7 Data Management jobs in Bahrain
Graduate Trainee - Data Analysis
Posted today
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Job Description
Key Responsibilities:
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and preprocessing tasks.
- Conduct exploratory data analysis to identify trends and patterns.
- Support the creation of reports, dashboards, and data visualizations.
- Help in interpreting data and generating insights for business stakeholders.
- Learn and apply various data analysis techniques and tools.
- Contribute to data quality assurance efforts.
- Participate in team meetings and present findings.
- Collaborate with senior analysts on ongoing projects.
- Develop foundational skills in statistical analysis and data modeling.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and quantitative skills.
- Proficiency in Microsoft Excel; knowledge of SQL is a plus.
- Familiarity with programming languages like Python or R is advantageous.
- Excellent problem-solving abilities and attention to detail.
- Good communication and interpersonal skills.
- Eagerness to learn and develop new skills in data analysis.
- Ability to work effectively in a team.
Graduate Trainee - Data Analysis
Posted today
Job Viewed
Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform data analysis using statistical methods and tools.
- Develop reports and dashboards to visualize data insights.
- Identify trends, patterns, and anomalies within datasets.
- Support senior analysts in building predictive models.
- Collaborate with cross-functional teams to understand data needs.
- Ensure data accuracy and integrity throughout the analysis process.
- Learn and apply various data analysis software and techniques.
- Assist in documenting data processes and methodologies.
- Present findings and recommendations to stakeholders.
- Recent graduate with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in data analysis tools (e.g., Excel, SQL, Python/R basics).
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work collaboratively in a team environment.
- A strong desire to learn and develop expertise in data analysis.
Remote Graduate Trainee - Data Analysis
Posted 1 day ago
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Job Description
Senior Geologist - Remote Sensing & Data Analysis
Posted today
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Job Description
Key responsibilities include creating detailed geological maps, modeling subsurface structures, and assessing mineral prospectivity. You will work closely with exploration teams, providing remote guidance and critical data-driven recommendations to inform drilling programs and strategic decision-making. The ideal candidate will possess a strong background in structural geology, mineralogy, and geochemistry, complemented by expertise in remote sensing principles and data processing workflows. Experience with GIS software (e.g., ArcGIS, QGIS) and remote sensing software (e.g., ENVI, ERDAS Imagine) is essential. Proficiency in programming languages such as Python or R for data analysis and automation is highly desirable.
We are looking for a candidate with a Master's degree or Ph.D. in Geology, Geophysics, or a related field, with at least 7 years of relevant experience in geological exploration, with a significant focus on remote sensing and data analysis. A proven ability to manage complex datasets, troubleshoot technical challenges, and communicate findings effectively to both technical and non-technical audiences is required. This role demands a high degree of autonomy, excellent problem-solving skills, and a passion for uncovering the Earth's resources through innovative technological approaches. If you are a forward-thinking geologist ready to contribute your expertise to significant mining projects from a remote setting, we encourage you to apply. The **location** for this role is considered **Shakhura, Northern, BH**, however, the duties are performed remotely.
Data Quality specialist
Posted 5 days ago
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Job Description
Location: Bahrain
Domain: Banking and Finance (Mandatory)
Relevant Experience: 5+ years
Responsibilities:- Comprehensive understanding of data governance processes, Master Data Management, Reference Data Management, Data Profiling, Data Quality (DQ) rules, and Data Warehousing (3+ years).
- Identifying, assessing, monitoring, controlling, and mitigating Data Quality issues and risks (3+ years).
- Defining and implementing Data Quality Management Framework, processes, policies, and standards within the organization (3+ years).
- Performing quantitative data analysis to derive insights from data quality reports & dashboards, exploring raw data sets using SQL and SAS (3+ years).
- Deep understanding of Banking (preferably Islamic Banking) and Financial products, related data, and regulatory reporting requirements (3+ years).
- Robust project management skills to lead technology process improvement projects, utilizing virtual teams to enhance data quality (5+ years).
- Excellent organizational and communication skills to promote data quality adoption across the organization, simplifying complex information for IT and Business users.
