Data Analyst

MUST :: We are looking for a Data Analyst with core experience in T24/Temenos

Position: Data Analyst – Data Platforms

Location: Remote / PST Hours

Contract: 12+ Months

Mandate

The Data Analyst within the Data & AI Platform team is responsible for transforming data into actionable insights that accelerate the adoption of data-driven and AI-enabled decision-making across the enterprise. The role contributes to the delivery of high-quality, trusted data assets and analytics capabilities within client modern Data & AI Platform.

Key Accountabilities

• Deliver trusted insights: Design, develop, and maintain analytical solutions and dashboards that enable stakeholders to make informed business decisions aligned with enterprise priorities.
• Partner across teams: Collaborate with business units, data engineers, and data scientists to ensure analytical outputs are accurate, timely, and based on governed data.
• Support platform enablement: Contribute to building and enhancing reusable data models, metrics, and analytics pipelines within the data platform ecosystem (e.g., Databricks, Power BI, Purview).
• Ensure data quality and compliance: Validate and profile data to maintain accuracy, completeness, and consistency with governance standards.
• Provide advisory support: Offer guidance to business users on leveraging platform data and analytics capabilities to meet strategic and operational needs.
• Drive continuous improvement: Identify opportunities for automation, efficiency, and standardization in analytics delivery.

Qualifications

Education & Experience

• Bachelor’s degree in data Analytics, Computer Science, Economics, Statistics, or a related field.
• 3–5 years of experience in data analytics, business intelligence, or data platform environments (preferably within financial services).

Technical Skills

• Advanced proficiency with SQL and data transformation techniques.
• Experience with visualization tools such as Power BI or Tableau.
• Familiarity with cloud data platforms (e.g., Databricks, Azure Synapse, or Snowflake).
• Understanding of data governance concepts and tools (e.g., Microsoft Purview, Unity Catalog).
• Working knowledge of Python, R, or equivalent for data analysis is an asset.

Core Competencies

• Strong analytical and problem-solving skills with the ability to interpret complex datasets.
• Excellent communication and stakeholder management skills to translate technical outputs into business insights.
• Solid business acumen and understanding of financial or credit union operations.
• Ability to collaborate in cross-functional teams and thrive in a data-driven culture.

Outcomes

• High-quality, reusable data assets powering analytics and AI initiatives.
• Faster insight generation and decision-making across business units.
• Improved adoption of governed, self-serve analytics capabilities.