Booking NL

Data Analyst (For Independent contractors)

Posted Sep 25, 2025
Project ID: 9813-1
Location
Amsterdam, NH
Hours/week
40 hrs/week
Timeline
3 months
Starts: Oct 1, 2025
Ends: Dec 31, 2025
Payrate range
50 - 102 €/hr

Role Overview


We are looking for a Data Analyst to support the operationalization of the Partner Scorecard, a strategic initiative that brings together cross-functional B2B partner experience metrics into a unified measurement framework. The DA will be responsible for building scalable data pipelines, structuring workflows, and delivering actionable visualizations that enable leadership to track partner experience outcomes consistently across functions. This role sits at the intersection of research, product, and customer success, and requires strong analytical skills combined with an ability to translate complex data into clear, executive-ready insights.



Key Responsibilities


  • The DA will work closely with Research, CS, and Product stakeholders to integrate disparate data sources (e.g., PSAT, operational KPIs, partner survey data) into a harmonized dataset that underpins the Partner Scorecard.

  • They will design repeatable processes to collect, clean, and standardize metrics, ensuring comparability across departments, and collaborate with stakeholders to ensure the Scorecard reflects both quantitative KPIs and qualitative partner voice.

  • They will also own the creation of dashboards and visualizations that bring the Scorecard to life, making it easy for executives and teams to understand trends, drill into partner journeys, and identify opportunities for improvement.

  • A core part of the role will be applying AI/LLMs to classify unstructured partner sentiment (e.g., open-text survey comments, partner communications) into meaningful themes that map to key partner journeys (CUJOs).



Impact & Growth


  • This role is pivotal in ensuring the Partner Scorecard is not just a one-off report but a living, sustainable system that drives accountability and decision-making at ELT level. By operationalizing workflows and embedding the right visualizations, the DA will help transform fragmented measurement into a coherent view of partner experience, aligned with both CS and Product priorities.

  • This position offers significant exposure to senior leadership, an opportunity to shape the metrics that define partner success, and a chance to influence how the organization invests in partner-facing improvements through 2026 and beyond.



Requirements of special knowledge/skills:


  • Expertise in SQL & Python


  • Experience with Airflow


  • Expertise in architecting, building and maintaining efficient & reliable data models and pipelines, especially for data visualization and analysis


  • Expertise in big data ecosystems


  • Familiarity with GitLab


  • Experience with dbt is a plus


  • Experience with Streamlit is a big plus


  • Experience with LLMs is desirable


  • Openness to feedback and a strong team player



  • AI / ML Skills (bonus):


  • Experience applying Large Language Models (LLMs) or NLP techniques for text classification and sentiment analysis.


  • Ability to fine-tune, prompt, and evaluate LLM performance against partner experience data.


  • Familiarity with model validation, bias detection, and data quality assurance in AI-powered workflows.


  • Understanding of scalable approaches to integrate AI outputs into standard dashboards and reporting.




Key Responsibilities:


  • Work with large scale data assets


  • Create and manage workflows that will be used for data visualization and analysis


  • Be responsible for data management-related Data Governance processes (e.g. data asset creation, data classification)


  • Ensure scalability, reproducibility and long-term orientation in the work they do


  • Possibly build data apps with Streamlit to create visualizations based on the workflows output


  • Collaborate and be open to giving and receiving feedback with peers and direct stakeholders


  • Be flexible in proposing and spotting opportunities to apply new approaches and expanding technical competencies



  • The overall project has been agreed on with leadership and is currently being planned. This person would be responsible for one of the key elements of the entire plan.



What kind of project is it?


The Partner Scorecard - a cross-functional initiative to build a unified, partner-centric measurement framework and dashboard that consolidates multiple data sources (surveys, operational data, sentiment).



What is the current state of the project?


We’ve defined the metrics and built a first static prototype with limited support. To scale, we now need to operationalize the data tables and workflows.



What are the goals?


  • Automate pipelines for reliable and timely data refresh


  • Create clean, structured datasets for analysis and visualization


  • Enable actionable insights for leadership and product teams



What are the deliverables?


  • Core data tables with automated refresh


  • Data workflows integrating multiple partner feedback sources


  • Backend foundation for the Partner Scorecard dashboard



What are the priorities?


  • Set up scalable ETL pipelines and data model


  • Ensure data quality and consistency across sources


  • Support the MVP Scorecard delivery and scaling in 2026