461 Business Analyst jobs in Bahrain

Job Title

Business Analyst

Division

Strategy & Business Development

Department

EPMO

Unit

Process Excellence

Reporting To

Process Excellence Lead

JOB PURPOSE

This role falls within the continuous improvement drive to uplift the Group and simplify all processes within. Its major objective is to study existing processes and research, evaluate, recommend and design optimized processes and requirements for products, projects and applications. In addition, this role is a support role for any other activities within the realm Process Excellence unit.

Core Responsibilities

Evaluate business processes, identify gaps, anticipate requirements, and uncover areas for improvement.

Document detailed As-Is processes including process maps and standard operating procedures.

Analyse current work practices as needed and develop optimization strategies.

Critically evaluate information gathered from multiple sources, decompose high level information into details, abstract up from low level information to a general understanding and distinguish user requests from underlying true needs of Business.

Document detailed To-Be processes including business scenarios, standard operating procedures, and graphical representation.

Update and maintain the business process catalogue and repository.

Conduct meetings, workshops, and presentations to share ideas and findings and demonstrate the process maps.

Proactively and effectively communicate results of requirements analysis, insights and plans to cross-functional team members.

Collaborate with internal and external customers (stakeholders) to analyse information and develop functional requirements.

Support in the preparation of BRDs to ensure the requirements are in line with the proposed design.

Conduct reviews to ensure that business requirement statements are feasible, complete, comprehensible and in line with the approved strategy and does not contradict or conflict with other business / project / product / service requirements.

Review BRDs and FSDs and work closely with IT team to translate and clarify the requirements to IT BAs.

Perform user acceptance testing and ensure the business application / system works as per the requirement specification.

Collect periodic KPIs for the digital products and produce reports (graphs, trend analysis, etc.) Analyse the KPIs and recommend improvements to processes / products.

Plan, coordinate and prioritize all activities as per Process Excellence Lead requirements.

Monitor deliverables and ensure timely completion of assignments.

Support Process Excellence Lead in group wide process optimization and automation initiatives.

Provide coaching to juniors and new analysts.

Self- Management Responsibilities

Define performance goals at the start of the year in discussion with the reporting manager and ensure that the goals are monitored and achieved during the course of the year.

Take ownership of his/her own learning agenda by identifying development needs in consultation with the reporting manager and working towards bridging the gaps through various means which go beyond just training.

Understand the competencies relevant to his/her role, and work towards displaying as well as developing these effectively.

Keep abreast of relevant professional/industry developments, new techniques and current issues through continued education and professional networks.

QUALIFICATIONS AND EXPERIENCE

Bachelor's degree in business information system, Science or Business Administration, or any major field of study is required with relevant experience associated

Minimum of 2-5 years' experience in similar work preferably in Banking, Consulting, and/or IT background

SKILLS AND COMPETENCIES

Skills:

Exceptional analytical and conceptual thinking skills

Excellent communication skills

Detail oriented

Organized and excellent documentation skills Project planning & management Competencies:

Attention to details

Critical thinking

Organizing for results

Competency in MS Office suite

Job Types: Full-time, Contract

Contract length: 36 months

Pay: BD BD per month

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform data analysis using SQL, Python, or R to identify trends, patterns, and anomalies.
• Develop and maintain dashboards and reports using business intelligence tools (e.g., Tableau, Power BI) to visualize key metrics.
• Support the development of predictive models and statistical analyses.
• Collaborate with business stakeholders to understand their data needs and provide relevant insights.
• Document data sources, methodologies, and analysis processes.
• Identify opportunities for data quality improvements and process enhancements.
• Stay up-to-date with the latest trends and technologies in data analytics and business intelligence.
• Assist in the preparation of presentations and summaries of findings for management.
• Ensure data accuracy and integrity in all analytical outputs.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in SQL for data querying and manipulation.
• Familiarity with programming languages such as Python or R for data analysis is a plus.
• Experience with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong attention to detail and commitment to data accuracy.
• Effective communication and interpersonal skills, with the ability to explain complex findings clearly.
• Ability to work independently and collaboratively in a remote team environment.

• Collect, clean, and transform raw data from various sources into usable formats for analysis.
• Perform data analysis to identify trends, patterns, and insights that can inform business strategies.
• Develop and maintain reports, dashboards, and visualizations using BI tools (e.g., Tableau, Power BI, Looker).
• Assist in the creation of ad-hoc reports and perform data mining as requested by business stakeholders.
• Support the maintenance and improvement of existing data models and reporting structures.
• Collaborate with business units to understand their data needs and provide relevant insights.
• Ensure data accuracy and integrity throughout the analysis and reporting processes.
• Participate in team meetings and contribute to the continuous improvement of data analysis methodologies.
• Learn and apply statistical techniques to analyze data effectively.
• Document data analysis processes, methodologies, and findings.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
• Basic understanding of data analysis principles and techniques.
• Familiarity with SQL for data extraction and manipulation.
• Exposure to data visualization tools such as Tableau, Power BI, or similar.
• Proficiency in Microsoft Excel for data analysis and reporting.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Eagerness to learn and develop skills in data analysis and business intelligence.
• Ability to work effectively both independently and as part of a hybrid team.
• Prior internship or project experience in data analysis is a plus.

