975 Team Data jobs in Bahrain

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.

Job Title: Data Engineer

Professional Training: SQL Development, SAS EG, SAS DI, Object-oriented Programming (e.g., C#, Java)

Experience: At least 3 years in relevant roles

We are seeking a Data Engineer with expertise in:

• Developing within databases, specifically Microsoft SQL Server and/or Oracle
• Base SAS, SAS Web Report Studio, SAS Delivery Portal, SAS OLAP Cube Studio
• SAS Information Maps, SAS BI, SAS Stored Processes, SAS Datasets & Libraries
• Configuring and installing applications on servers (Windows/Linux/Unix), with basic knowledge of DNS, Ports, and Firewalls
• Managing distributed systems and clusters for batch and streaming data (Hadoop/Spark, Kafka/Flink)
• Handling semi-structured data formats such as JSON and XML
• Programming in C# or Java
• Writing advanced SQL queries, stored procedures, and functions
• Experience with ETL tools like SAS DI, SAS Enterprise Guide, and Microsoft SQL Server
• Understanding of financial reporting (Balance Sheet, Profit and Loss) and risk reporting

• Consolidate and analyze financial data, including budgets, forecasts, and statements
• Build stored procedures and ETL jobs for data reconciliation
• Contribute to data warehouse design and database solutions
• Develop SQL Server T-SQL procedures/functions for batch processing and reporting
• Create SAS EG and SAS DI jobs
• Research and resolve financial data discrepancies, manage month-end closing processes
• Solve complex problems, perform testing and troubleshooting

• Regulatory compliance
• ETL/ETT/ETM tools and processes
• Data warehouses and marts
• Financial data modeling and analysis

Technology Tools: SAS, SAS BI, MS SQL Server, T-SQL

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Join to apply for the Data Analyst role at Bidfood Middle East

Join to apply for the Data Analyst role at Bidfood Middle East

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About The Role

Bidfood ME is one of the leading foodservice companies in Bahrain and the Middle East, looking for motivated and enthusiastic

About The Role

Bidfood ME is one of the leading foodservice companies in Bahrain and the Middle East, looking for motivated and enthusiastic Bahraini talent eager to kick-start or grow their career.

The Data Analyst is responsible for analyzing sales trends, customer performance, and channel effectiveness to provide actionable insights to the sales and commercial teams. This position is ideal for someone with a strong analytical mindset, hands-on experience in F&B or FMCG distribution, and a passion for turning data into strategic business decisions.

Key Responsibilities

• Analyze daily, weekly, and monthly sales data across products, categories and customers (with focus on HORECA segment).
• Identify trends, gaps, and opportunities to drive revenue growth and improve channel performance.
• Develop and maintain dashboards and reports (Power BI, Excel, or other tools) for sales performance tracking.
• Collaborate with the sales team to develop territory and account plans based on data insights.
• Monitor key performance indicators (KPIs) such as volume growth, margin, SKU penetration, and distribution efficiency.
• Support pricing strategy, promotional effectiveness analysis, and forecasting for the HORECA channel.
• Provide ad-hoc analysis to support strategic initiatives, product launches, or category reviews.
• Work closely with supply chain, marketing, and finance teams to align business plans with sales performance.
• Segment and profile HORECA customers to enable targeted marketing and customized sales approaches.
• Ensure data accuracy and integrity by coordinating with internal data and IT teams.
• Develop Competitor Analysis, Price analysis.
  
  

• Bachelors degree in business, Statistics, Data Science, or related field.
• 1-4 years of experience in sales analytics, preferably in F&B, FMCG, or distribution industries.
• Strong proficiency in Excel, Power BI, Tableau, or other data visualization tools.
• Solid understanding of SQL or similar tools for data extraction and transformation.
• Excellent communication and presentation skills, with the ability to translate data into actionable insights.
• Highly organized with attention to detail and a proactive approach to problem-solving.
• Commercial acumen and the ability to work in a fast-paced, sales-driven environment.

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology
• Industries Food and Beverage Services

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Join to apply for the Data Analyst role at Dicetek LLC

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1 year ago Be among the first 25 applicants

Join to apply for the Data Analyst role at Dicetek LLC

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 of 3 years’ experience in a similar role in a bank or financial institution with a total of minimum 10 years’ experience working in banking industry experience. 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 difference data structures structured, semi structured and unstructured data.
  
  

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

• Seniority level Not Applicable

• Employment type Contract

• Job function Information Technology
• Industries IT Services and IT Consulting

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Manama, Capital Governorate, Bahrain
BHD1,500.000
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• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and optimize data warehousing solutions on cloud platforms.
• Implement data quality checks and data governance frameworks.
• Collaborate with data scientists and analysts to support their data needs.
• Write efficient, production-ready code in Python, Scala, or Java.
• Manage and monitor data infrastructure, ensuring reliability and performance.
• Work with various data sources, including relational databases, NoSQL databases, and streaming data.
• Troubleshoot and resolve data-related issues promptly.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
• 6+ years of experience in data engineering or software development with a focus on data.
• Expertise in distributed data processing frameworks (e.g., Spark, Hadoop, Flink).
• Proficiency in SQL and experience with various database technologies (e.g., PostgreSQL, Cassandra, MongoDB).
• Strong programming skills in Python, Scala, or Java.
• Experience with cloud data services (e.g., AWS Redshift, S3, EMR; Azure Data Lake, Databricks; Google BigQuery, GCS).
• Knowledge of data modeling, data warehousing, and data architecture principles.
• Familiarity with CI/CD pipelines and infrastructure as code.
• Excellent problem-solving and analytical abilities.

