AddressThe Data Analyst will be part of a multi-disciplinary team whose objective is to generate insight from existing operational and technical data sets, as well as develop tools and use advanced analytics to extract the maximum value from them.
As a data analyst, you’ll actively contribute at designing, and developing data solutions that meet the need of operations and end users. Those solutions will improve and streamline operational processes, gain insight from large structured and unstructured data sources, and increase profitability of the business.
You’ll be collaborating with the other members of the data solutions team (data scientist, solution engineer, subjects matters experts) as well as other disciplines within the company in order too make certain requirements are met, standards are upheld, all testing is performed, and appropriate technical documents are created for the created and implemented solutions.
Specifically, you will have to:
- Design optimized data model from various data sources;
- Extract or coordinate extraction of data from existing data storages (Structure, semi-structured and unstructured) to a Cloud storage environment (DBMS);
- Respect Quality Assurance strategy (functional, code testing, debugging);
- Develop technical documents to accurately represent application design;
- Match visual design intent for the applications’ visual interfaces ;
- All other ad hoc duties as requested.
- Bachelor’s Degree in Computer Science (engineering) or Data Science;
- 5+ years’ working experience;
- Experience with Agile development methodologies (DevOps, Scrum, DataOps)
- Knowledge of visualization technologies (Power Bi, Tableau);
- Experience with Data Analysis language (SQL, Python)
- Demonstrated knowledge on Data Science Cloud infrastructure environments available within the Microsoft Azure suite (Synapse, Databricks, Event Hubs and Azure Data Factory);
- Ability to effectively communicate in French and English (oral and written);
- Adept at queries, report writing and presenting findings;
- Availability and interest in travelling to the Company's project and operational sites.
- Ability to work independently and multi-task effectively;
- Excellent interpersonal skills and ability to work in a team;
- Confidence in dealing with technical and non-technical senior level staff;
- Data-oriented personality, great communication skills, and an excellent eye for details.
- Work Schedule: 40 hours per week, from Monday to Friday with possibility of a 5-2 4-3 schedule;
- Workplace: Possibility of working from home. When your presence is required, you can travel to our offices closest to your residence, either in Rouyn-Noranda, Val-d’Or, Mirabel or Toronto.
