Senior Data Analyst

Job Highlight

The Senior Data Analyst will play a key role in leading Giga's data strategy, ensuring that Giga's datasets, pipelines, and analytics products are accurate, open, actionable, and impactful. This role will oversee the development of data governance standards, open-source data processes, and analytics frameworks to drive data-informed product and policy decisions.

Role Purpose
The role will be based in Barcelona, Spain, as part of the Giga Barcelona Tech Centre. The consultant's on-site presence facilitates collaboration, engagement with local partners, and participation in key events.

Functions / Key Results Expected

Under the supervision of the Data & Product Lead, Senior Data Analyst will lead Giga's data analytics, governance, and open-source data workstreams. The Senior Data Analyst will develop data strategies, manage data pipelines and quality frameworks, coordinate with technical partners, and provide strategic insights to guide Giga's mission to connect every school to the Internet.

Key Responsibilities:

• Data Strategy: Develop and implement Giga's comprehensive data strategy, defining the vision for data-driven decision-making and analytics innovation.
• Open-Source Data Management: Design and execute a plan to open-source Giga's school geo-location and connectivity datasets, ensuring compliance with data quality and licensing standards.
• Data Governance & Quality: Establish and oversee data governance best practices, including data documentation, metadata management, and quality assurance processes using tools such as Datahub, Deltalake, and Great Expectations.
• Data Integration & Pipelines: Collaborate with engineers to design, maintain, and optimize robust, scalable, and automated data pipelines ensuring the integrity and timeliness of analytics outputs.
• Product Analytics: Build and manage analytics frameworks and dashboards (e.g., in Superset, Grafana, Mixpanel) for Giga's digital products (such as Giga Maps and Giga Meter) to monitor adoption, performance, and impact.
• Network Data Partnerships: Act as a technical lead for data partnerships with Internet Service Providers (ISPs) and network partners, defining requirements and overseeing data integration with Giga's monitoring systems.
• Advanced Analytics & Insights: Develop automated reports, visualizations, and analytical stories to provide actionable insights for internal teams, partners, and the public.
• Stakeholder Engagement: Represent Giga's data initiatives to governments, private sector partners, and open-source communities, organizing data workshops and capacity-building sessions.
• Open Data Community Building: Work alongside the open-source community manager to engage contributors, manage data repositories, and drive community participation.
• Knowledge Sharing: Contribute to analytical blog posts, internal documentation, and communication materials to disseminate insights and best practices.
• Monitoring and Progress Controls

Item

Outputs/Deliverables

Month/Year

1

• Comprehensive data strategy for Giga developed, documented, and implemented, outlining vision, priorities, and roadmap for data-driven decision-making.
• Plan for open-sourcing Giga's school geo-location and connectivity datasets, ensuring compliance with licensing and data quality and licensing standards.

Ongoing

2

• Data governance framework established and maintained, including documentation, metadata management, and quality assurance using tools such as Datahub, Deltalake, and Great Expectations

Ongoing

3

• Robust and automated data pipelines designed, maintained, and optimized in collaboration with engineers, ensuring data integrity and timeliness

Ongoing

4

• Product analytics dashboards (e.g., Superset, Grafana, Mixpanel) developed and maintained to monitor adoption, performance, and impact of Giga's digital products
• Automated reports, visualizations, and analytical outputs produced to provide actionable insights for internal and external stakeholders

Ongoing

5

• Data partnerships with ISPs and network partners managed, with integration requirements defined and data flows established within Giga's monitoring systems
• Data-sharing requirements defined and implementation progress tracked

Ongoing

6

• Engagement with governments, private sector partners, and open-source communities maintained through data workshops, capacity-building sessions, and community collaboration

Ongoing

7

• Contributions made to blog posts, documentation, and other materials to share findings and promote open data participation.

Ongoing

Education Requirements

Required

• Advanced university degree (Master's or higher) in Statistics, Data Analytics, Computer Science, or a related field is required.
• A first University Degree (Bachelor`s degree or equivalent) in a relevant field combined with 2 additional years of professional experience may be accepted in lieu of an Advanced University Degree.

*Required*
Experience Requirements

• Minimum of 5 years of professional experience in data analytics, data engineering, or related field is required.
• Experience managing geo-spatial and/or internet network datasets and conducting product analytics is required.
• Hand-on experience with open-source analytical stacks such as Superset, Trino, QGIS, Kepler, Mapbox, Carto, PostgreSQL, and Dagster is required.
• Experience with Python and SQL for data analysis and automation is required
• Experience implementing data governance and data quality frameworks using tools such as Datahub, Deltalake, or Great Expectations is required.

Desired

• Experience with product analytics tools (e.g., Matomo, Grafana, Mixpanel)
• Experience working in agile environments using collaboration tools such as Slack, Jira, and Zoom.
• Knowledge of computer networks and understanding of Internet Service Provider (ISP) systems is an asset.
• Demonstrated commitment to data quality, reproducibility, and actionable insights.
• Experience in developing countries or familiarity with humanitarian/emergency contexts is an asset.