Coordinator, Data Analytics
4 weeks ago
Purpose of the position
- The Coordinator, Data Analytics will work under the supervision of the Senior Coordinator, Data Analytics and assist in the day-to-day planning, coordination, and integration of operations and activities within the GIS operations of the eHA’s Product and Service department. S/he will work closely with the manager in the design and implementation of information systems for the provision of access to GIS data.
What you’ll do
- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Other duties may be assigned:
- Develops systems and tools for effective data management, visualization, and interpretation systems design, dashboards, information graphics, mapping, Tableau.
- Uses automated tools to extract data from primary and secondary sources
- Removes corrupted data and fixes coding errors and related problems
- Develops and maintains databases, and data systems – reorganizing data in a readable format.
- Performs analysis to assess the quality and meaning of data.
- Filters data by reviewing reports and performance indicators to identify and correct code problems.
- Provides technical assistance and builds understanding among partners about the effective use of data.
- Uses statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for diagnosis and prediction
- Assigns a numerical value to essential business functions so that business performance can be assessed and compared over periods.
- Analyzes local, national, and global trends that impact both the organization and the industry. Introduces different tools in the analysis process.
- Prepares reports for the management, stating trends, patterns, and predictions using relevant data.
- Assists with the development, implementation, coordination, and maintains internal technical standards.
- Contributes towards the identification and implementation of effective and adapted technical solutions and partnerships.
- Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
- Provides capacity-building related to database maintenance and advanced data analysis techniques for spatial information.
- Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to make important decisions based on various facts and trends.
- Supports the collection of spatial datasets and integration with eHA activities.
- Supports the implementation of continuous improvement processes.
- Attends and participates in professional group meetings, seminars, and training to stay abreast of new trends and innovations in the field of geographic information systems technology.
- Performs any other duties assigned by Management.
- May frequently travel between company worksites.
- Presents a professional demeanor at all times. Approaches others in a tactful manner. Reacts well under pressure. Treats others with respect and consideration, regardless of their status or position. Accepts responsibility for own actions. Follows through on commitments.
- Is consistently at work and on time.
- Participates in and promotes a positive, supportive, cooperative team environment.
- Attends and participates in staff meetings, training classes, and supervision.
- Adheres to Policies and Procedures.
- Adheres to eHealth Africa Code of Conduct as well as the ethical standards of the field.
Who you are
- The requirements listed below are representative of the knowledge, skill and/or ability required to successfully perform this job.
- A Bachelor’s degree in Statistic, Geoinformatics, Geography, Computer Technology, Social Science or a related field. A relevant professional certification is desired.
- A minimum of four 4 years of Data Analysis experience preferably in the Nonprofit sector or an equivalent combination of education and experience.
- Advance knowledge with GIS and Spatial Data Analytics Machine learning skills
- Knowledge of workflow automation tools
- Proficiency in SQL for data extraction and manipulation.
- Advanced skills in statistical analysis and modeling using tools such as R or Python.
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn.
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and presentation skills with the ability to translate complex findings into actionable insights.
- Excellent attention to detail and timelines
- Must possess excellent interpersonal communication skills, and organizational skills. Ability to work independently and in a team. Must possess good problem-solving skills
- Experience with technology systems, and informatics strategic planning.
- Demonstrated executive/managerial skills, including experience managing complex
- Excellent organizational, analytical, and problem-solving skills.
- Knowledge of technology project management
- Strong leadership skills that include the ability to build effective teams, ability to advanced computer skills, including Google Drive, Microsoft Windows, and Microsoft Office Suite.
- Proficiency in working with specialized software utilized in the program.
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