12 days ago

Data Associate

TD

On Site
Full Time
CA$71,750
Toronto, ON

Job Overview

Job TitleData Associate
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered SalaryCA$71,750
LocationToronto, ON

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Job Description

Job Description

The Data Associate translates business requirements into technical solutions, supporting data analysis, and documenting data processes. This role involves collaboration on maintaining data assets, providing business context for data initiatives, and helping research new data usage methods. The Data Associate contributes to documenting business processes and supports production data activities when needed.

CUSTOMER

  • 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.

SHAREHOLDER

  • Contribute to various operational activities and processes as assigned.
  • Consistently exercise discretion in managing correspondence, information and all matters of confidentiality; escalate 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 escalate 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 exist.
  • 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.

EMPLOYEE / TEAM

  • 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.

Breadth & Depth

  • Basic working knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures.
  • Performs simple technical tasks independently.
  • Performs moderately complex technical tasks under general supervision.
  • Basic working knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards.
  • Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes.
  • Uses and evolves established patterns to solve routine problems; contributes to new patterns where necessary.
  • Generally reports to a Practice Lead.

Experience And / Or Education

  • Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience.
  • Knowledge on SQL, python.
  • Strong understanding of Programming concepts.
  • Ability to adapt and learn new concepts.

Key skills/competency

  • Data Analysis
  • Data Management
  • ETL Development
  • SQL
  • Python
  • Data Governance
  • Data Modeling
  • Business Requirements Gathering
  • Data Quality Assurance
  • Metadata Management

Tags:

Data Associate
data analysis
data management
business requirements
data modeling
ETL development
data governance
data quality
problem-solving
reporting
process improvement
SQL
Python
data engineering
ETL tools
metadata
data profiling
enterprise systems
data lifecycle management
data integration
analytics tools

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How to Get Hired at TD

  • Research TD's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight relevant experience in data analysis, ETL, SQL, and Python for banking roles.
  • Prepare for technical questions: Review SQL querying, Python scripting, and data modeling concepts thoroughly.
  • Show problem-solving skills: Be ready to discuss how you've resolved data-related challenges or improved processes.
  • Network with TD professionals: Connect on LinkedIn with current employees for insights into the company and role.

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