Data valorization expert

OSEDEA•Montreal, QC

3d•Remote

About The Position

We are a thriving and agile tech development firm where people are at the center of everything we do. We personally care about our clients, the world around them, and our team’s life-long dreams, aspirations, and career development. We strongly believe in the power of community and seek opportunities to build meaningful relationships. We celebrate diversity and actively innovate, learn, and share stories around the topic, ensuring everyone feels welcomed and included. We enjoy having fun and are inspired daily to build a more efficient and enjoyable world.

Requirements

A bachelor’s degree in Business Administration, with a concentration in Technology Management or a related field (a master’s degree in Business Intelligence is a strong asset)
Experience with Power BI, including skills in DAX, M, data modeling, and SQL
A strong results-oriented mindset and a well-developed sense of customer service
Excellent communication skills in both French and English
Autonomy, rigor, a collaborative mindset, and strong attention to detail

Nice To Haves

Experience in consulting will be considered a significant asset
Microsoft certifications (DA-100, PL-300) are an asset

Responsibilities

Animate working sessions with users (partners) to identify their analytical needs
Document analytical needs through principles following the Agile project management methodology
Develop a good understanding of the business context in which analytical solutions will be used
Have an excellent understanding of the analytical or decision-making process followed by users of analytical applications
Document the calculation rules used to calculate the performance indicators and measures to be used by reports and dashboards
Develop analytical application interfaces using data visualization tools such as Microsoft Power BI
Advise the user on the optimal presentation of information in order to promote the adoption of data solutions developed for the user
In consultation with the solution architect, modify or design the data model necessary to support the analytical needs stated by the user
In consultation with project managers, estimate the effort and time required to complete the design, development and testing of the analytical solutions to be implemented
Respect the production dates of the deliverables, as agreed with the project manager and/or client
In consultation with the user, prepare prototypes of analytical solutions and improve them iteratively
Follow the evolution of technologies in relation to the design and implementation of analytical solutions