Data Analyst -1

Kastech Software Solutions Group; Toronto; On-site; CAD 60,000 - 80,000; Full time

Job summary

A technology solutions company in Toronto is seeking a Data Analyst I to build frameworks for analysis that inform operational decisions. The ideal candidate will have 1-2 years of experience in analytics and be proficient in SQL as well as data visualization tools. Responsibilities include collaborating with teams, creating reports, and optimizing processes while ensuring efficient data utilization.

Qualifications

• 1-2 years in analytics, business intelligence, data engineering, or a related role.

Responsibilities

• Develop frameworks for analyzing data to support operational decisions.
• Collaborate with various teams to gather, document, and interpret business data.
• Identify opportunities to optimize processes and operations.
• Create and maintain reports that provide actionable insights to stakeholders.
• Work independently with stakeholders to determine and align on analytic priorities.
• Build and maintain self-service data tools for stakeholders to monitor business performance.
• Recommend and implement strategies to optimize queries and dashboards.
• Collaborate to improve metrics evaluation tools and processes.
• Measure the impact, efficiency, and ROI of new initiatives or changes.
• Recommend improvements to data infrastructure.

Skills

Proficiency in SQL

Experience with data visualization tools (e.g., Tableau, Looker Studio, Google Sheets)

Ability to extract insights from data and summarize findings for a non-technical audience

Job description

About the Role

As a Data Analyst I, you will be responsible for building frameworks for analysis that inform company-wide decisions related to operations, processes, and optimization. You will collaborate across teams to document and interpret business data, ensuring that Uber's operations run smoothly and efficiently.

Responsibilities

• Analysis Framework: Develop frameworks for analyzing data to support operational decisions.
• Data Documentation: Collaborate with various teams to gather, document, and interpret business data.
• Optimization: Identify opportunities to optimize processes and operations.
• Reporting: Create and maintain reports that provide actionable insights to stakeholders.
• Stakeholder Engagement: Work independently with stakeholders to determine and align on analytic priorities.
• Data Tools: Build and maintain self-service data tools for stakeholders to monitor business performance.
• Query Optimization: Recommend and implement strategies to optimize queries and dashboards.
• Metrics and Tools Improvement: Collaborate with program, operations, data science, and product teams to improve metrics evaluation tools and processes.
• ROI Measurement: Measure the impact, efficiency, and ROI of new initiatives or changes in existing processes.
• Data Infrastructure: Recommend improvements to data infrastructure to enhance analytics efficiency and impact.

Basic Qualifications

• Experience: 1-2 years in analytics, business intelligence, data engineering, or a related role.

Skills

• Proficiency in SQL
• Experience with data visualization tools (e.g., Tableau, Looker Studio, Google Sheets).
• Ability to extract insights from data and summarize findings for a non-technical audience.