# Data Valorization AnalystMontrealHybridData and Artificial IntelligenceApplyWith over 30 years of recognized expertise, COFOMO is now a leading Canadian consulting firm specializing in digital and artificial intelligence. Supported by more than 3,000 experts, 10 Centers of Excellence, and 4 offices across the country, we are uniquely positioned to successfully guide our clients through their transformations. Both strategic and tactical, we help organizations across a wide range of industries thrive in today’s rapidly evolving world.## Our promiseHelp our clients succeed and maximize the impact of their transformation initiatives, turning them into powerful drivers of growth and innovation.## Job description**Here's a brief overview of the tasks and responsibilities you'll have :**

• Contribute to the exploitation and enhancement of data collected through different channels;

• Extract, describe, analyze and interpret data to facilitate business decision-making;

• Interpret the organization's master and reference data and ensure the quality of the data delivered by the execution teams;

• Support clients in the context of intervention mandates and the development of analytical solutions;

• Design reports adapted to business needs by exploiting available data;

• Participate in the realization of complex business files and projects requiring in-depth analysis and detailed knowledge of the business field;

• Develop recommendations, solutions and action plans based on the organization's directions and objectives;

• Act as a resource person for the exploitation and valorization of data with the various stakeholders;

• Collaborate with various stakeholders to understand needs, present analysis results and communicate them.

**The profile you are looking for is as follows:**

• Possess a minimum of three (3) years of relevant experience;

• Experience with tools and best practices for data analysis, transformation, and loading;

• Experience with Agile methodologies, including Scrum and Kanban;

• Be proficient in SAS and DAX languages;

• Knowledge of databases and SQL;

• Use Power BI, EBX, and Excel;

• Demonstrate excellent communication and outreach skills;

• Meticulousness, attention to detail and strong analytical skills;

• Possess a strategic mindset and the ability to make quality decisions;

• Knowledge of data security principles, including access patterns and data protection (an asset);

• Accept a hybrid work arrangement that requires on-site presence two days a week.
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