10 Data Warehousing Solutions jobs in Bahrain

• Assist in collecting and cleaning data from multiple sources.
• Perform basic data analysis and identify trends and patterns.
• Help create reports and dashboards using business intelligence tools.
• Support senior analysts in developing data visualizations.
• Document data sources, methodologies, and findings.
• Assist in ad-hoc data requests and analysis projects.
• Learn and apply new data analysis techniques and tools.
• Collaborate with team members in a remote setting.
• Contribute to data quality improvement initiatives.
• Gain practical experience in business intelligence concepts.

• Currently pursuing a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Foundational understanding of data analysis principles and statistical concepts.
• Familiarity with data analysis tools such as Excel, SQL, or Python/R is a plus.
• Basic knowledge of business intelligence platforms (e.g., Tableau, Power BI) is an advantage.
• Strong analytical and problem-solving skills.
• Excellent attention to detail.
• Good 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.
• Must be legally authorized to work in the relevant region.

• Assist in gathering and organizing data from various sources.
• Perform data cleaning and preparation for analysis.
• Conduct exploratory data analysis to identify trends and patterns.
• Create reports and dashboards using BI tools (e.g., Tableau, Power BI).
• Support senior analysts in developing data-driven recommendations.
• Validate data accuracy and integrity.
• Assist in ad-hoc data requests and analyses.
• Learn and apply various data analysis techniques.
• Contribute to team meetings and project discussions.
• Help in documenting data processes and methodologies.

• Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel.
• Familiarity with SQL is a plus.
• Basic understanding of data visualization tools (e.g., Tableau, Power BI) is beneficial.
• Eagerness to learn and develop skills in data analysis and BI.
• Excellent attention to detail.
• Good written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.
• Team player with a positive attitude.

• Assist in the collection, cleaning, and organization of large datasets from various sources.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Develop and maintain reports and dashboards using business intelligence tools (e.g., Tableau, Power BI).
• Support senior analysts in ad-hoc data requests and analysis projects.
• Learn and apply data visualization techniques to present findings effectively.
• Collaborate with team members to understand business requirements and translate them into data needs.
• Assist in data validation and quality assurance processes.
• Gain exposure to SQL and other data querying languages.
• Participate in team meetings and contribute to project discussions.
• Document data sources, methodologies, and reporting processes.
• Help identify opportunities for process improvements in data management and reporting.

• Currently pursuing a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Foundational understanding of data analysis concepts and statistical principles.
• Familiarity with spreadsheet software such as Microsoft Excel (pivot tables, VLOOKUPs).
• Basic knowledge of SQL is a plus.
• Eagerness to learn and apply new tools and technologies.
• Strong attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work effectively both independently and as part of a team.
• Proactive attitude and willingness to take initiative.
• Previous internship or project experience involving data analysis is beneficial but not required.

• Assist in gathering and organizing data from various sources for analysis.
• Perform data cleaning and preparation to ensure data accuracy and integrity.
• Support the development and generation of regular reports and dashboards using BI tools (e.g., Tableau, Power BI).
• Analyze data to identify trends, patterns, and insights that can inform business strategy.
• Collaborate with senior analysts to understand business requirements and translate them into data-driven solutions.
• Assist in creating visualizations and presentations to communicate findings to stakeholders.
• Learn and apply statistical techniques to analyze datasets.
• Participate in team meetings and contribute to project discussions.
• Document data analysis processes and methodologies.
• Gain exposure to different aspects of business intelligence and data analytics within the financial sector.
• Support ad-hoc data requests from various departments.
• Adhere to data governance policies and ensure data security.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel, including advanced functions (e.g., PivotTables, VLOOKUP).
• Familiarity with data visualization tools like Tableau or Power BI is a significant advantage.
• Basic understanding of database concepts and SQL is preferred.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment and manage multiple tasks.
• Eagerness to learn and a proactive attitude towards acquiring new skills.
• Must be eligible to undertake an internship in Bahrain.

• Assist in the collection, cleaning, and processing of large datasets from various sources.
• Perform data analysis to identify key trends, patterns, and anomalies.
• Develop and maintain reports and dashboards using business intelligence tools (e.g., Tableau, Power BI).
• Support business units by providing data-driven insights to inform strategic planning and operational improvements.
• Collaborate with senior analysts to understand business requirements and translate them into analytical solutions.
• Contribute to the development and implementation of data governance best practices.
• Assist in the creation of presentations and visualizations to communicate complex findings to non-technical audiences.
• Learn and apply advanced analytical techniques and statistical methods.
• Participate in team meetings and contribute to ongoing projects.
• Stay updated on the latest trends and tools in data analysis and business intelligence.

• Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in SQL for data extraction and manipulation.
• Familiarity with data visualization tools such as Tableau, Power BI, or similar.
• Basic knowledge of programming languages like Python or R for data analysis is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to explain technical concepts to a diverse audience.
• Eagerness to learn and a proactive attitude towards taking on new challenges.
• Ability to work independently and as part of a team.
• High level of attention to detail and accuracy.

• Assisting in the extraction and querying of data from various sources using SQL.
• Cleaning, transforming, and preparing data for analysis.
• Developing and maintaining reports and dashboards to track key performance indicators (KPIs).
• Supporting senior analysts in conducting in-depth data analysis to identify trends and patterns.
• Creating visualizations to effectively communicate data insights.
• Collaborating with cross-functional teams to understand data needs and provide analytical support.
• Documenting data processes, methodologies, and findings.
• Participating in team meetings and contributing to discussions on data strategy.
• Staying abreast of new tools and techniques in data analysis and business intelligence.
• Providing general support to the Business Intelligence department as needed.

Business Unit: stc

Sector: Business

Location:

Contract Type: Full Time

Closing Date: 04-Sep-2025

Lead the development and management of cloud-based data-driven solutions, leveraging AWS partnership to create impactful customer offerings. Collaborate with the presales team to design and position innovative products and solutions for customers.

• Identify, define, and prioritize cloud-based data solutions.
• Lead the design, development, and deployment of scalable data products and services.
• Develop strategies to address customer pain points in data storage, processing, and analysis.
• Partner with engineering teams to execute the product roadmap.
• Collaborate with presales to create tailored cloud solutions, focusing on AWS opportunities.
• Act as technical advisor during client engagements, emphasizing the value of solutions.
• Engage with customers to understand their data challenges and align solutions.
• Conduct competitive analysis for AWS products and services.
• Gather feedback to refine product offerings.
• Perform other responsibilities as assigned.

This role is crucial in driving adoption and success of our cloud-based data solutions, directly impacting product development and enhancement. Collaboration across teams ensures products meet market demands, improve customer satisfaction, and support organizational growth.

• Deep understanding of Cloud technologies.
• Knowledge of industry trends and the competitive landscape in cloud data solutions.
• Excellent communication skills for technical and non-technical audiences.
• Strong troubleshooting and problem-solving abilities.
• Experience working in cross-functional teams.

• Bachelor’s degree in Business Administration, Engineering, IT, or relevant field.
• AWS Certified Solutions Architect – Professional.
• Minimum 8 years of relevant experience.

If interested and qualified, please submit your application along with the required documents.