1 317 IT Analyst jobs in Bahrain

Position: Data Analyst

Location: Kingdom of Bahrain

Employment Type: Full-time

Company: Nass Corporation

Nass Corporation is seeking a highly motivated and detail-oriented Data Analyst to join our team. This role is instrumental in supporting data-driven decision-making by delivering accurate analysis, insights, and reports across various business functions. The ideal candidate will possess strong analytical skills, proficiency in data tools, and a keen eye for detail, contributing to the company’s strategic goals and operational efficiency.

Key Responsibilities:

• Analyse and interpret large datasets to identify trends, variances, and actionable insights to support corporate decision-making.
• Develop, automate, and maintain dashboards and reports using Power BI, Excel, and other data visualization tools.
• Collaborate with departments including HR, Finance, and Operations to understand reporting needs and ensure data relevance and accuracy.
• Assist in data cleansing, validation, and standardization processes to improve data integrity across platforms.
• Support data-driven initiatives by providing historical analysis and forecasting based on company KPIs and business metrics.

Qualifications:

• Bachelor’s degree in Business Informatics, Data Analytics/Science, Statistics, Management Information Systems , or a closely related field.
• Preferred : Industry-recognized certifications in data analytics tools (e.g., Microsoft Power BI, Google Data Analytics, Tableau).
• Preferred: relevant experience in a data analyst or reporting-focused role.
• Strong command of Microsoft Excel, Power BI, and familiarity with SQL or similar database query languages.
• Ability to communicate analytical findings clearly to both technical and non-technical audiences.
• High attention to detail, time management, and organizational skills.

Why Join Nass Corporation?

As a leading player in the construction and industrial sectors in the GCC, Nass Corporation offers a dynamic and collaborative environment where analytical insights directly support strategic planning and operational efficiency. This role provides a unique opportunity to be part of our digital transformation journey and contribute meaningfully to enterprise-wide improvements.

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Array is currently seeking an exceptional Senior technical Business Analyst with hands-on experience with software development projects to join our accomplished team. As a Business Analyst, you will play a pivotal role in writing detailed business requirement for Software engineering projects (BRD) , analysing business requirements, identifying opportunities for improvement, and providing data-driven recommendations. Join us in our mission to help businesses thrive by leveraging data and analytics to make better decisions.

Key Competencies:

• Excellent communication and presentation skills , with the ability to convey complex information clearly and concisely.
• Strong organizational skills , with the ability to manage multiple projects and priorities in a fast-paced environment.
• Proven ability to work collaboratively with cross-functional teams and build strong relationships with stakeholders.
• Strong analytical and problem-solving skills , with the ability to interpret complex data and provide actionable insights.
• Continuous learning mindset and a commitment to staying updated with industry trends and best practices.
  
  

• Gather and document business requirements from stakeholders, ensuring a clear understanding of project objectives through BRDs, UML diagrams and user stories .
• Collaborate with stakeholders and cross-functional teams to design and implement solutions that address business challenges and opportunities.
• Ensure that solutions are aligned with business objectives and provide measurable benefits.
  
  

• Evaluate existing business processes and workflows, identifying areas for improvement and optimization.
• Develop and implement process improvement strategies, enhancing efficiency and effectiveness.
  
  

• Serve as a liaison between business units and technical teams, facilitating communication and ensuring alignment.
  
  

• Conduct research on industry trends, market conditions, and competitor activities to provide strategic insights.
• Stay updated with the latest developments in business analysis methodologies, tools, and best practices.
  
  

• Strong academic background with the minimum of a bachelor’s degree from an recognized university.
• 3+ years of experience in business analysis, with experience in software development projects.
  
  

• Experience with startup culture – adaptability to the fast-paced, ever-changing environment.
• Experience with projects related to the financial services industry.
• Proficiency in data analysis tools and software, such as Excel, SQL, Tableau, or Power BI.
• Analyze and interpret complex data sets to identify trends, patterns, and insights that inform business decisions.
• Utilize data analysis tools and techniques to analyze business performance and identify key metrics and KPIs
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Business Development and Sales
• Industries Home Health Care Services

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Array is currently seeking an exceptional Senior Technical Business Analyst with hands-on experience in software development projects to join our accomplished team. As a Business Analyst, you will play a pivotal role in writing detailed business requirements for software engineering projects (BRD) , analyzing business requirements, identifying opportunities for improvement, and providing data-driven recommendations. Join us in our mission to help businesses thrive by leveraging data and analytics to make better decisions.

• Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely.
• Strong organizational skills, with the ability to manage multiple projects and priorities in a fast-paced environment.
• Proven ability to work collaboratively with cross-functional teams and build strong relationships with stakeholders.
• Strong analytical and problem-solving skills, with the ability to interpret complex data and provide actionable insights.
• Continuous learning mindset and a commitment to staying updated with industry trends and best practices.

• Gather and document business requirements from stakeholders, ensuring a clear understanding of project objectives through BRDs, UML diagrams, and user stories.
• Collaborate with stakeholders and cross-functional teams to design and implement solutions that address business challenges and opportunities.
• Ensure that solutions are aligned with business objectives and provide measurable benefits.