- Overseeing the complete data lifecycle—from creation and capture to processing, storage, and usage.
- Developing SQL Server T-SQL procedures/functions for batch processing and reporting as per user requirements.
This job posting appears to be active and relevant.
#J-18808-LjbffrData Quality Specialist - SAS- Banking
Posted 8 days ago
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Job Description
VAM Systems is currently looking for Data Quality Specialist for our Bahrain operations with the following skillsets and terms & conditions:
Qualification
BA Computer Science
Years of Experience 1 - 3 years
Tools Required : Excellent in Excel, SQL, SAS, Data Analysis, ETL tools, Data profiling
Experience Required:
A comprehensive grasp of Data Management fundamentals, data governance processes, Master Data Management, Reference Data Management, Data Profiling and Data Quality (DQ) rules.
Experience in identifying, assessing, monitoring, controlling, and mitigating Data Quality issues and risks.
Experience in developing and rolling out data quality processes.
Understand Data Quality (DQ) Management Framework policies and standards.
Excellent quantitative data analysis, including the ability to draw insights from existing quantitative data quality reports & dashboards, as well as explore & summarize raw data sets to discover insights using SQL and Tools.
Robust project management skills to define & drive technology process improvement projects leveraging virtual teams to deliver permanent data quality improvements to data capture systems.
Compelling presentation skills (both PowerPoint and in-person) to synthesize complex information and explain it in simple, compelling ways to senior stakeholders to secure buy-in.
Familiarity with data visualization tools, such as Tableau or Power BI.
Skillsets required
Data Modeling
Data Analysis
Data Quality Assurance
Data Standards and Procedures
Data Warehouses
Data Marts
Data Governance
SQL, Data Analaysis,ETL tools, Data profiling
The selected candidates shall join VAM Systems - Bahrain and shall be deputed to one of the leading Bank in Bahrain.
Should you be interested in this opportunity, please send your latest resume in MS Word format at the earliest
Company Industry
- IT - Software Services
Department / Functional Area
- Quality
- Testing
- QA
- QC
- Inspector
Keywords
- Data Quality Specialist - SAS- Banking
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People Looking for Data Quality Specialist - SAS- Banking Jobs also searched #J-18808-LjbffrLead Data Governance Engineer
Posted 10 days ago
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Job Description
Canonical is a leading provider of open-source software and operating systems for 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 more than 80 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.
We are hiring a Lead Data Governance Engineer with focus on data governance policies, processes, standards, and monitoring in compliance with internal policies and applicable regulatory frameworks, e.g., GDPR, DPA, ISO, etc. A successful candidate will develop Python-based tooling to automate the operations of an internal data mesh solution such as data labeling and quality metrics in a data, access management and data security best practices.
The Data Governance team in the Commercial Systems unit has a mission to enable a secure and well-governed access to comprehensive data sets originating at many internal and external data sources formed in a data mesh. The team works with well-known open-source data governance tools such as Trino and Ranger, defines and executes data governance processes, and democratizes the data at Canonical.
Location : This role will be based remotely in the EMEA region.
The role entails
- Define, monitor, and execute data governance policies
- Design, implement, and maintain tooling for automated data mesh operations
- Deploy and operate services developed by the team
- Depending on your seniority, coach, mentor, and offer career development feedback
- Develop and evangelize great engineering and organizational practices
- Exceptional academic track record from both high school and university
- Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
- Track record of going above-and-beyond expectations to achieve outstanding results
- Experience with data quality, governance, and security processes and tools
- Experience with software development in Python and SQL
- Professional written and spoken English with excellent presentation skills
- Result-oriented, with a personal drive to meet commitments
- Ability to travel internationally twice a year, for company events up to two weeks long
- Performance engineering and security experience
- Experience with Airbyte, Ranger, Superset, Temporal, or Trino
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
- 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
- Employee Assistance Program
- Opportunity to travel to new locations to meet colleagues
- Priority Pass, and travel upgrades for long haul company events
Canonical is a pioneering tech firm 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 of software. 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. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
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.
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