41 Medical Data jobs in Kenya
Data Management Strategy and Governance Manager
Posted 13 days ago
Job Viewed
Job Description
Location: Madrid, Nairobi, or Bengaluru
Job Type: Full-Time
About the Role: We are seeking a highly skilled and experienced hands-on lead to join our team. The ideal candidate will be responsible for leading the definition, development and implementation of data governance initiatives and implementing a global DQ (Data Quality) framework that enhances trust in data across the enterprise . This role requires a deep understanding of data governance and data quality concepts, strong delivery focus, and the ability to manage and mentor a team. This role will report to the Data Strategy & Governance Lead, within our Data & Analytics function.
Key Responsibilities:
Lead the design, development, and implementation of updated data governance frameworks, policies, and procedures.
Design and implement a global data quality strategy aligned with enterprise data governance and regulatory requirements.
Develop and operationalize a data quality framework, including standards, metrics, and controls, with automation at its core. Develop a data quality improvement roadmap, that sets data quality targets and lead delivery in meeting the agreed targets.
Manage a team, providing guidance, mentorship, and support to ensure high performance and professional growth.
Collaborate with cross-functional teams, data owners, stewards, engineering, and analytics teams to embed DQ practices into data pipelines and business processes. Oversee the delivery of data governance products and solutions to production, ensuring they meet quality, performance, regulatory, and security standards.
Support regulatory compliance efforts by ensuring data quality processes meet regional and global standards.
Establish monitoring and reporting mechanisms to track data governance initiatives, identifying areas data quality KPIs and drive continuous improvement. Focus on metadata management, data quality, and the use of AI-based tools to enhance data governance practices.
Implement strategies to make data more available and accessible across the organization while ensuring robust audit and control mechanisms are in place.
Stay up-to-date with industry trends and advancements in data governance and related technologies, incorporating relevant innovations into the organization's practices.
Maintain a strong delivery focus, ensuring that projects are completed on time and within scope, with clear milestones and timelines.
Build and maintain strong business partner relationships to align data governance initiatives with business needs and priorities.
Develop and deliver training programs to enhance data literacy and embed governance practices across the organization.
Act as a trusted advisor to senior stakeholders on data quality risks and opportunities.
Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field; advanced degree preferred.
Proven experience in data governance, data quality and management, or a related field, with a strong understanding of data governance and quality concepts and best practices.
Hands-on experience with Collibra and AWS data services (e.g., S3, Glue, Redshift). with experience in delivering data governance products to production.
Experience integrating data quality processes into BI/reporting tools such as QlikSense.
Familiarity with data quality automation and scalable data validation techniques.
Demonstrated experience in managing and leading engineering teams, with a focus on fostering collaboration and innovation.
Excellent problem-solving skills and the ability to think strategically about data governance challenges and solutions.
Strong communication and interpersonal skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders.
Experience with data governance tools and technologies, such as data catalogs, metadata management, and data quality solutions (e.g. Collibra).
Knowledge of regulatory requirements and industry standards related to data governance and data protection (e.g., GDPR, NBB, CCPA).
Preferred Skills:
Certification in data governance or data management (e.g., CDMP, DAMA).
Experience working in regulated industries (e.g., financial services, healthcare).
Knowledge of data mesh or federated data governance models.
Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud).
Familiarity with data privacy and security best practices.
Experience with AI-based tools and technologies to enhance data governance and data quality.
Why Join Us:
Opportunity to lead and shape the data governance and quality strategy of a dynamic and innovative organization.
Collaborative and inclusive work environment that values diversity and professional growth.
Delivery-focused and mission-oriented role with a strong emphasis on engineering and collaboration.
Located within the Data & Analytics Organization, with a focus on revising data governance and data risk frameworks.
Clear focus on delivering projects on time and within scope, with established timelines and milestones to track progress and ensure successful delivery.
Build and maintain strong business partner relationships to ensure alignment with business needs.
Develop and deliver training programs to enhance data literacy and governance practices across the organization.
**About The Cigna Group**
Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.
Geophysicist - Seismic Data Analysis
Posted today
Job Viewed
Job Description
Key Responsibilities:
- Acquire, process, and interpret 2D and 3D seismic data for exploration and development projects.
- Utilize advanced geophysical software (e.g., Petrel, OpendTect) for data analysis and interpretation.
- Develop seismic interpretation workflows and quality control procedures.
- Integrate seismic data with other geological and engineering data (well logs, core data, production data).
- Identify and delineate potential hydrocarbon reservoirs and prospects.
- Perform seismic attribute analysis, velocity modeling, and seismic inversion.
- Collaborate with geologists and reservoir engineers to build integrated subsurface models.
- Prepare technical reports and presentations for management and joint venture partners.
