111 Performance Metrics jobs in Bahrain

Technical Proficiency:

• Advanced expertise in data visualization and statistical plotting using tools such as Power BI, Python, and Matlab.
• Strong command of SQL for querying, data modeling, and ETL development.
• Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
• Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
• Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.

Analytical & Modeling Skills:

• Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
• Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
• Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Qualifications:

• Bachelor s degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master s degree is preferred.

Certifications:

• Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Required experience: Minimum of 5 8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

Job Description

VAM Systems is currently looking for Business Intelligence Engineer for our Bahrain operations with the following skillsets & terms and conditions:

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master's degree is preferred.

Certifications:

• Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Required experience: Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

Technical Proficiency:

• Advanced expertise in data visualization and statistical plotting using tools such as Power
• BI, Python, and Matlab.
• Strong command of SQL for querying, data modeling, and ETL development.
• Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
• Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
• Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.

Analytical & Modeling Skills:

• Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
• Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
• Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Competencies:

• Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.
• Analytical & Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and
• derive actionable insights that support strategic decision-making.
• Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize
• queries for performance and scalability.
• Communication & Presentation: Excellent verbal and written communication skills, with the ability to present
• complex data findings clearly and persuasively to both technical and non-technical stakeholders.
• Collaboration & Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and
• adaptable mindset in fast-paced environments.

Terms and conditions

Joining time frame: days)

Job Description
VAM Systems is currently looking for
Business Intelligence Engineer
for our Bahrain operations with the following skillsets & terms and conditions:

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field is required. A Master's degree is preferred.

Certifications:

• Professional certifications in Microsoft Power BI or equivalent BI platforms are preferred.

Required experience
: Minimum of 5–8 years of hands-on experience in Business Intelligence and data analytics, preferably within the banking or financial services sector.

Technical Proficiency:

• Advanced expertise in data visualization and statistical plotting using tools such as Power
• BI, Python, and Matlab.
• Strong command of SQL for querying, data modeling, and ETL development.
• Solid understanding of data warehousing concepts and experience with platforms like SAS and Microsoft SQL Server.
• Familiarity with cloud-based BI platforms (e.g., Azure, AWS) is a strong advantage.
• Experience in Python and statistical programming, with exposure to AI/ML tools, algorithms, and methods.

Analytical & Modeling Skills:

• Proven ability to work with large-scale datasets and deliver production-grade analytics solutions.
• Skilled in data preparation, including rationalizing, classifying, deriving, and calculating model input variables.
• Experience applying natural language processing (NLP) and computer vision techniques to unstructured data is a plus.

Competencies:

• Banking Domain Expertise: Proven experience in the financial services industry, preferably banking, with a strong understanding of core banking functions such as Risk, Finance, Corporate/Retail Banking, Treasury, and the customer lifecycle.
• Analytical & Problem-Solving Skills: Exceptional ability to analyze complex datasets, perform data profiling, and
• derive actionable insights that support strategic decision-making.
• Technical Proficiency: Strong command of SQL and relational databases, with the ability to design and optimize
• queries for performance and scalability.
• Communication & Presentation: Excellent verbal and written communication skills, with the ability to present
• complex data findings clearly and persuasively to both technical and non-technical stakeholders.
• Collaboration & Agility: Demonstrated success working in agile, cross-functional teams, with a proactive and
• adaptable mindset in fast-paced environments.

Terms and conditions

Joining time frame: days)

• Managing day to day operational tasks and coordination across staff.

• Preparing financial, forecasts, sales, and warehouse reports.

• Supporting business intelligence through dashboards, data analysis, and KPI tracking.

• Assisting direct manager by providing actionable insights

• Assist in collecting, cleaning, and organizing data from various business systems.
• Support the creation and maintenance of business intelligence reports and dashboards.
• Perform data analysis to identify trends, patterns, and insights.
• Validate data accuracy and ensure data integrity.
• Assist in the development of data visualizations for presentations.
• Collaborate with team members to understand data requirements.
• Learn and apply new BI tools and techniques.
• Contribute to ad-hoc data analysis requests.
• Document data sources and analysis methodologies.
• Participate in team meetings and training sessions.

