Data Analyst

LanceSoft Inc; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A financial analytics provider in Ontario is looking for a data analyst with extensive experience in data analysis, visualization, and reporting. The successful candidate will work with credit card and unsecured lending performance data to build dashboards and analytical insights. Candidates must have a strong foundation in SAS, SQL, and Python, with a Bachelor’s degree in a relevant field. This hybrid role involves working onsite 3–4 days a week as needed and requires a minimum of 8 years of analytical experience.

Qualifications

• 8+ years’ experience in data analysis, visualization, and reporting.
• 5+ years’ experience with large datasets using SAS, SQL, Python.
• Experience with Power BI and Excel for visualization and reporting.

Responsibilities

• Work with credit card and unsecured line of credit performance and application data.
• Build and enhance dashboards, recurring reports, and analytical insights.
• Support business-as-usual activities and hiring manager’s portfolio.

Skills

Data analysis

Data visualization

Reporting

SAS

SQL

Python

Power BI

Excel

Education

Bachelor’s in relevant field

Tools

SQL

Python

SAS

Power BI

Tableau

Job description

Location & Schedule

Location Address: Hybrid - 3 days/week (Monday, Wednesday, Thursday), may increase to 4

Subject to change: 3–4 days onsite may be required based on business needs

Contract Duration: 6 months

Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week

Reason: Additional resource support for analytical need.

Story Behind the Need

Business group: Unsecured Lending — responsible for the credit strategy for credit cards, including origination and account‑management strategies. The team has 18 members and is in the process of expanding to approximately 20 through the hiring of 3 full‑time roles and 1 contractor.

Project: No single project focus. This role supports business‑as‑usual (BAU) activities and the Hiring Manager’s portfolio by working with credit card and unsecured line of credit (ULOC) performance and application data.

Candidate Value Proposition

The successful candidate will gain meaningful exposure to the unsecured lending and credit domain. Join a high‑performing, purpose‑driven analytics team shaping Canada’s retail unsecured lending strategy. Work directly with real credit card and ULOC performance data. Build and enhance dashboards, recurring reports, and analytical insights used by business and risk leaders. Grow into ownership of defined reporting or strategy components. Use modern analytics tooling including SQL, Python, SAS, Power BI/Tableau, and risk analytics frameworks.

Candidate Requirements / Must Have Skills

1. 8+ years’ experience in data analysis, visualization and reporting
2. 5+ years’ experience with large datasets using SAS, SQL, Python
3. Experience with data visualization & reporting tools: Power BI, Excel

Nice‑To‑Have Skills

• Retail credit risk knowledge, especially credit cards and ULOC
• Experience with consumer credit performance data & risk metrics
• Experience working in financial services analytics environments

Soft Skills Required

• Strong attention to detail with ability to manage multiple priorities
• Strong analytical skills

Education

Bachelor’s in relevant field

Best VS. Average Candidate

The ideal candidate demonstrates strong analytical skills using SAS and SQL, combined with familiarity in credit risk data and the capability to turn data into meaningful insights. Experience with retail banking products—especially credit cards and ULOC—will significantly differentiate top candidates.

Candidate Review & Selection – Interview Process

1–2 rounds, in person at 44 King Street. Approximately 1 hour per round. Interviews with Hiring Manager, two Directors, and potentially a VP. Includes technical skill assessment and a short live case study. Candidate will be given material and asked to walk through their solution approach.

Hiring Manager’s Availability to Interview

Wednesday Feb 18th, Thursday Feb 19th, Monday Feb 23rd