Insights Analyst (New York, NY)

About the position The Insights Team exists to enable and produce credible and data driven insights from our BIA data set to help B Lab and others pursue its theory of change and goal of creating an inclusive, equitable, and regenerative economy (from Insights Team Launch Briefing ). Specific responsibilities are: Set and implement insights strategy in coordination with B Lab Theory of Change and Objectives Analyze data to inform standards improvements Produce external insights on key topics related to B Labs theory of change, including but not limited to B Labs impact as an organization Engage, support, and partner with research organizations and academics on key topics related to B Labs theory of change Manage a monitoring and evaluation framework to support program leads, global partners, and other decision makers in their own monitoring and evaluation and strategic decision-making Manage and improve B Labs dataset to ensure optimal usage and value internally and externally As part of the Insights team, the Insights Analyst will serve as the knowledge holders of our existing standards and data systems, the keys to the actual production of the Insights we are seeking now and in the future, and thus be the key drivers of us creating a more specialized and more impactful Insights team and strategy. This role will be the expert in managing and generating insights on a day to day basis - overseeing and guiding the management and quality of our data (including standards content as well as results), analyzing that data to identify trends and other key insights and recommendations. They will also provide active support to others based on their expertise to support a network and culture of data-driven decision making, communications, and partnerships. Responsibilities Internal analytics, data use, and data provision [60%] Upgrade and maintain dashboards Support managing a ticketing system to respond to data requests from across the B Lab network, as well as speaking to staff across the organization to understand data needs Support the development and implementation of internal data use guidance and training materials through research, distilling data, and sharing findings via presentations or written share outs Manage and maintain external data provision (i.e. data.world) Coordinate and collaborate with the technology team to update dashboards with accurate data as database schema changes Collaborate closely with data engineers to optimize data retrieval, storage, and processing procedures Develop and maintain data models to support dashboards and deliver enhanced insights through machine learning techniques Research and thought leadership [20%] Research and analyze data for internal studies and to contribute to thought leadership pieces Support the Global Communications and Global Policy teams through data creation and distilling complex data to digestible pieces to bolster evidence-informed narratives Support external (research) parties on thought leadership and research pieces B Lab Monitoring Evaluation and Learning (MEL) support [20%] Provide research and data analytics support for the development and implementation of the B Lab MEL framework Support on the data analytics required to implement B Labs MEL framework Requirements At least 2 years of professional experience, with at least 1 year of that experience focused on data analytics Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail, presentation and accuracy Specialist in Business Intelligence tools ( Tableau, Power BI , Metabase, etc.) and querying databases (Postgresql, AWS Athena, etc.), and Salesforce Knowledge and experience using programming languages ( SQL mandator y; R, Python preferred) and data tools (Excel, Google Sheets) in a data analysis, machine learning, or data science capacity Emerging skills in using AI tools to support data analysis, with an emphasis on human oversight, quality checks, and responsible use of AI. Experience or desire to assist in the design and maintenance of scalable data pipelines to ensure efficient data flow and accessibility Adept applying and explaining basic statistical methods (e.g., descriptive statistics and hypothesis testing) in data storytelling and decision-making Ability to listen objectively to many points of view while actively checking one's own assumptions and reducing bias Experience with working across departments, with internal and external stakeholders, and with people from a variety of expertise Ability to understand the needs and interests of stakeholders, and to productively collaborate towards joints results Self-directed with the ability to work both independently and as part of a team BS in Mathematics, Computer Science, Information Management, Statistics or comparable education Nice-to-haves Business proficiency in languages .