Director of Data Analytics

Educate!; Göteborgs kommun; On-site; SEK 1,200,000 - 1,900,000; Full time

Benefits offered by this job

Hybrid or remote work

Competitive salary based on experience

Meaningful learning and growth

Diversity and inclusion focus

Job summary

Educate! in Sweden seeks an experienced analytics leader to transform the Performance Metrics function into an AI‑native team. You will sit on a cross‑functional senior leadership team and drive the predictive analytics strategy across product, implementation, and metrics groups.

In the first year, you will define strategy, operating model, and staffing for the AI‑native function, with 90% adoption of self‑serve analytics and a healthy analytics‑engineering layer on BigQuery.

Qualifications

• 7+ years in analytics, data, or M&E roles; several years building and leading teams.
• Experience managing managers and guiding team growth.
• Built or substantially grown a data or analytics team; proven hiring and development.
• Strong analytics‑engineering depth with fluency in SQL, dbt workflows, and BigQuery.
• Deep understanding of metrics layers, data models, transformations, and pipeline quality.
• Ability to design indicators, ensure accuracy, timeliness, consistency, validity, and traceability.
• Effective cross‑functional partner and communicator; explains technical trade‑offs to non‑technical audiences.

Responsibilities

• Define strategy, operating model, and priorities for the performance metrics function.
• Establish direction, standards, and expectations across the department.
• Build the function’s capability: team structures, processes, cross‑functional forums, and coaching for leaders.
• Build systems and standards to support day‑to‑day program execution.
• Maintain boundaries and hand‑offs with the evaluation team.
• Partner with central tech to ensure upstream pipelines meet standards.
• Design end‑to‑end data architecture – ingestion, warehousing, transformation, delivery.
• Stand up a modern BI stack with self‑serve reporting and automated pipelines.
• Define the quality bar for the analytics engineering layer (dbt, BigQuery).
• Direct technical judgment, assess quality, and execute delivery.
• Collaborate with product, implementation, and metrics teams to define operational metrics.
• Build dashboards for different audiences and enforce collaborative processes.
• Ensure analytics dashboards, insights, and decision tools are used by implementation and leadership.
• Raise data literacy across the organization.
• Transition analysts from manual reporting to semantic layer focus, enabling AI optimization.
• Develop strategy to improve frontline data usage with AI and qualitative data.
• Senior cross‑functional partner to tech, evaluation, and product; trusted advisor to the COO.
• Sponsor the function’s contribution to cross‑functional data science workstream.
• Champion shared tools, standards, and ways of working that lift analytics capability.

Skills

SQL

dbt workflows

BigQuery

Analytics leadership

Data architecture

Metrics design

Tools

dbt

BigQuery

Job description

Africa has the world’s youngest and fastest-growing population. By 2035, the continent is poised to contribute more young people to the global workforce each year than the rest of the world combined.

At Educate! we are focused on impact. We leverage iterative learning to build scalable youth employment solutions that unlock the potential of the world’s youngest continent.

We prepare youth in Africa to learn, earn and thrive in today’s economy by:

• introducing an employment-focused school subject into secondary education
• delivering livelihood boot camps for out-of-school youth, especially marginalized rural girls and young women

More than 500,000 youth have been impacted across Uganda, Rwanda, Kenya, and Tanzania. Educate! is the largest youth employment and skills provider in East Africa.

Position Overview

Educate! is becoming more data- and technology-driven, and the performance metrics function is central to that shift. This role drives the transformation of the current Performance Metrics team into an AI‑native team and sits on a cross‑functional senior leadership team implementing our predictive analytics strategy.

Expected Impact

Within the first year:

• First 6 months – define strategy, operating model, and staffing for the AI‑native performance metrics function.
• 12 months – 90% of implementation, product, and leadership teams use self‑service analytics, the analytics engineering layer on BigQuery is healthy and owned, and data architecture aligns with the predictive strategy.

What You’ll Do

Defining Vision and Structure for Performance Metrics Function

• Set strategy, operating model, and priorities for the performance metrics function.
• Establish direction, standards, and expectations across the department.
• Build the function’s capability: develop team structures, streamlined processes, cross‑functional forums, and coaching for leaders.
• Build systems and standards that support day‑to‑day program execution.
• Maintain clear boundaries and hand‑offs with the evaluation team.
• Partner with the central tech team to ensure upstream pipelines meet standards.

Data Engineering and Infrastructure – Build and own the technical foundation

• Design and own the end‑to‑end data architecture – ingestion, warehousing, transformation, delivery.
• Stand up a modern BI stack with self‑serve reporting and automated pipelines.
• Define the quality bar for the analytics engineering layer (dbt, BigQuery).
• Direct technical judgment, assess quality, and execute delivery.
• Collaborate with product, implementation, and metrics teams to define operational metrics.
• Build the capability for dashboards tailored to different audiences and enforce a collaborative process.
• Ensure analytics dashboards, insights, and decision tools are used by implementation and leadership.
• Raise data literacy across the organization.
• Transition analysts from manual reporting to semantic layer focus, enabling AI optimization.
• Develop strategy to improve frontline data usage with AI and qualitative data.

Partner and Accelerate Analytics

• Senior cross‑functional partner to tech, evaluation, and product; trusted advisor to the COO.
• Sponsor the function’s contribution to the cross‑functional data science workstream.
• Champion shared tools, standards, and ways of working that lift overall analytics capability.

Qualifications

• 7+ years in analytics, data, or M&E roles; several years building and leading teams.
• Experience managing managers and guiding team growth.
• Built or substantially grown a data or analytics team; proven hiring, leveling, and development.
• Strong analytics‑engineering depth with fluency in SQL, dbt workflows, and BigQuery.
• Deep understanding of metrics layers, data models, transformations, and pipeline quality.
• Ability to design indicators, ensure accuracy, timeliness, consistency, validity, and traceability.
• Effective cross‑functional partner and communicator; explains technical trade‑offs to non‑technical audiences.
• Energized by the mission – improving learning, earning, and livelihood outcomes for East African youth.

Non‑Traditional Backgrounds Are Welcome

This role does not require a traditional M&E or non‑profit background. We welcome leaders from start‑ups, social enterprises, or private sector with strong analytics depth, leadership ability, and sound judgment.

What We Offer

• Vibrant, mission‑driven environment with a supportive and fun team.
• Hybrid or fully remote work, depending on location.
• Competitive salary based on experience, with benefits aligned to your country of hire.
• Meaningful learning and growth opportunities.

EBT and Diversity Statement

We value diversity and strongly encourage women and individuals from all backgrounds to apply. African candidates are strongly preferred but we also consider exceptional candidates outside East Africa and the UK.

Child Protection & Safeguarding

All candidates are screened for child and youth safety. Applicants must provide a Certificate of Good Conduct. Educate! reserves the right to withdraw offers if any risks to youth are identified.