146 Technical Analyst jobs in Bahrain

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.

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 Requirements:

Experience:
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 the banking industry. 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 different data structures: structured, semi-structured, and unstructured data.

• Wholesale Banking/Transaction Banking acumen, including understanding Transaction Banking concepts, practices, and domain language to engage in problem-solving activities and discuss business issues in stakeholder language.
• Journey and Business process transformation, including the ability to understand how AI and Analytics can help redesign the way work is done.
• Business lines data, including the structure, ownership, and use within an organization.
• Knowledge and expertise of Transaction Banking products such as Cash Management, Trade Finance, Supply Chain Finance, Receivable finance, Liquidity Management, and Treasury solutions, along with relevant data requirements.

• Programming languages: SQL, Python, or R and notebooks like R Studio or Jupyter.
• Data visualization Tools: 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.

• Assisting in the collection, cleaning, and preparation of data from various sources.
• Performing exploratory data analysis to identify trends, patterns, and anomalies.
• Developing and implementing data models and algorithms to solve business problems.
• Creating reports, dashboards, and visualizations to communicate findings effectively to both technical and non-technical audiences.
• Supporting the development of data-driven strategies across different departments.
• Collaborating with cross-functional teams to understand their data needs and provide analytical support.
• Ensuring data accuracy, integrity, and consistency in all analyses.
• Learning and applying new data analysis techniques and tools.
• Contributing to the continuous improvement of data infrastructure and processes.
• Presenting findings and recommendations to team members and management.
• Participating in brainstorming sessions for new data-driven projects.
• Building relationships with data providers and internal data stakeholders.
• Maintaining documentation for data sources, methodologies, and analyses.

• Collect, process, and clean large datasets from various sources to ensure data accuracy and integrity.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop and implement data visualizations and dashboards to effectively communicate findings to stakeholders.
• Assist in the development and maintenance of reports and key performance indicators (KPIs).
• Collaborate with cross-functional teams to understand data needs and provide analytical support.
• Conduct market research and competitive analysis using data-driven approaches.
• Assist in the creation of predictive models and statistical analyses under the guidance of senior team members.
• Stay updated with the latest trends and technologies in data analytics and business intelligence.
• Contribute to the continuous improvement of data collection, analysis, and reporting processes.
• Maintain data documentation and ensure compliance with data governance policies.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis methodologies.
• Proficiency in data analysis tools such as Excel, SQL, and statistical software (e.g., R, Python with libraries like Pandas, NumPy, Matplotlib, Seaborn).
• Experience with data visualization tools like Tableau or Power BI is a plus.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong communication and presentation skills, with the ability to explain complex data findings to a non-technical audience.
• Ability to work independently and as part of a team in a fast-paced environment.
• Proactive and eager to learn new technologies and techniques.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Proficiency in Microsoft Excel.
• Familiarity with SQL is a plus.
• Knowledge of data visualization tools (e.g., Tableau, Power BI) is advantageous.
• Basic understanding of statistical concepts.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment.
• Must be legally authorized to work in the specified location.