• Evaluate existing business processes and workflows, identifying areas for improvement and optimization.
• Develop and implement process improvement strategies, enhancing efficiency and effectiveness.

• Serve as a liaison between business units and technical teams, facilitating communication and ensuring alignment.

• Conduct research on industry trends, market conditions, and competitor activities to provide strategic insights.
• Stay updated with the latest developments in business analysis methodologies, tools, and best practices.

• Strong academic background with a minimum of a bachelor’s degree from a recognized university.
• 3+ years of experience in business analysis, with experience in software development projects.

• Experience with startup culture – adaptability to the fast-paced, ever-changing environment.
• Experience with projects related to the financial services industry.
• Proficiency in data analysis tools and software, such as Excel, SQL, Tableau, or Power BI.
• Ability to analyze and interpret complex data sets to identify trends, patterns, and insights that inform business decisions.
• Utilize data analysis tools and techniques to analyze business performance and identify key metrics and KPIs.

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform basic data analysis using statistical methods and tools.
• Help create visualizations and reports to present findings to stakeholders.
• Support senior analysts in identifying trends, patterns, and anomalies in data.
• Contribute to the development and maintenance of data dashboards.
• Collaborate with different departments to understand their data-related needs.
• Ensure data accuracy and integrity throughout the analysis process.
• Learn and apply new data analysis techniques and technologies.
• Document analysis processes and findings.
• Participate in team meetings and brainstorming sessions.

• Currently pursuing or recently completed 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 data analysis or programming language such as Python (Pandas, NumPy) or R.
• Familiarity with SQL for data querying is a plus.
• Excellent analytical and problem-solving skills.
• Good communication skills, both written and verbal.
• Ability to work with large datasets and manage multiple tasks effectively.
• Eagerness to learn and a proactive attitude.
• Attention to detail and accuracy.
• Previous internship or project experience in data analysis is an advantage.

• Assisting in the collection, cleaning, and pre-processing of large datasets from various sources.
• Performing exploratory data analysis to identify trends, patterns, and anomalies.
• Developing and implementing statistical models and machine learning algorithms.
• Creating visualizations and dashboards to communicate findings effectively to stakeholders.
• Collaborating with cross-functional teams to understand data needs and provide insights.
• Documenting data sources, methodologies, and findings.
• Supporting the development of data quality frameworks and best practices.
• Conducting literature reviews on relevant analytical techniques and technologies.
• Participating in team meetings and contributing to project planning.
• Continuously learning and applying new analytical tools and techniques.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis methodologies.
• Proficiency in programming languages such as Python or R.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong attention to detail and accuracy.
• Good communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
• Eagerness to learn and a proactive attitude towards challenges.
• Ability to work both independently and collaboratively in a team setting.

• Assist in collecting and organizing data from various sources.
• Clean and preprocess datasets to ensure accuracy and consistency.
• Perform basic data analysis and identify trends and patterns.
• Create data visualizations, charts, and graphs to communicate findings.
• Support senior analysts in generating reports and presentations.
• Assist in the development and maintenance of databases.
• Contribute to ad-hoc data analysis requests.
• Learn and apply new data analysis tools and techniques.
• Ensure data integrity and confidentiality.
• Collaborate with team members on data-related projects.

• Currently pursuing or recently completed a degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
• Strong analytical and quantitative skills.
• Proficiency in Microsoft Excel, including advanced functions like PivotTables and VLOOKUP.
• Familiarity with SQL is a plus.
• Basic understanding of data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work both independently and as part of a team.
• Proactive attitude and eagerness to learn.

• Assist in collecting, cleaning, and organizing data from various sources.
• Perform data analysis to identify trends, patterns, and insights.
• Develop and maintain databases and data systems.
• Create reports, dashboards, and visualizations to present findings.
• Assist in the development and implementation of data models.
• Collaborate with teams to understand data requirements and provide analytical support.
• Support the identification of key performance indicators (KPIs) and metrics.
• Learn and apply statistical analysis techniques.
• Contribute to data quality assurance processes.
• Participate in training sessions and team discussions.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Solid understanding of statistical concepts and data analysis principles.
• Proficiency in SQL for data extraction and manipulation.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Basic knowledge of programming languages like Python or R for data analysis is advantageous.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work collaboratively in a team environment.
• Eagerness to learn new technologies and analytical methods.

• Assisting in the collection and organization of data from various sources.
• Performing data cleaning and preprocessing to ensure data accuracy and consistency.
• Conducting exploratory data analysis to identify trends, patterns, and anomalies.
• Developing and generating reports and visualizations to communicate findings effectively.
• Supporting senior analysts in developing and maintaining dashboards.
• Collaborating with cross-functional teams to understand data needs and requirements.
• Learning and applying statistical methods and data analysis techniques.
• Contributing to the development of data models and analytical frameworks.
• Documenting data processes and methodologies.
• Assisting with ad-hoc data analysis requests from various departments.