Summary
Date Posted: Tuesday, November 21 2023, Base Salary: Not Disclosed

JOB DETAILS:
Overview of the position:
• The Data & Systems Manager will own our data and discover the information hidden within. Helping us make smarter business decisions that contribute to our continued growth and the delivery of even better products. He/she will be responsible for the design of data collection platforms, databases, and dashboards for data visualization. All this should be done inline with data governance policies across all the countries where Spark has operations and in ways that safeguards our data against cyber attacks.

Responsibilities:
Ownership of Sparks Impact Data:
• Ensure all technical systems (data collection, storage and visualization) are managed appropriately that presents the organization with a singular “version of the truth”
• Developing and maintaining database structures that allow an efficient and innovative analysis of their contents as well as ensuring data protection from security breaches and data losses
• Develop and maintain data flows between platforms and systems
• Work closely with the product team to incorporate new platforms, systems, and initiatives into our data ecosystem
• Manage, develop and retain the product team members and ensure that they have clear responsibility domains, deliverables, growth opportunities, and support to achieve their goals
• Ensure the security and integrity of IT systems and data through regular backups, updates, and security protocols in line with data protection regulations in the different countries where Spark works.

Enabling the organization to take Data-driven decisions:
• Responsibility for the setup and maintenance of core organizational dashboards
• Leading ad-hoc analysis and presenting results in a clear manner
• Contribute to a culture of data-driven decision making by ensuring that the data collected meets program needs and are analyzed and disseminated in a format that inspires conversation
• Leading on the data quality assurance of our monitoring data by ensuring robust data collection tool development and managing the continuous data quality improvement plans in liaison with the MEL team.

Leading product related trainings
Working with the product officer engagement;
• Evaluate user needs and system functionality, ensuring that our data systems meet these needs
• Ensure that Spark system users have constant refreshers on our systems and sets up a mechanism for feedback collection and upgrading our systems to meet user needs
• Create manuals that aid self-training on the Spark system by users

Who we are looking for:
• Master’s degree in Computer science, Software engineering, Data science, Machine learning or a related discipline.
• Bachelor’s degree in Computer science, Software engineering, Data science, Machine learning or a related discipline.
• Minimum of 6 years’ experience in database management systems (DBMS), such as SQL Server, Oracle, MySQL, or PostgreSQL. Ability to design, implement, and maintain databases.
• Expert knowledge of data integration techniques and tools, including ETL (Extract, Transform, Load) processes to integrate data from various sources.
• Strong data analysis skills using Python to extract meaningful insights from data.
• Proficiency in scripting languages (e.g., Python, PowerShell) for automation and data manipulation tasks.
• Understanding of data security and privacy regulations (e.g., GDPR, HIPAA) and the ability to implement data security best practices.
• Knowledge of server management and maintenance, including experience with Windows, Linux, or cloud-based server environments.
• Expert knowledge and experience in data visualization tools (e.g., Tableau, Power BI, Zoho analytics,) to create meaningful reports and dashboards.
• Experience in GIS or a willingness to learn
• A self-professed data geek who seeks to understand the story that our data is telling us
• A self-starter and problem-solver – sees an opportunity for improvement of systems and processes and acts on it including exploring the role of big data, machine learning and AI in our business strategy.
• You should be comfortable and experienced working within distributed teams
• Willingness to travel to remote locations to develop an in-depth understanding of our work and our users.

Why work with us?
• Spark is a community. You will find thought partners, colleagues who challenge and push you to think further.
• You will have the freedom and autonomy to make your role your own. We want to hear your crazy ideas, your vision for the future and your critical questions and see you be a key leader in our organization
• You’ll never be bored - but we also respect and value work life balance and your need for down time, vacation and reflection.

Work Hours: 8

Experience in Months: 72

Level of Education: Bachelor Degree

Job application procedure
Other Information:
• Location will be Kampala, Uganda or Kigali, Rwanda with ~10% travel within the region.
• We will agree on a six month probation period with learning and performance objectives. You are committed to this role for at least 3 years.
• Closing date for applications: On a rolling basis, we reserve the right to close this recruitment process at any time.
• Preferred start date: As soon as possible
• How to apply: https://sparkmicrogrants.bamboohr.com/careers/80 

Safeguarding
• Our safeguarding follows a do no harm principle. All Spark staff are expected to respect and uphold the safeguarding procedures and principles to minimize harm to stakeholders, program participants, and the environment, in compliance with the World Bank Environmental and Social Framework and Ghana Legislation.

Equal Opportunity
• Spark Microgrants provides equal employment and advancement opportunities to all individuals. Employment decisions at Spark are based on merit, qualifications, and abilities. Spark does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, sexual orientation, national origin, gender identity, age, disability, marital status, or any other characteristic protected by the law. Spark will make reasonable accommodations for qualified individuals with known disabilities unless doing so would result in undue hardship to daily operations.

All Jobs

QUICK ALERT SUBSCRIPTION