Data Analyst, Bigblue

• Some experience as a Data Analyst or Data Engineer: a minimum of 2 years, preferably in a high-growth tech startup or a data-driven environment
• The main goal of this experience is to ensure you are proficient enough in SQL and can challenge your work priorities
• If you have less than 2 years of experience but still believe you can make it, do not hesitate to apply
• Technical skills that make you autonomous in analyzing data: you are productive with SQL and spreadsheets and have some experience building tools and analyses that were used by other people. Some experience with a programming language (Python, Java, C, …) and/or git would be strongly appreciated
• The ability to communicate clearly: in written and verbal form, in French and English
• A problem-solving attitude: your consultative problem-solving skills help you find the best solutions, even in ambiguous environments
• Rigorous expectations: highly detail-oriented with a commitment to maintaining accuracy and thoroughness in all tasks

Desirable

• The Data Analyst is part of the Data team (which is part of the Product team), and serves as the data point of contact for the Merchant team
• Bigblue's Merchant team is dedicated to onboarding, supporting, and expanding our customer base. We strive to help our merchants grow sustainably by providing expert guidance on Bigblue's product offerings, services, and e-commerce best practices
• The role is quite wide, both technically and scope-wise - you’ll use data to discuss strategic decisions on multiple aspects of our business while implementing the technical parts that enable you and others to work efficiently
• Your data-driven insights, your business acumen, and tech savviness will be essential in driving strategic initiatives
• Optimize Team Performance: Identify inefficiencies within the team, design data-driven tools and processes, and implement them to improve overall performance
• Data Engineering: Build data models and pipeline empowering the whole Merchant team and management to be autonomous in their daily analysis needs. You’ll transform large datasets into clear and ready-to-use tables and dimensions
• Strategic Initiative Support: Conduct ad hoc analyses and generate reports for management to inform strategic decisions. Share analysis results with team members to help prioritize and drive strategic initiatives
• Routine Ownership: Own and automate key routines such as billing and CRM updates, maintaining accuracy and efficiency in these processes
• Customer Growth Recommendations: Utilize available customer data to identify opportunities for growth and provide strategic recommendations to help customers succeed