Data Analyst, Operational, Commercial & Corporate Analytics at The CSL Group Inc

Montreal, Quebec, Canada -

Full Time

Start Date

Immediate

Expiry Date

22 Apr, 26

Salary

0.0

Posted On

22 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytical Skills, Problem-Solving Skills, Attention to Detail, Data Queries, Visualisations, Communication Skills, Data Investigation, Collaboration, Task Management

Industry

Maritime Transportation

Description

Overview Are you a passionate Data Analyst, Operational, Commercial & Corporate Analytics? Are you looking to work with one of Montreal’s top employers? Are you tech savvy with strong business knowledge and skills? Set sail for your future with CSL as a Data Analyst – Operational, Commercial & Corporate Analytics in the Corporate IT department at Montreal! What do you gain by working with us? At CSL, we acknowledge that our employees are at the heart of our success. That’s why we offer much more than just a job: Pension plan – Your future, perfectly secured with an RRSP plan in place. Peace of mind guaranteed: Unlock our exceptional benefits package! Enjoy top-tier healthcare & access to dental coverage (100% to 95% employer-paid), life insurance up to 2.5x your salary, a generous bonus program, gym membership allowance, and much more. Experience Our Anchor Days: offering flexible work hours and freedom to work from home up to 2 days per week to help fit your lifestyle. With a global presence comes a diverse workforce – we bring together talent from all corners of the world to drive innovation and success: CSL values diversity and inclusion, allowing everyone to thrive. Continuous professional development: We invest in your growth with training and advancement opportunities. How will you contribute to our success? Analyse data from the Databricks data lake, IoT platform and ERPs for operational, commercial, and corporate reporting. Create dashboards, reports, and analytical outputs for teams in operations, commercial, commercial, and leadership. Provide ad-hoc data extractions upon requests. Work with data engineers to specify data needs, review pipelines, and address data quality. Develop and maintain performance indicators and metrics relating to production, cost, revenue, and monitoring. Conduct root cause analyses and identify trends using time-series and transactional data. The skills you will bring to our team Analytical and problem-solving skills with attention to detail Ability to convert business requirements into data queries and visualisations Communication skills suitable for technical and non-technical audiences Ability to investigate data sets and identify patterns or anomalies Capability to collaborate across departments and with data engineers Skill in managing multiple tasks in a dynamic setting Knowledge of English is necessary for this role due to daily interactions with colleagues, clients and partners who are mainly located outside Quebec and in order to understand regulatory requirements and technical instructions and specifications. Why CSL? The CSL Group Inc. (“CSL”), based in Montreal, Canada is a world-class provider of complex marine solutions with a rich history dating back to 1845. We are the world’s largest owner and operator of self-unloading vessels, the third-largest operator of cement carriers, and a leader in high-efficiency transhipment solutions and offshore logistics. Every year, we transport and handle millions of tonnes of cargo for industrial clients around the world. At CSL, we foster a culture rooted in safety, sustainability and innovation, offering a supportive environment where you can thrive, work with purpose, and make a meaningful impact. We thank you for your interest and your application; however only those selected for an interview will be contacted. Explore our mission and values here - CSLships.com

Responsibilities

The Data Analyst will analyze data from various sources for operational, commercial, and corporate reporting, and create dashboards and reports for different teams. They will also conduct root cause analyses and identify trends using time-series and transactional data.