Data Analytics Specialist
7 months ago
**Responsibilities**:
- Work closely with stakeholders to understand their analytics requirements and develop solutions to meet their specific needs.
- Conduct in-depth data analysis to identify trends, patterns, and anomalies, and translate findings into meaningful business insights.
- Design, develop, and implement analytical solutions and interactive dashboards to enable stakeholders to effectively understand and interpret data.
- Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data
- Develop, implement, and maintain robust business models and predictive analytics solutions to aid decision-making and drive business performance.
- Use predictive modeling techniques in logistics planning and optimization. Validate, test, and update these models to improve accuracy over time.
- Mine and analyze data from databases to drive optimization and improvement of product development, marketing techniques, and business strategies
- Use Descriptive analytics to analyze historic data
- Use Predictive Analytics to create algorisms based on the history to predict the future
**Skills and Qualifications**:
- Bachelor’s degree in Computer Science
- Minimum 3 years of experience using a variety of data tools, building and implementing models, using/creating algorithms, and creating/running simulations.
- Proficiency in Data warehouse tools such as; Snowflake, Matillion, Stitch or Fivetran
- Proficiency in data visualization tools, particularly Power BI and Tableau.Redshift, Azure and DBT - transformation tool are nice to have
- Experience with data warehousing/ETL processes and database management systems such as PostGres, MYSQL, SQL.
- Strong Experience in extracting, preparing, and analyzing large data sets (>100 million records)
**Salary**: $85,000.00-$92,000.00 per year
**Benefits**:
- Dental care
- Extended health care
- Life insurance
- On-site parking
- Paid time off
- Vision care
Flexible Language Requirement:
- French not required
Schedule:
- Monday to Friday
- Morning shift
Ability to commute/relocate:
- Mississauga, ON: reliably commute or plan to relocate before starting work (required)
**Experience**:
- Redshift or snowflake: 3 years (required)
- Azure: 2 years (preferred)
- Python: 3 years (preferred)
- data warehousing/ETL processes: 3 years (preferred)
- Must have car: 1 year (preferred)
Work Location: In person
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