and organizational skills.
• Good communication and teamwork abilities.

• Collect, clean, and process data from various sources.
• Perform data analysis to identify trends, patterns, and insights.
• Develop reports and dashboards to visualize data and communicate findings effectively.
• Assist in the creation of statistical models and predictive analytics.
• Support senior analysts in data-driven decision-making processes.
• Ensure data accuracy and integrity throughout the analysis lifecycle.
• Collaborate with different departments to understand their data needs and provide analytical support.
• Prepare presentations summarizing analytical results for stakeholders.
• Identify opportunities for process improvement in data collection and analysis.
• Learn and apply various data analysis techniques and tools.

• 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 critical thinking skills.
• Proficiency in data analysis tools and languages such as SQL, Python (Pandas, NumPy), or R.
• Experience with data visualization tools like Tableau or Power BI is a plus.
• Excellent attention to detail and accuracy.
• Strong written and verbal communication skills.
• Ability to work collaboratively in a team environment.
• Eagerness to learn and adapt to new technologies and methodologies.
• Must be legally authorized to work in the specified location.
• This internship is an excellent stepping stone for a career in data analytics and business intelligence.

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform data analysis using statistical methods and tools to identify trends, patterns, and insights.
• Develop and generate reports and visualizations (charts, graphs, dashboards) to communicate findings effectively.
• Collaborate with senior analysts and business stakeholders to understand data requirements and project goals.
• Support the development and implementation of data models and algorithms.
• Learn and apply various data analysis techniques and software (e.g., SQL, Python, R, Excel).
• Ensure data accuracy and integrity throughout the analysis process.
• Contribute to the continuous improvement of data collection and analysis processes.
• Stay updated with the latest trends and best practices in data analytics.
• Present findings and recommendations to team members and management.

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Familiarity with database querying languages, particularly SQL.
• Exposure to data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic knowledge of programming languages like Python or R for data analysis is highly desirable.
• Excellent communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
• Ability to work independently and manage time effectively in a remote setting.
• A proactive attitude and eagerness to learn and develop new skills.
• Strong organizational skills and the ability to manage multiple tasks.
• Enthusiasm for data and its potential to drive business value.