Responsible for supporting the Data & Learning team and the wider LFC team, ensuring optimal user experience of accessing and viewing organization data for decision-making.

Responsibilities

Database Management

• Support the Manager, Data & Learning in maintaining and monitoring end-to-end data pipelines, including data flows from award application portals, donation platforms, and the CRM.
• Assist in designing, updating, and reorganizing relational database schemas to reflect evolving programmatic, reporting, and operational needs.
• Document changes to database structures, field definitions, naming conventions, and data standards to ensure consistency and institutional knowledge.
• Build, test, and monitor automations that reduce manual data entry and enable accurate, efficient transformation of large datasets.
• Conduct regular data clean-up and integrity checks to identify duplicates, inconsistencies, or missing information across databases and CRM systems.
• Track, monitor, and report on data collection processes involving external stakeholders (e.g., applicants, awardees, donors), identifying gaps and opportunities for improvement.
  Support ongoing improvements to data governance practices, including version control, validation rules, and data quality standards.

Data Analytics

• Query and extract data from internal databases to respond to analytical questions from program, operations, communications, partnerships, and leadership teams.
• Support descriptive and exploratory analyses to help teams understand trends, performance metrics, and outcomes from different projects and initiatives.
• Translate analytical questions into clear data requirements and ensure outputs are accurate, well-documented, and reproducible.
• Assist in validating analytical results by checking assumptions, inputs, and transformations.
• Contribute to the development of standard metrics, indicators, and recurring analyses used across the organization.pic advisors, relevant donor intermediaries, and Bold Solutions Network members.

Organization-wide Data Support

• Support the tracking, maintenance, and reporting of organization-wide learning goals and key performance indicators (KPIs), ensuring consistent definitions and reliable data sources.
• Create and maintain reports, dashboards, and data summaries tailored to the needs of different teams and projects throughout the year.
• Partner with colleagues across the organization to understand data needs and deliver accessible, actionable views of information.
• Support database and CRM user access by assisting with permissions, roles, and logins in coordination with system administrators.
• Provide guidance and basic troubleshooting support to staff using data tools, reports, or dashboards.
• Help document reporting logic, definitions, and usage guidelines to promote consistent interpretation of data across teams.
• Contribute to a positive data culture by promoting clarity, usability, and confidence in organizational data.

Skillset

• Two years of professional experience building or managing relational databases in a social/environmental impact context; designing and executing data collection efforts; building automations; supporting philanthropic programming; and facilitating program design.
• Minimum of a BA/BS in Computer Science, Economics, Statistics, Mathematics, or International Affairs/Development.
• A positive “can-do” attitude and a willingness to do what is necessary to get the job done, driven by a strong sense of curiosity and creativity.
• Well-developed organizational skills and attention to detail.
• Demonstrated ability to communicate technical matters to non-technical audience, whether verbally or in written form.
• Able to manage multiple tasks and projects under tight deadlines.
• Able to take initiative and work proactively.
• Experience working across departments or with external stakeholders at all levels; able to use discretion and maintain confidentiality; cultural sensitivity and demonstrated ability to work diplomatically with diverse constituencies.
• Experience communicating insights through data-driven storytelling, including internal memos, public-facing blog posts, and data visualizations (e.g., charts or maps).
• Technologically savvy with strong platform intuition and platform agnosticism.
• English fluency (spoken and written).
• Demonstrated competency in public speaking.
• Ability to use or learn a programming language (e.g., Python) and artificial intelligence tools for tasks such as web scraping, data transformation, and analytical summarization.

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