Data Analyst III Duration – 6 months Location – Downtown Toronto DEPT. OVERVIEW: The Marketing Analytics & Insights team mission is to be influential change agents and consumer advocates to help deliver the better bank and to drive shareholder return through optimizing the impact of marketing. We do this by delivering hindsight (what happened), insight (why), and foresight (future actions) on how to best reach consumers, who to target, what to say, and build intelligence on the market and competitive landscape. The group seeks to deliver excellence in analytics and insights to support short-term business success as well as long-term strategy of the bank. The Marketing Analytics & Insights team brings together a diverse range of technical and business expertise including market research, business analytics, data science and modelling, business intelligence, data strategy and governance, data management, campaign targeting and delivery, and visualization. GENERAL PROFILE: Provide business technical leadership across a broad range of information management functions to support the various areas of data and analytics. Works independently as a senior lead and may manage and direct activities related to analysis, design and support of business data management solutions on various projects ranging up to larger projects. a) Customer: •Analyze and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models) and business rules, data lifecycle management, governance, lineage, metadata and reporting elements. •Apply automation and innovation on data platforms and on-going on any new development projects / initiatives aligned to business or organizational strategies •Design and implement complex business data information management frameworks to provide a solution that meets business requirements •Collaborate with technology and business partners to resolve issues and ensure requirements and established SLAs •Work closely with various technology/project teams to understand business data and provide analysis and requirements to ensure the data design / development initiatives are in line with the planned design and standards b) Shareholder: •Work with other various partners/ stakeholders to ensure project success •Develop business requirements by researching / analyzing and documenting business data requirements •Implement processes aligned to data information management standards and ensure data quality and requirements are developed •Develop and maintain knowledge of data available from upstream sources and data within various platforms •May be responsible to understand and utilize business information management data deliverables •Perform data profiling using TD tooling and ad hoc system query languages to validate data analysis •Provide support throughout data lifecycle to resolve data issues and support user community by helping users interpret the data •Identify and/or define knowledge transfer and data expertise activities to support business teams using the information management solutions. •Adhere to enterprise frameworks or methodologies that relate to data activities for business area •Ensure business operations are in compliance with applicable internal and external requirements ( e.g. financial controls, segregation of duties, transaction approvals and physical control of assets) •Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations •Conduct meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices •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 MUST HAVE: 1. Experience as a Data Analyst – 5 years 2. SQL – 5 years 3. Strong communication skills 4. SAS – 5 years Nice to have skills: 1. Financial/banking background 2. DI studio (SAS data integration studio) can be deal breaker 3. Hadoop, hive, hql, 4. Java script and pega
Qualification	Rating
Must Have
Short-listing Questions
Has your candidate worked at TD as a Full Time employee?	No
Skills
Communication Skills – Please Provide Rating – 1 to 5 (excellent)
Data Analyst	5 years
Experience in SAS	5 years
SQL Experience	5 years
Nice to Have
Short-listing Questions
Former TD experience	No
Skills
DI studio (SAS data integration studio)	1 years
Experience with big data like Hadoop, Hives, HQL, Spark	1 years
Financial/Banking Industry	1 years
JavaScript	1 years
PEGA	1 years