Data Systems Analyst

Overview

Data Systems Analyst Jobs in Markham, Ontario, Canada at Yochana

Title: Data Systems Analyst

Company: Yochana

Location: Markham, Ontario, Canada

Position Name – Data Systems Analyst

Type of hiring – Fulltime

Location – Markham, ON (Mandatorily need to visit office 3 days – Mon/Tue/Wed)

NOTE: First round will be Virtual and 2nd customer round will be in-person please inform candidates.

Candidate needs to be onsite Mon/Tue/Wed (this is mandatory)

Top Capability skills required

1. Very strong SQL background
2. Strong knowledge on Data Warehousing especially on DataLake house
3. Background on Insurance knowledge such as Billing, Policy, Claims etc.

Job Description:

Role Overview: This role will be part of and a member of our Information Technology Data Delivery Group. You will be responsible for creating the center of excellence for the data ecosystem artifacts creation, maintenance, and project requirements in a high-performing, and experienced team. You'll be required to apply your depth of knowledge and expertise to all many areas including requirements, infrastructure, and solution documentations.

What you’ll do

• Claims & Policy Data Analysis
• Analyze structured and semi-structured data related to claims, policies, underwriting, and customer interactions.
• Identify patterns in claims frequency, fraud indicators, and loss ratios using lakehouse datasets.
• Support actuarial teams with data extracts and trend analysis.
• Customer & Risk Insights
• Segment customers based on behavior, risk profiles, and product usage.
• Analyze customer lifetime value, churn risk, and cross-sell/up-sell opportunities.
• Collaborate with risk and compliance teams to monitor exposure and regulatory thresholds.
• Regulatory & Compliance Reporting
• Prepare data extracts and reports for regulatory bodies (e.g., OSFI, FSRA, NAIC).
• Ensure data lineage and traceability for audit and compliance purposes.
• Validate data accuracy and completeness for filings and disclosures.
• Data Wrangling & Preparation
• Clean and transform raw data from diverse sources (e.g., policy admin systems, CRM, claims systems) into analytics-ready formats.
• Leverage lakehouse tools (e.g., Delta Lake, Apache Iceberg) to manage versioned and time-travel datasets.
• Collaborate with data engineers to ensure efficient ETL/ELT processes.
• Business Intelligence & Visualization
• Build dashboards and visualizations for underwriting, claims, finance, and product teams.
• Use tools like Power BI, Tableau, or Qlik to present insights from lakehouse data.
• Enable self-service analytics by creating reusable datasets and semantic layers.
• Data Quality & Governance
• Profile and validate data to ensure consistency across policy, claims, and financial domains.
• Tag and catalog datasets using metadata tools (e.g., Unity Catalog, Collibra).
• Support master data management and reference data initiatives.
• Collaboration & Stakeholder Engagement
• Work with actuaries, underwriters, product managers, and IT teams to understand data needs.
• Translate business questions into analytical queries and data models.
• Document business logic, assumptions, and data definitions clearly.
• Predictive & Advanced Analytics Support
• Assist data scientists with feature engineering and exploratory data analysis.
• Provide historical data extracts for model training and validation.
• Interpret model outputs and integrate them into business reporting.

What you’ll bring

• University Degree in Computer Engineering or Computer Science.
• Minimum 5 Years of experience successfully leading Data Systems Analysis organizations with expertise in building large-scale enterprise data assets.
• 8+ Years of experience as a Business Analyst working on mid-large projects for data design, development, and implementation of business-critical enterprise data systems.
• Solid grasp/experience with data technologies & tools (Snowflake, Hadoop, PostgreSQL, Informatica, etc.,)
• Outstanding knowledge and experience in ETL with Informatica product suite.
• Experience establishing documentation standards frameworks for data quality, data governance, stewardship and metadata management.
• Ability to foundationally understand complex business process driving technical systems.
• Strong leadership and influencing skills at the senior management level.
• Strong analytical, critical thinking and problem-solving skills.
• Strong stakeholder management.
• Solid understanding of Project and Program Management processes.
• Excellent verbal and written communication skills.
• Insurance knowledge an asset.