• Assist in the collection, cleaning, and preparation of data from various sources.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Develop reports and dashboards using business intelligence tools (e.g., Tableau, Power BI).
• Support senior analysts in creating data visualizations and presentations.
• Collaborate with team members to understand data requirements and deliver actionable insights.
• Help maintain data integrity and accuracy.
• Learn and apply statistical techniques for data analysis.
• Contribute to documentation of data processes and analysis methodologies.
• Participate in team meetings and contribute to project discussions.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Foundational understanding of data analysis principles and statistical concepts.
• Familiarity with data analysis tools and programming languages such as SQL, Python, or R is a plus.
• Exposure to business intelligence tools like Tableau or Power BI is beneficial.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent attention to detail and organizational abilities.
• Good written and verbal communication skills.
• Ability to work collaboratively in a team environment and demonstrate eagerness to learn.
• Proactive and self-motivated with a strong desire to develop data analysis skills.

• Assist in collecting, cleaning, and pre-processing data from various sources.
• Perform basic data analysis using statistical methods and tools.
• Support the creation and maintenance of reports and dashboards using Business Intelligence software (e.g., Power BI, Tableau).
• Help identify trends, patterns, and insights within datasets.
• Collaborate with team members on data-related projects.
• Document data sources, methodologies, and findings.
• Assist in ad-hoc data requests from various departments.
• Learn and apply data visualization techniques to present information clearly.
• Participate in team meetings and contribute to discussions on data insights.
• Gain practical experience in data warehousing concepts and database querying (SQL).

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• Strong understanding of basic statistical concepts and data analysis principles.
• Familiarity with data analysis tools and software (e.g., Excel, SQL, Python/R is a plus).
• Exposure to Business Intelligence tools like Power BI or Tableau is advantageous.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Good communication and teamwork abilities.
• Eagerness to learn and develop skills in data analytics.
• Ability to work independently and manage tasks effectively.

• Assist in the collection, cleaning, and preprocessing of data from diverse sources.
• Perform exploratory 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 the development and execution of data-driven projects.
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Assist in the interpretation of data and the generation of actionable insights.
• Document data sources, methodologies, and findings.
• Contribute to the continuous improvement of data management and reporting processes.
• Learn and apply new analytical techniques and tools as required.
• Maintain data integrity and confidentiality.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
• Strong understanding of statistical concepts and analytical principles.
• Proficiency in SQL for data extraction and manipulation.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Familiarity with programming languages like Python or R for data analysis is a plus.
• Excellent attention to detail and accuracy.
• Strong analytical and problem-solving skills.
• Good communication and interpersonal skills, with the ability to work effectively in a remote team.
• Eagerness to learn and a proactive attitude towards taking on new challenges.
• Ability to manage time effectively and meet deadlines.

• Assist in collecting and cleaning data from various sources.
• Perform basic statistical analysis and identify trends.
• Contribute to the development of reports and dashboards.
• Ensure data accuracy and integrity for analysis.
• Support senior analysts with ad-hoc data requests.
• Learn and apply data visualization techniques.
• Participate in team meetings and contribute to analytical discussions.
• Develop an understanding of business intelligence tools and methodologies.
• Document data sources, methodologies, and findings.
• Collaborate with cross-functional teams on data-related projects.

• Recent graduate with a degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving abilities.
• Proficiency in Microsoft Excel.
• Basic understanding of SQL, Python, or R is a plus.
• Excellent attention to detail and accuracy.
• Eagerness to learn and develop new skills.
• Good communication and presentation skills.
• Ability to work effectively in a team environment.
• Proactive attitude and strong work ethic.
• Interest in data analysis and business intelligence.

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform data analysis to identify trends, patterns, and insights relevant to business objectives.
• Support the development and generation of regular reports and dashboards using BI tools.
• Help create data visualizations to communicate findings effectively to non-technical audiences.
• Collaborate with senior data analysts to understand project requirements and deliver on assigned tasks.
• Learn and apply various data analysis techniques and methodologies.
• Participate in meetings with business stakeholders to understand their data needs.
• Contribute to data quality checks and validation processes.
• Assist in documenting data sources, methodologies, and analysis procedures.
• Gain exposure to business intelligence platforms and database management concepts.
• Support ad-hoc data requests from different departments.
• Actively seek feedback and learning opportunities to enhance analytical skills.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Economics, Computer Science, Mathematics, Business Analytics, or a related quantitative field.
• Strong understanding of fundamental statistical concepts and data analysis principles.
• Familiarity with data manipulation and analysis using tools such as Excel, SQL, Python (Pandas, NumPy), or R.
• Exposure to business intelligence tools like Tableau, Power BI, or QlikView is a plus.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work effectively both independently and as part of a team.
• Eagerness to learn and adapt to new technologies and methodologies.
• Proactive attitude and a willingness to take on new challenges.
• Must be eligible to work in Bahrain and available for a hybrid work arrangement in Nuwaidrat.