Data Analyst, Corporate Business Intelligence

  • Montreal (Province of Quebec, Canada); Quebec City (Province of Quebec, Canada)
  • Spontaneous Applications
  • Full-time
  • Hybrid
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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!

As our Data Analyst you will:

  • 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.

Here is what will qualify you for the role:

  • 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.

What would make you stand out:

  • 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.

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Absolutely! This is a question women and under-represented groups ask themselves more often than the rest of the population. Don't underestimate yourself, we are not looking for someone perfect but for someone who is motivated, capable and who will thrive in this position. Allow us to discover you!

Coveo is a Quebec-based company, pioneer in AI-powered search and recommendations. Coveo uses AI technologies and intelligent search to personalize every digital experience for customers, partners, dealers, and employees. Coveo combines unified content, unified interactions behavioral data and machine learning to deliver relevant information and recommendations across every business interaction, making websites, e-commerce, contact centers and intranets efficient, effortless, content-rich, thus boosting conversion.

If it were easy, someone else would have done it. All of our colleagues at Coveo find the drive to continuously seek new challenges and test roads no one else has ever explored. This ethos has allowed us to become a world leader in an innovative industry and to create a collaborative, diverse and trusting place to work filled with amazingly talented and passionate people. We love a good challenge, and we never say no to an opportunity to learn and develop new cutting-edge skills. Discover our values here

In-person
This role requires you to be in the office full-time, whether it be at our Quebec, Montreal, Weert, or London locations. Our modern infrastructures are designed to enhance cross-team collaboration and promote overall well-being.

Hybrid
Our offices in Quebec City, Montreal, London and Weert are designed to foster collaboration and your well-being. We gather there on our pillar days two times a week to strengthen in-person interactions and encourage creativity, all while providing you with the flexibility of a hybrid environment.

Remote
We hire from all over the world because the diversity of backgrounds fuels our continuous innovation. Our benefits will enable you to work comfortably from home, but you may be required to travel to attend our in-person team-building events.

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Coveo is an inclusive employer who values D&I principles and is dedicated to be a self-aware employer. We are determined to ensure all candidates are treated with equity and fairness and that everyone gets an equal chance to access employment opportunities at Coveo.

Note that the following questions are entirely optional and, if you choose to answer, will not be linked to your name or job application. It will therefore not affect your application. The data will be aggregated and will serve reporting purposes only so we can measure the level of inclusivity of our hiring process and identify potential areas of improvement for our D&I hiring practice. For more information on the way we process your information, please refer to our Applicant and Candidate Privacy Notice.

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Coveo est un employeur inclusif qui respecte et valorise les principes de Diversité et Inclusion et est décidé à être une organisation consciente. Nous sommes déterminés à ce que tous les candidats soient traités de façon juste et équitable et disposent d'une chance égale d'accéder aux opportunités d'emploi chez Coveo.

Les questions suivantes sont totalement optionnelles et n'affecteront pas ton application. Les données seront agrégées et serviront à analyser le degré d'inclusivité de notre processus ainsi que des pistes d'améliorations potentielles dans notre pratique de Diversité et Inclusion. Pour plus d'information, merci de te référer à notre Avis de confidentialité pour les candidats et postulants.


 

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