Data Valorization Analyst

COFOMO; Montreal; Hybrid; CAD 70,000 - 95,000; Full time

Job summary

COFOMO in Montreal is seeking a Data Valorization Analyst to contribute to the exploitation and enhancement of data, supporting business decisions with rigorous analysis.

You will extract, describe, and interpret data, ensure quality of master data, develop analytical solutions, and design reports using Power BI, SAS, DAX, SQL, EBX and Excel. A minimum 3 years of experience, Agile experience, and strong communication are required in a hybrid role with on-site presence two days weekly.

Qualifications

• Minimum 3 years of relevant experience.
• Experience with data analysis, transformation, and loading.
• Experience with Agile methodologies (Scrum and Kanban).
• Proficiency in SAS and DAX languages.
• Knowledge of databases and SQL.
• Familiar with Power BI, EBX and Excel.
• Hybrid work arrangement requiring on-site presence two days a week.

Responsibilities

• 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 data quality.
• Support clients in intervention mandates and the development of analytical solutions.
• Design reports adapted to business needs using available data.
• Participate in complex business files and projects requiring in-depth analysis.
• Develop recommendations and action plans based on organizational directions.
• Collaborate with stakeholders to present analysis results and communicate them.

Skills

Data analysis

Communication skills

Analytical thinking

Strategic mindset

Tools

SAS

DAX

Power BI

Excel

EBX

SQL

Job description

# 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.