Data Analyst IV # 26-26051
- Markham, Ontario, Canada, Toronto, Ontario, Canada
- Remote
- Posted Oct 14, 2026
- 1 position
$50–$55 / hour
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- Employment type
- Contract
- Experience level
- Lead · 10+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Office presence
- 4 days per week
- Location requirements
- Country, Toronto, Ontario, Canada
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
Job summary
Own the delivery and lifecycle management of analytics products, gathering and prioritizing requirements, managing Agile backlogs, and coordinating with business, risk, technology, and data engineering stakeholders. Develop and maintain Power BI reporting and dashboards, SQL and Python analytics workflows, and cloud-based data solutions while supporting data quality, governance, automation, and adoption.
Job details
Work Model: (Currently Remote; Hybrid work arrangement expected 4 days onsite in the future) Duration: 6+ Month (Extension & Conversion possible) Additional Location: Markham, ON Position Overview We are seeking an experienced Senior Data Analyst / Product Owner to support the delivery and lifecycle management of data and analytics products within a Risk organization. This role combines hands-on data analytics and business intelligence expertise with product ownership, stakeholder management, and Agile delivery responsibilities. The successful candidate will work closely with business, risk, technology, and data engineering teams to translate business requirements into scalable analytics solutions, reporting capabilities, dashboards, and automation processes. The role requires a strong understanding of Power BI, SQL, Python, product backlog management, and enterprise data environments. Key Responsibilities Product Ownership & Business Analysis Own the delivery and enhancement of analytics and reporting products, aligning priorities with business objectives. Collaborate with business, risk, and technology stakeholders to define product requirements, roadmaps, and delivery plans. Lead requirements gathering, business discovery sessions, and process analysis to identify opportunities for improvement and automation. Translate business needs into epics, features, user stories, acceptance criteria, and prioritized product backlogs. Manage backlog prioritization, dependencies, delivery risks, and competing business requirements. Facilitate Agile ceremonies, including sprint planning, backlog refinement, reviews, and retrospectives. Define success metrics and communicate delivery progress, recommendations, and business outcomes to stakeholders. Support change management, training, and adoption of analytics products. Data Analytics & Business Intelligence Design, develop, enhance, and maintain interactive Power BI dashboards and reports for business and leadership stakeholders. Build and optimize data models, DAX measures, calculations, and Power Query transformations. Develop complex SQL queries, stored procedures, views, and data models to support reporting and analytics. Use Python to automate data processing, reconciliation, validation, and reporting workflows. Analyze large and complex datasets to identify trends, anomalies, and actionable business insights. Perform data quality checks, integrity assessments, and reconciliations to ensure accurate and reliable reporting. Develop reusable datasets, business rules, data mappings, process flows, and data dictionaries. Troubleshoot production issues and continuously improve reporting performance, automation, and data accessibility. Cloud Data Platforms & Governance Support enterprise data modernization initiatives using Microsoft Azure and cloud-based analytics technologies. Work with platforms and services such as Azure Data Factory, Azure SQL Database, Synapse Analytics, Databricks, Unity Catalog, and Azure Storage. Collaborate with data engineering teams on data ingestion, transformation, curation, and operationalization. Ensure analytics solutions adhere to enterprise data governance, security, and data management standards. Required Qualifications 8+ years of experience in data analytics, business intelligence, business analysis, product ownership, or related roles. Demonstrated experience combining Product Owner responsibilities with hands-on data analytics and BI development. Strong understanding of Agile methodologies and product management practices. Proven experience in requirements gathering, stakeholder engagement, backlog prioritization, and delivery planning. Advanced Power BI skills, including data modeling, DAX, Power Query, dashboard development, and performance optimization. Strong SQL skills and experience working with large, complex datasets. Proficiency in Python for data analysis and automation. Experience working with enterprise data environments and cloud-based analytics platforms. Ability to translate business requirements into practical data and reporting solutions. Strong documentation skills, including business requirements, process flows, user stories, and data specifications. Excellent communication, facilitation, presentation, analytical, and problem-solving skills. Ability to manage multiple priorities and work independently in a fast-paced environment. Preferred Qualifications Experience in financial services, banking, enterprise risk, credit risk, market risk, regulatory reporting, or governance reporting. Experience as a Product Owner, Product Manager, Senior Business Analyst, or Delivery Lead in an Agile environment. Knowledge of Azure Data Factory, Synapse Analytics, Databricks, Unity Catalog, and Azure-based data platforms. Familiarity with data governance, reference data, client hierarchies, and enterprise data management. Experience with Alteryx, Visio, Power Pivot, and advanced Excel. Experience preparing executive presentations, strategy documents, and leadership communications. Relevant certifications such as CSPO, SAFe Product Owner/Product Manager, or other Agile certifications are an asset. Additional Information The role involves regular collaboration with internal business and technology stakeholders. Candidates must be within commuting distance of the Toronto or Markham office to accommodate future return-to-office requirements. The position offers exposure to enterprise analytics, risk management, cloud data modernization, and strategic transformation initiatives. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.
What you’ll do
Own the delivery and lifecycle management of analytics products, gathering and prioritizing requirements, managing Agile backlogs, and coordinating with business, risk, technology, and data engineering stakeholders. Develop and maintain Power BI reporting and dashboards, SQL and Python analytics workflows, and cloud-based data solutions while supporting data quality, governance, automation, and adoption.
Requirements
Requires 8+ years of relevant experience, combining product ownership or business analysis with hands-on data analytics and BI development, plus strong Agile, stakeholder engagement, Power BI, SQL, and Python capabilities. Candidates should have experience with enterprise and cloud data environments, translate business needs into practical reporting solutions, and demonstrate strong documentation, communication, and problem-solving skills; financial services and Azure platform experience are preferred.
Listed skills
- Power BI · Preferred
- SQL · Preferred
- Data analysis · Preferred
- Requirements gathering · Preferred
- Stakeholder Management · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Power BI
- SQL
- Python
- Product Ownership
- Agile Methodologies
- Requirements Gathering
- Stakeholder Management
- Backlog Prioritization
- Data Modeling
- DAX
- Power Query
- Data Analysis
- Business Intelligence
- Azure Data Factory
- Synapse Analytics
- Databricks
Job areas
- Data & Analytics
- Technology
- Finance & Accounting
- Management & Leadership
- Software
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