Data Analyst Business Intelligence

Coveo; Montreal (administrative region); On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading tech company in Montreal is seeking a skilled Data Analyst for its Corporate Business Intelligence team. In this role, you will develop dashboards, analyze large datasets, and build financial models to support key decision-making processes. The ideal candidate will have a bachelor’s degree in a related field and at least 2 years of analytical experience, preferably in finance. Proficiency in tools like Sigma, SQL, and Python is essential. Join us and drive value through data-driven insights!

Qualifications

• 2+ years of experience as a data analyst, preferably in financial analysis or an FP&A department.
• Experience with complex data analysis and data visualization tools.
• Proficient in manipulating and analyzing data using SQL and Python.

Responsibilities

• Develop and maintain dashboards and reports for real-time access.
• Extract and analyze large datasets to provide actionable insights.
• Build financial and analytical models for budgeting and forecasting.
• Deliver data-driven insights to forecast key metrics accurately.
• Streamline and automate reporting processes with the BI team.

Skills

Data analysis

Communication skills

Analytic mindset

Attention to detail

Education

Bachelor's degree in Finance, Accounting, Economics, Business, Data Science, Statistics, Computer Science or related field

Tools

Sigma

Tableau

Power BI

SQL

Python

Snowflake

Job description

Overview

Leveraging data insights for strategic planning! We are seeking a skilled and motivated Data Analyst to join our Corporate Business Intelligence team. As part of this role, you will work closely with the BI Manager and the FP&A Sr Director to support key decision-making processes, forecasting, and financial reporting. You will leverage your data analysis expertise to provide actionable insights, optimize financial models, and enhance reporting accuracy across a variety of business functions. If you’re highly analytical, detail-oriented, and comfortable working with large datasets, this role is for you! You’ll be able to showcase your communication skills, combined with your understanding of finance and business operations. All of which will be essential in driving value through data-driven insights and recommendations!

Responsibilities

• Develop and maintain dashboards and reports, ensuring real-time access to key stakeholders.
• Extract, clean, and analyze large datasets to uncover trends, variances, and opportunities for improvement.
• Build and support financial and analytical models to drive budgeting, forecasting, long-term planning, and key go-to-market decisions.
• Deliver data-driven insights to forecast revenue, costs, and profit margins accurately.
• Use BI tools like Sigma to convert raw data into actionable insights.
• Streamline and automate reporting processes while ensuring data accuracy and implementing best practices with the BI team.

Qualifications

• Bachelor\'s degree in Finance, Accounting, Economics, Business, Data Science, Statistics, Computer Science or related field.
• 2+ years of experience as a data analyst, with a strong preference for experience in financial analysis or working within an FP&A department.
• Analytic mindset with experience in complex data analysis.

Preferred qualifications

• Advanced experience with data visualization tools like Sigma, Tableau or Power BI.
• Advanced experience with cloud-based data warehouse tools such as Snowflake.
• Experience in SaaS or in the technology industry.
• Proficiency in data manipulation and analysis using tools such as SQL and Python.

Do you think you can bring this role to life? Or add your own color? You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your application, we want to hear from you!

Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.