🎯 OBJECTIVE: Empower our clients by delivering impactful Dataviz projects with Toucan’s software.
As a Dataviz Consultant within our Product Specialists team, your deep expertise in our software and passion for client success will drive the delivery of high-quality projects for our clients.
Gain an in-depth understanding of all features, capabilities, and updates of our software. Your goal is to become the go-to expert for both clients and colleagues
Collaborate closely with clients to understand their data visualization needs, objectives, and the specific business questions they seek to answer through data
Design and implement comprehensive data visualizations using our software
Work with clients to integrate their data sources with our software. Advise on automating data refresh and update processes to ensure that their data visualizations remain accurate and up-to-date
Deliver advanced training sessions to client teams, empowering them to master our software
Collaborate with other teams within Toucan, including Product Development, Customer Success, and Sales, to provide feedback from clients and influence our roadmap
Act as a champion for our software, advocating its benefits to clients and demonstrating how it can solve their specific business challenges through effective data visualizations
Contribute to internal knowledge sharing, improving project delivery quality and efficiency through best practices and lessons learned
THE IDEAL CANDIDATE will be not just a consultant but a true product ambassador, whose expertise in our software enables our clients to unlock the full potential of their data. You will thrive in this role if you are passionate about becoming a product expert, delivering exceptional client outcomes, and shaping the future of dataviz through innovative solutions.
Data Visualization Tools: First experience with Toucan or a Business Intelligence tool (Power BI, Tableau, Qlik, Looker, Excel, etc.). Ability to design and implement insightful data visualizations
Data Handling: Experience working with large datasets and understanding of data preprocessing, cleaning, and integration techniques. Familiarity with SQL or Python for data manipulation is a plus
Modern Data Stack: Familiarity with cloud data warehouses (e.g., PostgreSQL, Google BigQuery, Snowflake, Amazon Redshift, etc.), ETL tools, and an understanding of data integration processes and automation.
Web Technologies: Basic understanding of web development technologies (HTML, CSS, JavaScript) is a plus
Communication & Pedagogy: Ability to articulate complex data concepts in a clear and engaging manner to non-technical stakeholders. Strong presentation skills are essential
Customer-Oriented: A deep commitment to understanding and meeting client needs
Problem-Solving: Skilled at troubleshooting and resolving issues
Adaptability & Agility: Comfortable working in a fast-paced, evolving environment. Eager to learn new technologies and methodologies and apply them innovatively in projects
Collaboration & Teamwork: Demonstrated ability to work effectively in cross-functional teams, contributing to a collaborative work environment and sharing knowledge and best practices with colleagues
You arrive at the right time to take your place in a Growing organization and have an impact
You integrate a team of software developers, designers, sales people and PMs.
You’re autonomous, your initiative moves are greatly encouraged .
You set up a Must Have SaaS: Companies needs Analytics more than ever
An atmosphere Welcoming, Healthy and Simple.
Team collaboration is not a false promise but a reality
Pragmatic and resourceful, you’re a “doer” = you do things, quick and well.
You are convinced of the impact that data presentation can have
Creative, curious and autonomous, you are ambitious and want to participate to a start-up growth
You want to progress in the contact of performing individuals
First call to get to know each other
Second call with a mix of fit interview and technical interview
Third call with one of our Founder, who is leading the Product Specialists team
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