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Lead Data Support Analyst

TEEMA Solutions Group

Toronto

Hybrid

CAD 90,000 - 120,000

Full time

Today
Be an early applicant

Job summary

A leading financial services firm in Toronto is seeking a Lead Data Support Analyst. This hybrid role requires expertise in Snowflake and strong leadership skills to ensure the reliability of data operations. The successful candidate will lead a team of analysts, troubleshoot data issues, and automate support processes. Preferred background in financial services with over 5 years of experience in data analytics and platform support.

Qualifications

  • 5+ years in data analytics or platform support with leadership experience.
  • Strong skills in Snowflake, SQL, and modern data ecosystems.
  • Experience with BI tools like Sigma, Tableau, or Power BI.

Responsibilities

  • Lead and mentor a team managing support tickets and data issues.
  • Troubleshoot data load failures and access issues across Snowflake.
  • Monitor daily data operations to ensure smooth reporting.

Skills

Data analytics
Team leadership
Snowflake
SQL
Problem-solving

Education

Degree in Computer Science

Tools

Snowflake
Sigma
Tableau
Power BI
Jira
Confluence
ServiceNow
Job description
Overview

Job Title: Lead Data Support Analyst

Location: Toronto, ON (Hybrid)

Department: Wealth Technologies

We are interviewing for our client seeking a Lead Data Support Analyst to oversee and directly contribute to the daily reliability and performance of its enterprise data and reporting ecosystem. This hybrid role blends hands-on technical troubleshooting with team leadership responsibilities.

The successful candidate will lead a team of analysts supporting critical data workflows and serve as a key liaison between business stakeholders, data engineering, and reporting teams. This role requires deep technical expertise, strong leadership skills, and the ability to diagnose and resolve complex data issues efficiently — ensuring the client’s reporting platforms remain accurate, trusted, and continuously available. Background in financial services preferred. Our client utilizes Snowflake as its primary data warehouse and Sigma as the reporting platform. This role leads a team of data support analysts, ensuring the reliability, accuracy, and smooth operation of data and reporting systems.

Key Responsibilities
  • Lead and mentor a team managing support tickets, data issues, and platform concerns
  • Troubleshoot and resolve data load failures, access issues, and reporting anomalies across Snowflake, Sigma, and related tools
  • Monitor daily data operations and ensure scheduled pipelines and reports run smoothly
  • Act as the primary escalation point for complex or high-impact data issues
  • Collaborate with reporting analysts and business users to ensure data accuracy and consistency
  • Work with data engineering to resolve root causes of recurring issues and implement long-term solutions
  • Maintain documentation, runbooks, and dashboards to track support activity and performance
  • Identify opportunities to improve support processes through automation and better monitoring
Qualifications
  • 5+ years of experience in data analytics, operations, or platform support (including 2+ years in a leadership role)
  • Strong hands-on skills in Snowflake, SQL, and modern data ecosystems
  • Experience with Sigma or other BI tools (e.g., Tableau, Power BI)
  • Proven ability to lead teams, resolve technical issues, and communicate with stakeholders across departments
  • Proven experience with support tools like Jira, Confluence, or ServiceNow
  • Degree in Computer Science, Information Systems, or a related field
  • Solid understanding of incident response and root cause analysis
Screening Questions
  1. Describe a time you resolved a critical data pipeline or reporting failure. What tools did you use and how did you troubleshoot it?
  2. What hands-on experience do you have with Snowflake and reporting tools like Sigma, Tableau, or Power BI?
  3. How do you lead and prioritize during a high-impact data issue involving multiple teams?
  4. Give an example of how you improved or automated a support process in your last 2 jobs?

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