What Jobs are available for IT Analyst in Bahrain?

Job Description

VAM Systems is currently looking for Data Analyst - 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.

Languages:

• English
• Arabic

Terms and conditions

Joining time frame: days)

Numeral is building the automation backbone for internet commerce — starting with the painful world of sales tax compliance. We handle everything from registration to remittance, delivering a white-glove service so e-commerce businesses can stay laser-focused on what they do best: growing their products, customers, and teams.

We're one of the fastest-growing companies from Y Combinator's W23 batch, backed by top-tier investors including Benchmark Capital. Our team has deep roots from the early days at Stripe, Airbnb, Notion, and other breakout companies — and now we're bringing that same level of craft, speed, and ambition to a space that's long overdue for reinvention.

Numeral is small but mighty. Growth is already borderline unmanageable — which means every hire we make now will directly shape the trajectory of the company. If you're excited about joining as an early team member and want the kind of ownership that defines careers, we want to meet you.

Running an online business today means wearing a thousand hats — most of them not the reason founders started their company. Our mission is to eliminate the administrative and accounting burdens that distract businesses from doing what they love.

We've already helped hundreds of merchants avoid the headache of building giant finance teams just to manage tax compliance. Tomorrow, we're scaling that impact even further: building the automation layer that lets internet businesses stay nimble, compliant, and future-proof.

As a Data Analyst at Numeral, you'll be embedded in the engine room of our operations—playing a critical role in reconciling customer data, improving data quality, and making our platform smarter and more scalable. You'll work closely with Engineering, Product, and CX teams to ensure customers have clean, actionable data at their fingertips and smooth onboarding experiences.

This is a foundational role with outsized impact. You'll get to shape how we use data across the business - no bureaucratic layers, just real ownership and real outcomes.

• Reconcile financial and transactional data from multiple sources to enable accurate, repeatable sales tax filings

• Normalize customer data across platforms (e.g. Stripe, Shopify, Numeral API) to ensure integrity in tax workflows

• Partner with Sales, Engineering, Product, and Solutions teams to troubleshoot and resolve onboarding data issues

• Support our customer-facing teams with ad hoc data questions, investigations, and insights

• Build internal tooling and processes to streamline reconciliation and improve onboarding throughput

• Improve the fidelity and performance of our DBT pipelines and help evolve our broader data architecture

• Proficient in SQL and Excel / Google Sheets

• Strong analytical and pattern recognition skills across large, messy, or multi-source datasets

• Experience reconciling financial or transactional data (ideally in an e-commerce or payments environment)

• Strong problem-solving skills and ability to operate with autonomy in fast-moving environments

• Clear communicator with high attention to detail and a collaborative mindset

• Experience with DBT or similar ETL frameworks

• Familiarity with Stripe, Shopify, Fivetran, Parquet, S3, DuckDB

• Comfort navigating REST APIs and programmatically transforming data (e.g. Python or other scripting languages)

• Prior exposure to tax, compliance, or accounting-related data

• A background in operations, finance, or technical customer success

• Be a core builder in an ambitious, globally minded startup.

• Learn hands-on how to scale international compliance systems.

• Work across functions and with leadership early in your career.

• Make a visible impact immediately through enablement and operational design.

• Enjoy a flexible, remote-first culture with strong mentorship and ownership opportunities.

Company Description

TAM-C Solutions empowers clients with actionable intelligence, enabling them to conduct their business in a risk-acceptable environment. This forward-thinking approach helps clients leverage data to make informed decisions and manage their operations more efficiently. The company is committed to delivering high-quality solutions that provide valuable insights and enhance business performance.

Role Description

This is a full-time, on-site role for a Data Analyst, located in Manama. The Data Analyst will be responsible for collecting, analyzing, and interpreting complex data sets to provide actionable insights. Day-to-day tasks include generating reports, creating data visualizations, and collaborating with various departments to support data-driven decision-making. The role also involves ensuring data accuracy and integrity, identifying trends, and making recommendations based on data analysis.

