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Data Analyst

4 months ago


Dieppe, Canada Universal Truck and Trailer Full time

DATA ANALYST

Universal Truck and Trailer is Atlantic Canada's largest heavy duty truck and trailer dealership featuring the most up-to-date dealer service bays in Southern New Brunswick.

We are an authorized sales, service, parts & warranty dealership for premium products Freightliner, Western Star, and Manac trailers. In addition, we service most makes and models for class 6, 7 and 8 vehicles, including luxury class RV's.

We focus on exceeding customer requirements through continuously developing our team and building technical capabilities.

Duties and Responsibilities:

- Responsible for full data analysis projects, including extracting data from various sources, including SQL databases, preparing the data (data cleaning and the union/joining of various data sources), data integrity check (including the detection of outliers), feature engineering, modeling of the data, and finally visualizing and presenting insights
- Develop and implement descriptive, predictive & prescriptive models
- Partner with leaders from within the businesses to provide insights to potential business problems and opportunities
- Explore and characterize data available to business units/teams
- Clearly present data findings and insights to the business, translating technical information into understandable, non-technical language.

Qualifications:

- Undergraduate degree or diploma in Computer Science, Engineering, Mathematics/Statistics, Business/Commerce or a related discipline.
- 2-5 years of related work experience in the development of predictive/prescriptive models, design of algorithmic solutions, use of predictive tools, and relational databases.
- Experience working with Tableau or other data visualization and analytics tools like: Minitab, SPSS, Alteryx, or Power BI.
- Proven track record of innovation, ingenuity, attention to detail, ownership and willingness to seek and take on challenges.
- Excellent communication skills to enable complex data driven insights to non-technical audiences. Strong data visualization techniques and presentation skills.

Additional Information
- Posting Date: May 23, 2024