BI Specialist
Typical Day in Role:
• Collaborate with stakeholders to develop BI solutions to address operational needs
• Combine multiple data sources across all contact center platforms and applications to build end-to-end BI products
• Define metrics / KPIs and develop customer insights models
• Assist MIS & Data Analytics team with architecture and infrastructure design/development
• Apply analytics tooling, scripts, and methodologies to find actionable insights, build operations models & frameworks, and provide strategic recommendations
• Develop ETLs for analytics solutions using Python, Spark, SQL and Power BI
• Produce ad hoc analyses, deep dives, and drill-downs on specific issues, topics, or areas of opportunity (e.g. process improvements)
• Prepare reports and presentations to communicate findings to stakeholders
• Assist in coaching/developing / up-skilling peers and direct reports for advanced analytics
• Streamline, enhance and automate existing products to create capacity for the team to develop new solutions
Candidate Requirements/Must Have Skills:
• 5+ years of business intelligence, analytics, data science and development skills
• 5+ years of reporting, UI design, and BI solutions
• 5+ years using Python for data analysis and analytics (Pandas, Dask, Numpy, etc..)
• 5+ years using SQL for ETL extract transform and load and data analysis, flexibility on syntax (SQL server, PostgreSQL)
•5+ years of experience in Power BI, Tableau, or any other visualization software
Nice-To-Have Skills:
• Experience with cloud architecture (Azure, AWS, GCP) an asset
• Contact center experience an asset
• Experience with telephony data (Avaya, Genesys) and WFM data (Verint, Aspect) an asset
• Experience with Docker, CI/CD tools, and Airflow and Kubernetes an asset
Soft Skills Required:
• Communication skills
• Organization skills
• Time management skills
• Team Player
• Fast learner and taking initiative of own training speed
• Positive Attitude
Best VS. Average Candidate:
The best candidate will have strong data visualization skills and be detail-oriented.
Education & Certificates:
University degree in science, computer science, math, statistics, finance, economics, or another quantitative field, or equivalent experience