</div>This is a Full-Time Role (40 hours per week, 5DWW) with no option for part-time work. While this is a remote-first opportunity, the candidate filling this role must be a resident of the Netherlands or in the U.K. at the start of employment. Additionally, they must be within commuting distance of our office in Amsterdam or London.  Please visit <a href="https://boards.greenhouse.io/blab" target="_blank">our Careers page</a> to review all opportunities and submit your application for the role(s) that best fit your location and work authorization.

<hr>

<h2>About the Team</h2>

The Data & AI team is responsible for building B Lab's data platform, delivering on business priorities, and scaling AI adoption across the organization. The team reports directly to the CTDO. Organizational Objectives is one of three pillars within Data Analytics & AI Enablement — the demand-side of the Data & AI team. It turns trusted data into decisions on B Lab's most important organizational objectives, working alongside business and programme owners across the network. This Data Analyst role provides broad, cross-topic analytical support within the pillar and, as needed, across the wider team.

<h2>About the Opportunity</h2>

The Data Analyst is a broad, cross-topic analyst within the demand-side of the Data & AI team. Working under the direction of the Director of Data Analytics & AI, the role builds dashboards, prepares reports, and runs analyses across a wide range of topics — from growth to comms and standards/impact — and is the responsive for various requests coming from the Organization Objective working groups (NPs). This is a developing role: the analyst contributes ideas and acts as a thought partner where they can, while working with guidance and review from the Director and senior analysts. Alongside day-to-day analysis and requests, the role helps make data easier to use for staff across the organisation — building reusable, well-documented, global assets — and grows toward a more independent, specialised analyst over time.

<h2>Core Responsibilities </h2>

Data Requests & Stakeholder Support (40%)

<ul>

<li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Run the day-to-day data-requests intake related to Organizations Objective</li>

<li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Participate as a thought partner in some Organization Objective workstreams, providing proactive ideas about the role of data in the workstream</li>

<li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Speak with staff across the organisation to understand their data needs and translate them into clear analyses, reports, or dashboard updates.</li>

<li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Act as a responsive, helpful first point of contact for data questions across topics (growth, comms, policy, and more), escalating or seeking guidance on more complex requests.</li>

</ul>

Dashboards, Reporting & Analysis (35%)

<ul>

<li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Build, upgrade, and maintain dashboards across a range of topics, from certification and growth to comms and standards/impact.</li>

<li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Prepare recurring and ad-hoc reports, and conduct data analysis to surface trends and answer questions for teams.</li>

<li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Collaborate with the platform team (data engineers / analytics engineer) to keep dashboards accurate as data sources and schemas change.</li>

<li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Apply basic statistical methods and clear data storytelling to make findings understandable and useful.</li>

</ul>

Data Enablement, Accessibility & Learning (25%)

<ul>

<li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Help make data easier to use for staff across the organisation — building reusable, well-documented assets (guides, templates, self-serve dashboards) designed for the whole global network, not a single team.</li>

<li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Support the development and upkeep of internal data-use guidance and light training materials, distilling complex data into digestible, shareable formats.</li>

<li style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Grow their own capability — learning from senior analysts, participating in team practices (retrospectives, feedback), and building toward a thought-partner role over time.</li>

</ul>

<h2>About You</h2>

<ul>

<li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Relevant degree (Mathematics, Computer Science, Information Management, Statistics, or comparable) </li>

<li style="font-weight: bold; font-size: 12pt; font-family: helvetica, arial, sans-serif;">A minimum of 1–2 years of relevant experience focused on data analytics</li>

<li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Strong analytical skills: the ability to collect, organise, analyse, and communicate information with attention to detail, presentation, and accuracy</li>

<li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Clear communication and data storytelling: the ability to apply and explain basic statistical methods (e.g. descriptive statistics and hypothesis testing) in decision-making</li>

<li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Proficiency with Business Intelligence tools (Tableau, Power BI, Metabase, or similar) and querying databases (PostgreSQL, AWS Athena, or similar)</li>

<li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">Programming and data tools: SQL (mandatory); R or Python preferred; Excel / Google Sheets</li>

<li style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><span style="

Data Analyst (Amsterdam, NLD)

Key details

Job Description

Trust-check this listing

Related roles

Junior Data Engineer (New York, NY)

Junior Data Engineer (Philadelphia, PA)

Junior Data Engineer (São Paulo, BR)

Data Analyst (London, UK)