Senior Data Analyst

Swoon; Toronto; Hybrid; CAD 80,000; Full time

Job summary

A leading company offers a contract position as a Senior Data Analyst in Toronto with hybrid work arrangements. The role involves providing insights and analytics solutions while working with various stakeholders. Candidates should have at least 5 years of experience in data analytics and a degree in a related field.

Qualifications

• 5+ years of experience in data analytics or business intelligence.
• Degree in Statistics, Data Analytics, or related discipline preferred.
• Strong expertise in SQL, SAS, R, Python, Power BI.

Responsibilities

• Provide analytical insights and data-driven recommendations.
• Design and implement advanced analytics and reporting solutions.
• Develop dashboards and visualizations to communicate insights.

Skills

SQL

SAS (certified)

R

Python

Power BI

PowerPoint

Data preparation

Data analysis

Data visualization

Problem-solving

Analytical skills

Decision-making

A/B testing

Data mining

Storytelling

Education

Degree in Statistics

Degree in Data Analytics

Job description

This range is provided by Swoon. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$80,000.00/yr - CA$80,000.00/yr

Senior Data Analyst

Duration: 12 months (Potential for extension or full-time conversion)

Location: Toronto– Hybrid (2 days in-office; Mondays/Wednesdays preferred)

Key Responsibilities

• Serve as a trusted advisor to the business group, providing analytical insights and data-driven recommendations.
• Design, develop, and implement advanced analytics and reporting solutions.
• Identify emerging trends and issues to inform strategic decision-making.
• Ensure alignment between business objectives and data needs.
• Develop dashboards, reports, and visualizations to communicate insights effectively.
• Structure, clean, and transform data for modeling, validation, and reporting purposes.
• Automate validation processes to enhance efficiency and accuracy.
• Monitor and track analytics tool performance, addressing issues as needed.
• Support strategic analytics initiatives in collaboration with internal and external stakeholders.

Required Skills & Experience

• 5+ years of experience in data analytics, business intelligence, or a related field.
• Degree in Statistics, Data Analytics, or a related discipline (preferred).
• Strong expertise in SQL, SAS (certified), R, Python, Power BI, and PowerPoint.
• Advanced product knowledge of home financing, HELOCs, and mortgages (banking experience preferred).
• Proficiency in data preparation, analysis, and visualization techniques.
• Strong problem-solving, analytical, and decision-making skills.
• Experience with A/B testing, treatment control frameworks, data mining, and storytelling.

Interview Process

• First Round – 90-minute in-person interview/technical assessment with Hiring Manager & Senior Team Member.
• Second Round – 30-minute in-person interview with Hiring Manager’s superior.
• Includes behavioral, situational, and technical assessments

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology and Analyst

• Industries

  Banking

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