Data analyst

Croesus Laval Canada IT
Warning! Vacancy expired

Company Description

What if you had the opportunity to participate in the daily life of a company with the dynamism and ambition of a "startup", while being a fintech leader in Canada? Here is your chance to integrate a medium-sized environment with the advantages of a large company.

With 180 passionate employees, Croesus is a master in the art of software development for portfolio management in the financial and banking sectors. We offer a very friendly work environment thanks to welcoming colleagues, but also with a variety of little extras that make Croesus an employer of choice. Here are some examples: flexible hours, BBQ dinner, gym, massage therapy, breakfasts, in addition to a host of team activities.

Position

Tasks and responsibilities:

Know the Croesus database model: the nature of the data, their use and their influence; master the data analysis tools via the user interface, SQL queries, etc .;

Master the configuration of the different Croesus modules / components;

Act as a data specialist in client projects;

Prepare and analyze data analysis reports;

Perform tests and validation of team deliverables;

To be able to represent Croesus with clients (understand the mandate, determine the stages and processes, explain them, etc.);

Train and inform internal resources and customers on the various stages necessary for the realization of the project;

Act quickly on any situation during project implementation;

Participate in customer support during test phases (UAT) with customers;

Participate in deployments and production releases;

Be part of an agile team in a DevOps context and actively participate in all team ceremonies: refining, scrums, planning, retrospective and demonstrations.

Requirements

DEC in computer science or a BAC in a related field;

Three years of experience in data manipulation (databases and / or data warehouses)

Have experience in data analysis and software configuration

Other information

Skills sought:

Rigor and thoroughness are highly sought-after qualities for this position because of the sensitivity of the data handled.

Ability to orient the client;

Ability to solve problems.

Ability to work in a multidisciplinary team.