Seeking a talented and results-oriented analyst to join our Health systems and Data analytics team.
You will be responsible for developing an understanding of the Health business. You will work with the business to ensure business requirements are interpreted and understood correctly. You will also extract data develop reports and create presentations as required. An essential part of your role will be to reconcile and validate data and reports to ensure the information is accurate.
It is very important that the data and systems analyst understand the information in the report they are creating and distributing.
Job requirements:
- Partner with stakeholders to understand data requirements and translate them into clear and concise analytical questions.
- Develop reports and dashboards based on needs of stakeholders.
- Access clean and transform large datasets from various sources using SQL and data manipulation tools (e.g. Python libraries Jupyter notebook).
- Perform exploratory data analysis to identify trends patterns and anomalies.
- Develop and implement statistical models and reporting dashboards to visualize data insights.
- Communicate complex data findings effectively through reports presentations and visualizations tailored to diverse audiences.
- Generate data-driven recommendations to support informed decision-making across various business functions.
- Stay up-to-date on emerging data analysis techniques and technologies continuously seeking opportunities to improve data-driven processes.
- Maintain a high level of data quality and ensure data integrity throughout the analysis process.
- Collaborate with IT and data engineering teams to access and integrate data as needed.
- Document data analysis processes and methodologies for clear communication and knowledge transfer.
Qualifications :
Qualification:
- Bachelors degree in Statistics Mathematics Computer Science Business Analytics or a related field.
- SQL certificates/qualifications
- Power Bi certificates/qualifications
- Intermediate or advanced Excel certificates/ qualifications
Knowledge/Experience:
- Minimum of 2 years of experience as a Data Analyst or similar role.
- Strong analytical and problem-solving skills with a proficiency in statistical methods and hypothesis testing.
- Attention to detail
- Experience with SQL queries and data manipulation tools (e.g. Jupyter notebooks Python libraries like Pandas NumPy).
- Experience with data visualization tools (e.g. Power BI) to create clear and compelling presentations.
- Excellent communication and interpersonal skills with the ability to effectively translate technical concepts to non-technical audiences.
- A collaborative approach to working with cross-functional teams.
- Strong attention to detail and a commitment to data accuracy and integrity.
Additional Information :
- Accountability
- Action orientated
- Collaborative
- Communication
- Business writing skills
- Manage complexity
- Problem solving skills
- Decision thinking
- Encourages engagement
- Resilient and adaptive
- Resourceful
- Demonstrates self-awareness
- Purpose driven
- Significance and values orientated
Remote Work :
No
Employment Type :
Full-time
Seeking a talented and results-oriented analyst to join our Health systems and Data analytics team. You will be responsible for developing an understanding of the Health business. You will work with the business to ensure business requirements are interpreted and understood correctly. You will also...
Seeking a talented and results-oriented analyst to join our Health systems and Data analytics team.
You will be responsible for developing an understanding of the Health business. You will work with the business to ensure business requirements are interpreted and understood correctly. You will also extract data develop reports and create presentations as required. An essential part of your role will be to reconcile and validate data and reports to ensure the information is accurate.
It is very important that the data and systems analyst understand the information in the report they are creating and distributing.
Job requirements:
- Partner with stakeholders to understand data requirements and translate them into clear and concise analytical questions.
- Develop reports and dashboards based on needs of stakeholders.
- Access clean and transform large datasets from various sources using SQL and data manipulation tools (e.g. Python libraries Jupyter notebook).
- Perform exploratory data analysis to identify trends patterns and anomalies.
- Develop and implement statistical models and reporting dashboards to visualize data insights.
- Communicate complex data findings effectively through reports presentations and visualizations tailored to diverse audiences.
- Generate data-driven recommendations to support informed decision-making across various business functions.
- Stay up-to-date on emerging data analysis techniques and technologies continuously seeking opportunities to improve data-driven processes.
- Maintain a high level of data quality and ensure data integrity throughout the analysis process.
- Collaborate with IT and data engineering teams to access and integrate data as needed.
- Document data analysis processes and methodologies for clear communication and knowledge transfer.
Qualifications :
Qualification:
- Bachelors degree in Statistics Mathematics Computer Science Business Analytics or a related field.
- SQL certificates/qualifications
- Power Bi certificates/qualifications
- Intermediate or advanced Excel certificates/ qualifications
Knowledge/Experience:
- Minimum of 2 years of experience as a Data Analyst or similar role.
- Strong analytical and problem-solving skills with a proficiency in statistical methods and hypothesis testing.
- Attention to detail
- Experience with SQL queries and data manipulation tools (e.g. Jupyter notebooks Python libraries like Pandas NumPy).
- Experience with data visualization tools (e.g. Power BI) to create clear and compelling presentations.
- Excellent communication and interpersonal skills with the ability to effectively translate technical concepts to non-technical audiences.
- A collaborative approach to working with cross-functional teams.
- Strong attention to detail and a commitment to data accuracy and integrity.
Additional Information :
- Accountability
- Action orientated
- Collaborative
- Communication
- Business writing skills
- Manage complexity
- Problem solving skills
- Decision thinking
- Encourages engagement
- Resilient and adaptive
- Resourceful
- Demonstrates self-awareness
- Purpose driven
- Significance and values orientated
Remote Work :
No
Employment Type :
Full-time
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