Data Analyst

Greenpeace • Montreal, QC

4d • CA$64,643 - CA$69,918 • Hybrid

About The Position

As a member of the Fundraising team and working closely with the Program team, the Data Analyst collects, manages, and analyzes data to achieve fundraising and engagement goals and supports Greenpeace’s vision of achieving greater integration of systems and tools across the organization. Reporting to the Head of Engagement Systems and Insights, the Data Analyst oversees the consistency and integrity of data and performance metrics, monitors and reports on key performance indicators, leads data-related projects, contributes to improving processes or workflows and provides back up on data administration as needed. Working with Greenpeace’s data platform and other technical roles across the wider Greenpeace network, the analyst takes available and custom data sources and models and uses them to develop dashboards to sharpen judgment, decision-making, innovation and impact, transforming data into actionable insights for staff.

Requirements

• Minimum 3 years’ experience in a similar role, with experience in complex data work and associated technologies (complex meaning either: large data volume, wide data type variety, velocity of data, or managing automated data pipelines/workflows).
• Knowledge and/or experience in data analysis using SQL (essential), and ideally also Python.
• Knowledge and/or experience of Business Intelligence and dashboarding tools (e.g. Looker Studio, Hex, Tableau or Power BI).
• Comfort working with a modern cloud data platform (ideally Google BigQuery, or AWS, etc) and a shared/standardized data model (such as an Enterprise Data Model). Experience with data architecture and modelling (ELT, dbt) is an asset.
• Knowledge and/or experience in integration design using iPaaS tools (e.g. Workato, Brightvine, Omatic).
• Knowledge and/or experience of Customer Relationships Management such as HubSpot, Raiser's Edge or Salesforce.
• Knowledge and/or experience of UTMs and web analytics.
• Knowledge and/or experience in fundraising and/or lead generation.
• Knowledge and/or experience in data analysis and statistical methods.
• Meticulous attention to detail.
• A logical approach to work.
• Ability to prioritize tasks and meet deadlines.
• Analytical and problem-solving skills.
• Strong presentation and communication skills.
• A team player with a strong customer service focus.
• Fluency in written and spoken English (French fluency is an asset).

Nice To Haves

• Experience with data architecture and modelling (ELT, dbt) is an asset.
• French fluency is an asset.

Responsibilities

• Streamline the data pipelines transferring information to and from external fundraising vendors and channels (telemarketing, digital advertising, lead generation, etc.), ensuring data integrity.
• In collaboration with the Data Administrator, map out and maintain automated integrations using iPaaS tools (e.g., Workato, Omatic, Brightvine) to eliminate manual integration.
• Identify gaps in current tracking and collaborate with teams to implement robust data capture methods across all acquisition touchpoints.
• Work with the organization's modelled data and semantic layer in the cloud data warehouse (Google BigQuery).
• Lead data-focused infrastructure projects aimed at improving audience segmentation, pipeline efficiency, and overall fundraising performance.
• Design, build, document and maintain interactive, user-friendly dashboards and BI reports that give fundraising and program teams visibility into their KPIs.
• Aggregate and analyze performance data across fundraising streams (e.g. telemarketing, paid media, lead generation) and engagement platforms. Translate complex data sources into clear, actionable insights to optimize campaign ROI and retention.
• Conduct deep-dive analyses, train teams and present data-backed recommendations to inform both immediate campaign tweaks and long-term fundraising strategies.
• Help standardize, build and maintain the consistency of fundraising, lead generation and engagement metrics to ensure everyone is measuring impact the same way.
• Build advanced donor and prospect segmentation profiles to track behavioral trends, retention rate, enabling highly-targeted, personalized campaigns across digital ads, telemarketing, email marketing and lead generation.
• Provide analytical support to teams evaluating opportunities or campaigns.
• Mentor and train team members on data systems and projects.
• Collaborate closely with team members to establish effective processes for new data flows and to optimise processes. Participate in documentation efforts for all data-related projects.
• Perform other tasks as assigned and provide data administration back-up as needed.

Benefits

• Four-Day Work Week – Enjoy a 28-hour work week with full-time pay and benefits, giving you more time to recharge and live your values outside of work.
• Generous Paid Leave – From vacation and personal days to additional leave options, we prioritize rest, balance, and care for yourself and your loved ones
• Comprehensive Health Coverage – Robust medical, dental, and vision plans that support your overall health and extend to your family.
• Growth & Learning Opportunities – Access to ongoing professional development, learning, and skill-building to help you grow in your role and beyond.
• Values-Driven Culture – Join a compassionate, equity-centered workplace rooted in collaboration, inclusion, and a shared mission to create a more just and sustainable world driven organization committed to equity, inclusion, care, and collective impact.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed