DSS Data Analyst 2

The Opportunity:

The Data Analyst 2 supports the development, maintenance, analysis, and monitoring of data and reporting solutions across the COR.IQ product portfolio. This role supports the Data Analyst 3 to ensure the accuracy, integrity, and timely delivery of operational and client reporting while also supporting investigations, analytics initiatives, onboarding activities, and reporting enhancements. The position develops expertise in product data, reporting systems, fraud analytics, and operational processes, while contributing to continuous improvement and supporting the Data Analyst 3 in maintaining reporting and analytics operations.

Grade: 16

The Data Analyst 2 works closely with the Data Analyst 3, who provides operational guidance, mentorship, knowledge transfer, and day-to-day prioritization of reporting and analytics activities. The role serves as the primary backup to the Data Analyst 3 and is expected to progressively develop the skills and knowledge required to assume broader responsibilities over time.

This is a hybrid role with requirements to be on site 1 day a week, providing a balance between remote flexibility and in-person collaboration.

About The Role:

Support reporting production and reporting operations to ensure accurate and timely delivery of client and internal reporting.

Develop and maintain SQL/Qlik queries and data extracts for reporting extracts, other reporting scripts, analytics solutions, and reporting enhancements, with guidance on complex changes, to improve operational efficiency and product insights.

Investigate data quality issues and operational anomalies to support reliable product performance and customer outcomes.

Support onboarding, product operations, and client requests to ensure successful implementation and ongoing effectiveness of DSS products.

Develop subject matter expertise and operational readiness to provide backup coverage and succession support for the Data Analyst 3 role.

What You Need to Succeed:

Education:

Bachelor's degree in one of the following: Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics & Related discipline; Additional training in analytics, databases, business intelligence, Python, SQL, or reporting platforms (Qlik, Power BI) would be considered a strong asset.

Experience:

3-5 years in Data Analytics, Data Science, Business Intelligence, Reporting and Performance Analytics.

Proficiency in SQL, Python, Excel, MS Power BI, PostgreSQL, Qlik Sense, and Qlik NPrinting considered strong assets.

Strong problem-solving and investigation experience.

Skill requirements

SQL and database-querying skills.

Experience with reporting and business intelligence platforms (Qlik Sense, Power BI, Tableau, or equivalent).

Advanced Microsoft Excel skills.

Understanding of ETL and data-processing concepts.

Ability to understand and modify scripting and reporting logic.

Basic Python or similar programming language experience would be considered an asset.

Strong problem-solving and investigation skills.

Ability to identify trends, patterns, anomalies, and root causes.

Strong attention to detail.

Ability to work with large data sets.

Strong written and verbal communication skills.

Ability to explain analytical findings to technical and non-technical audiences.

Ability to prepare presentations, reports, and documentation.

Curiosity and willingness to learn.

Strong customer-service orientation.

Self-motivated and accountable.

Collaborative team player.

Ability to manage multiple priorities and deadlines.