Qualifications

• Strong skills in data collection, analysis, and interpretation
• Chinese speaking, writing and reading
• Experience with data visualization tools and report generation
• Proficiency in statistical analysis and data modeling techniques
• Strong problem-solving skills and attention to detail
• Excellent written and verbal communication skills
• Knowledge of SQL, Python, R, or other data analysis software is a plus
• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
• Ability to work on-site in Manama

Job Description

VAM Systems is currently looking for Data Analyst - Power BI 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.

Languages:

• English
• Arabic

Terms and conditions

Joining time frame: days)

• Gather data from various sources, including databases, spreadsheets, and external APIs.
• Clean, transform, and preprocess raw data to ensure accuracy and consistency for analysis.
• Develop and implement data analysis methodologies to uncover insights and identify key performance indicators (KPIs).
• Create compelling data visualizations, dashboards, and reports to communicate findings to stakeholders across different departments.
• Interpret complex data sets and provide clear, concise recommendations based on findings.
• Collaborate with business leaders to understand their data needs and provide solutions.
• Identify opportunities for process improvements and automation in data collection and analysis.
• Stay current with industry trends and best practices in data analysis and business intelligence.
• Perform ad-hoc analysis as required to support strategic decision-making.
• Contribute to the development and maintenance of data dictionaries and documentation.
• Effectively present findings and insights to both technical and non-technical audiences during in-office and remote meetings.

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst or in a similar role.
• Proficiency in data querying languages such as SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Familiarity with statistical analysis techniques and tools (e.g., R, Python libraries like Pandas, NumPy).
• Excellent communication and presentation skills, able to articulate complex findings simply.
• Ability to manage multiple projects and meet deadlines.
• Experience working in a hybrid work environment is beneficial.

• Assist in the collection and aggregation of data from various sources.
• Clean, transform, and validate data to ensure accuracy and consistency.
• Perform data analysis using statistical techniques and tools to identify patterns and trends.
• Develop reports, dashboards, and visualizations to present findings to stakeholders.
• Support senior analysts in more complex analytical projects.
• Contribute to the development and maintenance of data dictionaries and documentation.
• Identify opportunities for process improvements in data collection and analysis.
• Learn and apply new analytical methods and technologies.
• Communicate findings clearly and concisely, both verbally and in writing.
• Collaborate with cross-functional teams to understand their data needs and provide relevant insights.

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• Strong understanding of statistical concepts and methods.
• Proficiency in data analysis tools such as Excel, SQL, and basic Python or R is highly desirable.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and accuracy.
• Good written and verbal communication skills.
• Ability to work both independently and as part of a team.
• Eagerness to learn and adapt to new technologies and methodologies.
• Prior internship or project experience in data analysis is advantageous.

• Assisting in the design and implementation of data collection systems and strategies.
• Cleaning and transforming raw data to ensure accuracy and consistency.
• Performing exploratory data analysis to identify trends, patterns, and anomalies.
• Developing reports and dashboards to visualize data and communicate findings effectively.
• Supporting senior team members in ad-hoc data requests and analysis projects.
• Collaborating with cross-functional teams to understand their data needs and provide analytical support.
• Maintaining data integrity and security protocols.
• Documenting data processes and methodologies.
• Participating in team meetings and contributing to the continuous improvement of data analysis practices.
• Learning and applying new data analysis tools and techniques.

• Assist in the collection and organization of data from various sources.
• Perform data cleaning and validation to ensure accuracy and integrity.
• Conduct basic data analysis to identify patterns, trends, and anomalies.
• Generate reports and visualizations to communicate findings to the team.
• Support senior analysts in developing analytical models and methodologies.
• Learn and apply various data analysis tools and techniques.
• Contribute to data documentation and process improvement initiatives.
• Participate in team meetings and project discussions.
• Develop an understanding of business objectives and how data analysis supports them.
• Assist in the preparation of presentations summarizing analytical results.