Data Associate

Job Description

• Perform data analysis and assist in assessing data management requirements for a specific Platform or Journey.
• Articulate technical design and development details to non-technical business partners
• Maintain foundational knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata
• Support the acquisition and ingestion of data
• Elicit, analyze, and understand business and data requirements to develop complete business solutions under the guidance of senior peers and managers, including data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life‑cycle management, governance, lineage, and metadata
• Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines
• Develop and maintain ETL jobs using the Bank's standard tools under the guidance of senior peers and managers
• Provide support to the development and testing teams to resolve data issues
• Support partners and stakeholders in interpreting and analyzing data
• Build effective working relationships to collaborate with peers and partners on personal deliverables
• Provide data governance and availability support
• Contribute to various operational activities and processes as assigned
• Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escape issues where appropriate
• Be knowledgeable of practices and procedures within own area of responsibility and keep abreast of emerging trends for own functional area
• Protect the interests of the organization – identify and manage risks, and escape non‑standard, high risk activities as necessary
• Conduct internal and external research projects; support the development / delivery of presentations / communications to management or broader audience
• Conduct reporting and / or meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices
• Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exists
• Acquire and apply expertise in the discipline, provide guidance, assistance and direction to others
• Identify, recommend and effectively execute standard practices applicable to the discipline
• Adhere to internal policies/procedures and applicable regulatory guidelines
• Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
• May lead work streams by acting as a project lead / subject matter expert for small scale projects / initiatives in accordance with project management methodologies
• Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
• Support the team by continuously enhancing knowledge / expertise in own area and participate in knowledge transfer within the team and business unit
• Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques
• Participate in personal performance management and development activities, including cross training within own team
• Keep others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities
• Contribute to the success of the team by willingly assisting others in the completion and performance of work activities; provide training, coaching and/or guidance as appropriate.
• Contribute to a fair, positive and equitable environment that supports a diverse workforce
• Act as a brand ambassador for your business area/function and the bank, both internally and/or externally
• Basic working knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures
• Proficiency in SQL
• Proficiency in Python
• 1+ years of relevant work…