- Provide geophysical support for drilling operations and well planning.
- Stay abreast of new geophysical technologies and methodologies.
Qualifications:
- Master's or Ph.D. degree in Geophysics, Geology, or a related Earth Science discipline.
- Minimum of 5 years of experience in geophysical exploration, with a focus on seismic data interpretation.
- Proficiency in seismic data processing and interpretation software.
- Strong understanding of seismic acquisition techniques and data quality assessment.
- Experience with basin analysis and structural geology.
- Excellent analytical and problem-solving skills.
- Ability to work effectively in a multidisciplinary team environment.
- Strong written and verbal communication skills.
- Familiarity with Kenyan geological settings and basins is an advantage.
- Willingness to work on-site in Nakuru.
Join a company at the forefront of energy innovation and contribute to vital exploration efforts.
Graduate Trainee - Data Analysis
Posted 1 day ago
Job Viewed
Job Description
Responsibilities:
- Assist in the collection, cleaning, and organization of large datasets.
- Perform exploratory data analysis to identify trends and patterns.
- Support the development and implementation of data models and algorithms.
- Create data visualizations and reports to communicate findings.
- Collaborate with senior analysts on data-related projects.
- Learn and apply various data analysis techniques and tools.
- Contribute to maintaining data integrity and accuracy.
- Participate in team meetings and provide insights during discussions.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and quantitative skills.
- Proficiency in at least one programming language (e.g., Python, R).
- Familiarity with SQL and database concepts.
- Basic understanding of data visualization tools (e.g., Tableau, Power BI).
- Excellent problem-solving abilities and attention to detail.
- Strong communication and teamwork skills.
- Eagerness to learn and adapt in a remote work environment.
Remote Geologist - Data Analysis
Posted 2 days ago
Job Viewed
Job Description
Graduate Trainee - Data Analysis
Posted 2 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in the collection, cleaning, and organization of data from various sources.
- Perform basic statistical analyses to identify trends, patterns, and anomalies.
- Help in the creation of data visualizations and reports to communicate findings.
- Support senior analysts in data-driven decision-making processes.
- Learn and apply data analysis tools and methodologies.
- Contribute to projects focused on improving data quality and accessibility.
- Participate in team meetings and brainstorming sessions.
- Develop foundational skills in data interpretation and business intelligence.
- Assist with ad-hoc data requests and analysis.
- Gain exposure to different business functions through data projects.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving abilities.
- Attention to detail and accuracy in data handling.
- Proficiency in Microsoft Excel.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) or statistical software (R, Python) is a plus.
- Eagerness to learn and develop new skills in data analysis.
- Ability to work effectively in a team environment.
Graduate Trainee - Data Analysis
Posted 3 days ago
Job Viewed
Job Description
Responsibilities:
- Assist senior data analysts in collecting, cleaning, and organizing datasets from various sources.
- Perform data analysis using statistical methods and tools to identify trends and patterns.
- Help create and maintain reports and interactive dashboards for business stakeholders.
- Support the development of data models and visualizations.
- Conduct quality assurance checks on data to ensure accuracy and integrity.
- Learn and apply various data analysis techniques and software.
- Collaborate with team members in a virtual environment to contribute to project goals.
- Assist in documenting data processes and findings.
- Participate in training sessions and team meetings to enhance skills and knowledge.
- Contribute to ad-hoc data analysis requests as needed.
Qualifications:
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and analytical techniques.
- Familiarity with data analysis tools and programming languages such as Python (Pandas, NumPy) or R is a plus.
- Knowledge of SQL for data retrieval and manipulation is advantageous.
- Excellent analytical and problem-solving skills.
- Meticulous attention to detail and commitment to data accuracy.
- Good communication and collaboration skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Genuine interest in data analysis and its application in business.
Graduate Trainee - Data Analysis
Posted 4 days ago
Job Viewed
Job Description
Be The First To Know
About the latest Medical data Jobs in Kenya !
Remote Geologist - Data Analysis
Posted 4 days ago
Job Viewed
Job Description
Graduate Trainee - Data Analysis
Posted 5 days ago
Job Viewed
Job Description
Graduate Trainee - Data Analysis
Posted 5 days ago
Job Viewed
Job Description
Key Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform basic data analysis to identify trends, patterns, and anomalies.
- Create visualizations and reports to present findings to the team.
- Support senior data analysts with ad-hoc data requests.
- Learn and apply statistical methods and data modeling techniques.
- Contribute to maintaining data integrity and accuracy.
- Participate in team meetings and provide input on data-related projects.
Qualifications:
- Recent graduate with a degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Familiarity with database concepts and SQL is a plus.
- Knowledge of Python or R is advantageous.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.