Website Quest Alliance

At Quest Alliance we transform learning ecosystems through education technology, capacity building, and collaboration to build 21st-century skills for learners and facilitators.

We are a not-for-proﬁt trust that focuses on research-led innovation and advocacy in the ﬁeld of teaching and learning. We engage with educators, civil society, government institutions and corporate organisations to demonstrate and enable scalable and replicable solutions in school education and vocational training.

At Quest Alliance, you will get the opportunity to apply your skills and contribute to addressing issues around quality education and skills training. The organisation gives you the space to learn and grow in a fun and engaging environment. We have an eclectic group of people working at Quest drawn from diverse disciplines including Education, Technology, Design, Youth Development, and Business.

About the Role:

We are currently seeking a data coordinator who can help strengthen the culture of data driven decision making within the organisation by creating user friendly and easy to comprehend dashboards and visualisation of different types of data. The job role might also require you to learn new tools and technologies fast, and you should have in-depth knowledge of visualisation platforms such as Tableau, Power BI, database management as well as basic programming and scripting skills. You will help to build efficient and stable data pipelines using ETL processes which can be easily maintained in the future. You should have expertise in the design, creation, management, and business use of large datasets.

You will build ETL pipelines to ingest the data from heterogeneous sources into our system. You should have excellent business and communication skills, and be able to work with program owners to understand their data requirements and help them make data-related decisions using your ETL knowledge and experience.

Responsibilities

Gather requirements and business process knowledge in order to transform the data in a way that’s geared towards the needs of end users
Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities
Build data visualisation as per analytics requirements on Superset
Maintain and improve already existing processes
Ensure that the data architecture is scalable and maintainable
Work with the program, data and technology teams in designing and delivering correct, high quality data
Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions
Prepare documentation for further reference

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science or related disciplines
Experience and knowledge of visualisation/ dashboarding using tools like Apache Superset or Tableau/ Power BI. Prior experience of working with Superset would be an advantage
SQL knowledge (query performance tuning, index maintenance, etc.) as well as an understanding of database structure
Prior experience of working with data collection tools including Google and KoBo and building ETL pipeline via Talend
Advanced knowledge of Python or R
Knowledge of data modelling principles
Organisational skills: time management and planning
Expert level Knowledge and experience of working with Talend
Knowledge of various SQL/NoSQL data storage mechanisms and Big Data technologies
High attention to detail
Passionate about complex data structures and problem solving
Ability to pick up new data tools and concepts quickly
Good written and verbal communication skills