• Bachelor's degree in Business Administration, Statistics, Economics, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in Microsoft Excel is required.
• Basic understanding of data analysis principles and statistical concepts.
• Familiarity with BI tools (e.g., Tableau, Power BI) is a plus.
• Excellent attention to detail and accuracy.
• Good communication and interpersonal skills.
• Eagerness to learn and develop skills in data analytics.
• Ability to work effectively in a team environment.

• Assist in the collection, cleaning, and transformation of data from various sources.
• Perform data analysis to identify trends, patterns, and anomalies.
• Develop and maintain reports and dashboards using BI tools to visualize data and communicate findings.
• Support business units in understanding their data and identifying key performance indicators (KPIs).
• Collaborate with data engineers to ensure data quality and availability.
• Assist in the development of SQL queries to extract and manipulate data from databases.
• Document data definitions, analysis methodologies, and reporting procedures.
• Participate in team meetings and contribute to project discussions.
• Learn and apply new data analysis techniques and tools.
• Help in preparing presentations that summarize key findings and recommendations for stakeholders.

• 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 Looker is a plus.
• Proficiency in Microsoft Excel for data analysis and reporting.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Good written and verbal communication skills.
• Ability to work independently and as part of a remote team.
• Eagerness to learn and develop new skills in data analytics and business intelligence.
• A foundational understanding of statistical concepts is beneficial.

• Assist in the collection, cleaning, and pre-processing of large datasets from various sources.
• Perform basic data analysis to identify trends, patterns, and anomalies.
• Support the creation and maintenance of reports and dashboards using BI tools.
• Help to extract and interpret data to provide insights into business performance.
• Collaborate with team members on data-related projects.
• Assist in the preparation of data visualizations for presentations.
• Learn and apply various data analysis techniques and tools.
• Document data sources, methodologies, and findings.
• Contribute to data quality assurance processes.
• Support ad-hoc data analysis requests from different departments.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Proficiency in spreadsheet software (e.g., Microsoft Excel).
• Basic knowledge of SQL for data extraction is desirable.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work collaboratively in a team environment.

• Assist in the collection and extraction of data from various sources, including databases and spreadsheets.
• Cleanse, transform, and validate data to ensure accuracy and consistency for analysis.
• Perform basic data analysis to identify trends, patterns, and insights.
• Create reports, dashboards, and visualizations using BI tools to present findings.
• Support senior analysts in developing analytical models and performing statistical analysis.
• Document data sources, methodologies, and findings clearly and concisely.
• Collaborate with team members in a remote setting, participating in virtual meetings and discussions.
• Learn and apply new data analysis techniques and tools.
• Assist in ad-hoc data requests and projects as needed.
• Contribute to maintaining data integrity and quality standards.

• Recent graduate with a Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of data analysis principles and techniques.
• Familiarity with SQL for data querying is a plus.
• Exposure to data visualization tools (e.g., Tableau, Power BI, Excel charts) is advantageous.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and accuracy.
• Good written and verbal communication skills, suitable for a remote workplace.
• Ability to work independently and manage time effectively during this internship.
• Proactive attitude and eagerness to learn.
• This remote internship supports business functions for our client located near Jidhafs, Capital, BH .

• Assist in developing and implementing statistical and machine learning models.
• Clean, preprocess, and analyze large datasets from various business units.
• Create data visualizations and reports to communicate findings to stakeholders.
• Support senior data scientists in model validation and performance monitoring.
• Collaborate with business analysts to understand data requirements and provide insights.
• Perform ad-hoc data analysis to support strategic initiatives.
• Contribute to the development of data pipelines and ETL processes.

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Strong understanding of statistical principles and data modeling techniques.
• Proficiency in Python or R for data analysis.
• Experience with SQL for database querying.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Eagerness to learn and develop skills in a dynamic environment.