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SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

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Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

This is an exciting opportunity for a software engineer passionate about open source software, Linux, and Web Services at scale. Come build a rewarding, meaningful career working with the best and brightest people in technology at Canonical, a growing pre-IPO international software company.

Canonical's engineering team is at the forefront of the IoT revolution and aims to strengthen this position by developing cutting-edge telemetry and connectivity solutions. By integrating reliable, secure, and robust data streaming capabilities into the Snappy ecosystem, we are setting new standards in the industry for ease of development, implementation, management and security.

We are seeking talented individuals to help us enhance our global SaaS services, providing customers with the essential data services needed to build the next generation of IoT devices effortlessly. Our commitment to data governance, ownership, and confidentiality is unparalleled, ensuring our customers can innovate with confidence on top of the globally trusted Ubuntu platform.

Location: This role will be based remotely in the EMEA region.

What your day will look like

• Work remotely with a globally distributed team, driving technical excellence and fostering innovation across diverse engineering environments.
• Design and architect high-performance service APIs to power streaming data services, ensuring seamless integration across teams and products using Python and Golang.
• Develop robust governance, auditing, and management systems within our advanced telemetry platform, ensuring security, compliance, and operational integrity.
• Partner with our infrastructure team to build scalable cloud-based SaaS solutions while also delivering containerized on-prem deployments for enterprise customers.
• Lead the design, implementation, and optimization of new features—taking projects from spec to production, ensuring operational excellence at scale.
• Provide technical oversight, review code and designs, and set best practices to maintain engineering excellence.
• Engage in high-level technical discussions, collaborating on optimal solutions with engineers, product teams, and stakeholders.
• Work remotely with occasional global travel (2-4 weeks per year) for internal and external events, fostering deeper collaboration and knowledge-sharing.
  
  

• You design and architect scalable backend services, messaging/data pipelines, and REST APIs using Golang or Python, guiding best practices, technical direction, and system scalability.
• You possess deep expertise in cybersecurity principles and proactively address the complex challenges of IoT environments—secure connectivity, data streaming, governance, and compliance.
• You bring proven expertise in designing and optimizing systems using:
• IAM models, encryption, access control, and compliance frameworks (GDPR, HIPAA) to ensure secure and compliant data handling.
• Ability to design decentralized data ownership models, ensuring interoperability and governance across domains.
• Designing high-throughput, low-latency systems for IoT data processing.
• Data streaming technologies (MQTT, Kafka, RabbitMQ)
• Observability tools (OpenTelemetry)
• Industrial/engineering data exchange protocols (OPC-UA, ModBus)
• You thrive in cross-functional environments, partnering with product teams, engineers, and stakeholders to drive high-impact technical solutions that align with business objectives.
• You mentor junior engineers, foster technical excellence, and contribute to a culture of innovation, continuous improvement, and knowledge sharing.
• You embrace challenges with an open mind, continuously seeking opportunities to learn, improve, and innovate in a rapidly evolving IoT landscape.
• You are familiar with Ubuntu as a development and deployment platform.
• You hold a Bachelor's degree or equivalent in Computer Science, STEM, or a related field.
• Willingness to travel up to 4 times a year for internal events.
  

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events
  
  

Bring your data analytics and data mining skills to a unique team seeking to understand and shape the future of marketing technology. We are interested in technology adoption patterns, the respect of visitors' data and the use of open source in marketing. We are also interested in those marketing data analysts who are curious enough to embrace new technologies and are ready to work with unfamiliar tools, if needed.

The role of a Junior Data Engineer at Canonical

Canonical has provided developers with open source since 2004, helping them build innovations such as public cloud, machine learning, robotics or blockchain. Marketing at Canonical means being at the forefront of innovation, for our customers and for our own martech stack. We're on the lookout for a marketing data analyst to join our team and execute on our growth hacking strategy.

The ideal candidate will be passionate about technology, technology marketing and the use of technology in marketing. You will prefer to work in an environment that has emphasis on ownership of campaigns, collaboration, learning, curiosity and a drive to continually improve oneself / the team / the organisation. You will also love to problem solve, get hands-on, experiment, measure and use automation to make daily life easier.

The Marketing team at Canonical drives commercial outcomes for the company across its portfolio of products and grows the addressable market through digital marketing campaigns, lifecycle management, events, partnerships and community development. If these things are important to you and you're motivated by driving data engineering, delighting customers and filling the sales funnel, we want to talk with you.

This role sits in the Marketing team reporting to the Growth Engineering Manager.

What your day will look like

1. Utilise advanced data analytics to grow Canonical's product adoption and market penetration
2. Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
3. Design and conduct experiments with data, visualisation and insights into Canonical's target audiences
4. Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem
5. Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards

What we are looking for in you?

1. Background in data science, mathematics, actuarial science, or engineering
2. Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
3. Strength in data analytics and visualisation (Looker Studio, Tableau, Apache Superset, etc)
4. Ability to translate business questions to key research objectives
5. Ability to identify the best methodology to execute research, synthesise and analyse findings
6. Excellent writing and communication skills
7. Willingness to examine the status quo and resilient in the face of challenges

What we offer you

Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.

In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.

Fully remote working environment - we've been working remotely since 2004!

Personal learning and development budget of 2,000 USD per annum

Annual compensation review

Recognition rewards

Annual holiday leave

Parental Leave

Employee Assistance Programme

Opportunity to travel to new locations to meet colleagues at 'sprints'

️Priority Pass for travel and travel upgrades for long haul company events

Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.

Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.

Canonical is an equal opportunity employer

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.