Data Specialist – 12M Contract – HYBRID $55/hr (1742)

Full Time
  • Full Time
  • Toronto

freelance.ca


NOTE: Hybrid Work Model, office located in Toronto.

Work 2 days/week in office.
Status: 12-Month Contract, 8-hour work day, 40 hours/weekWork Experience: 3+ years data analyst, Python, SQL, Snowflake, Spark, Databricks, Power BI, Tableau, LLM, Gen-AI, Azure, AWS, GCPIndustry: Bank, FinanceInterview Process: 2 in-person interviews in the Toronto office.DESCRIPTION: Overview:The Data Specialist will report to the Data Analytics Manager; she/he will work closely with various investments and corporate teams on analytics to support decision-making

  • Support the team in delivering key reports, insights and visualizations per priorities set by the business 
  • Working closely with team, analyze and interpret complex sets of data. 
  • Develop data pipeline to capture data from multiple sources/formats. 
  • Perform data preparation and data modelling to enable easy consumption for reporting purposes. 
  • Implement well-designed, scalable, and automated reports using current and emerging technology. 
  • Visualize data and metrics to produce insightful reports by following design standard. 
  • Identify and provide recommendations for improvements in our data analytics practices. 
  • Participate in status meetings; report and communicate on status as appropriate. 
  • Opportunity to experiment with Large Language Model, assist and develop predictive analysis, and/or Gen-AI applications. 
  • Contribute to the design and implementation of various data foundations and architecture to support long-term analytical needs 
  • Be able to research independently for potential solutions to problems encountered in programming 
  • Stay updated with technological trends and direction; continuously upgrading personal, technical, and IT-related skills. 
  • Utilize innovative approaches to identify, analyze, and solve complex data challenges, ensuring efficient and effective outcomes 
  • Translate complex technical information into clear, concise insights for non-technical stakeholders, enabling informed decision-making across the organization 
  • Other duties as required

  • REQUIREMENTS:

  • Bachelor’s or master’s degree in quantitative domains: Mathematics, Statistics, Computer Science, or Engineering. 
  • Minor or advanced degree in Finance is an asset. 
  • 3+ years’ experience in business-oriented data analytics
  • Passion for data analysis and problem-solving to support investment decision-making 
  • Self-motivated, ability to do independent research 
  • Strong communication skills, ability to articulate thoughts / ideas to effectively collaborate with a variety of teams from both investments and technology 
  • Desire to work in a team-based and collaborative environment 
  • Strong programming skills (Python, SQL
  • Experience with data warehousing and big data technologies such as SQL Server, Snowflake, Spark, Databricks etc. 
  • Proficient with data visualization tools: PBI/Tableau etc. 
  • Knowledge of cloud platforms (e.g., Azure, AWS, GCP) and related services 
  • High degree of interest in investment and asset management.
  • Experience in industry or an academic setting of: 
  • Full cycle of analytics solution development 
  • Strong problem-solving skills 
  • Source

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