Head of Data Analytics (m/f/d) Berlin, Germany
EIDU GmbH
We believe that all children should be given the chance to reach their full potential. However, more than 600 million children in the world do not achieve foundational skills like literacy and basic numeracy – despite the majority of them going to school.
At EIDU, we are creating the next-generation EdTech platform for children who lack access to high quality education that all children deserve. We currently serve over 500,000 students in Kenya, Nigeria, and Pakistan and are aiming to serve tens of millions within the next few years. External researchers conducted a year-long randomised control trial, midline results indicate that having EIDU in schools adds the equivalent of at least 0.8 years of learning development. We also have fascinating projects with leading technology companies to further enhance learning outcomes through AI.
EIDU is funded by well-known development agencies, foundations, and impact investors and we are about to scale our programs rapidly through partnerships with governments.
With a mission like EIDU’s, diversity of thought and background within our team is crucial. We value those who can bring a diverse perspective to our platform and help us provide high-quality education to as many children as we can across the globe.
If you’d like to learn more about us, visit our website at eidu.com or watch our two-minute video.We are looking for a Head of Data Analytics to form an integral part of the Research, Learning and AI team. You will be responsible for developing and executing EIDU’s data strategy ensuring that it aligns with business objectives. You will take ownership of end-to-end delivery for critical data analytics initiatives. You will oversee the creation of actionable insights for all functions of the business and the definition of metrics that track the business’s performance at different fronts. This includes validating, interpreting, and creating dashboards, reports and presentations for senior leadership, and relevant stakeholders.
Leadership:
Oversee all activities of the data analytics department. Drive performance to impact overall business results while ensuring the department remains within the planned budget.
Mentor and coach a team of data analysts and data engineers, fostering a collaborative and innovative team culture, guiding team members to excel and ensuring their growth and development.
Champion for the use of data in making key business decisions. Drive the day-to-day analytical approaches and explore solutions to specific problems.
Define the business questions that need to be answered and define appropriate analytics models in addition to identifying and readying relevant data sources for analysis.
Develop training programs meant for improving leadership’s understanding of the use of data, to improve decision-making across the business. Lead data visualization and storytelling efforts to support decision-making.
Strategy:
Work closely with the Director of Research, Learning and AI in establishing departmental goals and strategies aligned with organizational goals. Lead the management and long-term prioritization of the business’s overall analytical needs and opportunities.
Lead the department in strategy development with regard to the collection, manipulation, and analysis of data for various business functions/departments such as operations, government relations, fundraising, among others.
Create new data-driven approaches for the purpose of generating actionable business insights through data analytics, information visualization, and addressing unanswered business issues in a proactive manner.
Hands-On Data Project Delivery:
Take ownership of end-to-end delivery for critical data analytics initiatives.
Build and optimize robust data pipelines, and workflows for managing and analyzing large datasets. Drive the adoption of Big Data technologies and methodologies to meet growing data needs.
Improve the quality of analytics solutions on a consistent basis. Lead the analytics departments in the creation of actionable insights for all functions of the business and in the definition of metrics that track the business’s performance at different fronts.
Conduct advanced data analysis to uncover trends, patterns, and opportunities.
Ensure data integrity, security, and compliance with relevant regulations.
Collaboration:
Partner with cross-functional teams (product, engineering, operations, BI, research) aiding them in the proper use of data, and creating data solutions to ensure the delivery of desired business and educational/operational results.
Validate, interpret, and create dashboards, reports and presentations for senior leadership, and relevant stakeholders.
Serve as the primary data representative for external stakeholders (government, donors).
Innovation & Continuous Improvement:
Process Creation & Optimization: Establish and refine workflows for data integration, analysis, and visualization.
Stay updated with industry trends and emerging analytics tools.
Drive the adoption of new data-driven approaches to enhance educational impact and business growth.
The desire to use your skills to bring about positive social change.
An advanced degree in Data Science, Computer Science, Statistics, Mathematics or other related fields or 5 years of equivalent experience.
Extensive hands-on experience in data analytics with practical understanding of data engineering and data science. Preferably in a startup or fast-paced environment. Experience working with Learning analytics data would be desired but is not required
Hands-on expertise in Big Data tools and technologies (e.g., Hadoop, Teradata, Spark, or equivalent).
Strong leadership skills with a proven track record of coaching and mentoring teams.
Advanced proficiency in data analysis tools such as SQL, Python, R, or similar. Experience with data visualization tools like Power BI, Tableau and Metabase.
Strong stakeholder (internal, and external) management abilities. Ability to translate complex data into actionable insights through engaging dashboards, reports and presentations.
Proactivity and exceptional problem-solving skills, ability to work comfortably in a cross-functional setting, and an ability to remain calm under stress and uncertainty, inspiring the same in your team.
Familiarity with data governance and compliance standards.
Excellent communication skills, including the ability to communicate effectively in a multi-cultural environment, and communicate technical information with non-technical audiences.
Great interpersonal and collaboration skills to collaborate with people at all levels of the organisation, from diverse backgrounds and cultures. Interested in contributing to others' success.
A chance to directly contribute to solving a pressing global problem.
Being a part of an international and passionate team located in Kenya, Germany, Nigeria, and Pakistan.
An open environment where feedback is welcomed promoting mutual growth.
Rapid personal development & opportunity to take on responsibility and have impact.
Exciting field visits to our partner schools to see your impact firsthand.
High degree of flexibility with regard to working hours and vacations, and the option to work from home 2-3 days per week.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data analysis Data Analytics Data governance Data pipelines Data strategy Data visualization Engineering Excel Hadoop Mathematics Metabase Pipelines Power BI Python R Research Security Spark SQL Statistics Tableau Teradata
Perks/benefits: Career development Startup environment
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