SEVIM AYDOGAN Toronto, ON 416-***-**** firstname.lastname@example.org
A designated Business Data Analyst Professional, managing overall analysis, design, and support of the reporting strategy; gathering, validating, and translating business requirements into cohesive, integrated designs and software development specification with excellent business acumen gained over 2 years assisting organizations in making sound financial decisions. Combines “big picture” thinking with strategy and execution that improves the bottom line.
Customer Risk Profiling
AML Data Governance & Oversight
Internal Controls & SSAE 16 Policy
Technology Model Valuation
Excellent understanding of software development life cycle (Waterfall & Agile)
Prior knowledge and experience in data mapping, designing project workflow and capital market products
Superior knowledge in Big Data Analytics – Oracle SQL Developer (Complex queries), Microsoft Word, Excel, Access, PowerPoint, and Visio, PMP, Tableau
Exposure to Big Data Technologies such as Hadoop, Apache Pig, Apache Scala
Experience in Lean Six Sigma, Define, Measure, Analyze, Improve, and Control (DMAIC) procedures, Root Cause Analysis, Design of Experiment, Hypothesis Testing, Regression Analysis, Control and Pareto Charts, Cause Effect Diagram, Value Stream Mapping etc.
An excellent written and verbal communicator, including senior executives
Analytical, problem solving, attentive to detail with an ability to look beyond the obvious and solve problems
SCOTIA BANK - Toronto, Canada May 2017 – October 2018
Canada’s international bank and a leading financial services provider in North America, Latin America, the Caribbean and Central America, and Asia-Pacific. Provides broad range of products and services as personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets with 88,000 employees and assets of $915 billion. Scotiabank trades on the Toronto (TSX: BNS) and New York Exchanges (NYSE: BNS).
Business Data Analyst GWRT
Mandate: Restructure AML data programs, data transactions, filtering systems and processes ensuring governance and oversight framework, compliance parameters and reporting requirements utilizing multiple AML Technology applications. Manage the oversight of multiple compliance systems and the certification and validation of multiple data lineage projects to ensure complete and accurate transfer of data and to enable an effective and compliant automated transaction monitoring and filtering systems within the Global Wealth Wholesale and Risk Technology.
•Conduct certification and data validation of the entire AML Technology data architecture / workflow diagram for Customers System, Product System, Payment System and Compliance System (56 Systems)
•Work with local and pertinent global technology teams to gather, analyse, and transfer business rules and technical data requirements to be efficiently used by development team during software development life-cycle
•Conduct gap analysis and prepare reports reflecting activities and data architecture; identify and aggregate variances where applicable
•Conduct data mapping, cleaning and manipulation to extract trends against regulatory dimensions – data accuracy, integrity, comprehensiveness, completeness and validity
• Support the enterprise data technology planning initiative, working with both business and technical team, internal stakeholders to remediate data quality issues, solution design, and integration of end to end AML Compliance solution including 3rd party vendors
•Guide Business and Information Technology on architectural data alternatives by articulating the implications of each alternative and communicate risks and risk mitigation options (business, application, infrastructure, integration, security etc.) to business
•Designed, modified, enhanced and certified over 56 Technology systems such as (Hotscan, BESS, Fircosoft, Fenergo, Prime BSA, Wall Street FX/MM etc.) in line with regulatory requirements, improving data integrity and productivity well beyond projected goals. Liaised between senior leadership team, developers and management to maintain clear, documented communication
•Designed and implemented effective internal data controls by running complex structured query language (SQL) or use of excel to validate processes to ensure data accuracy, completeness and integrity; test design analogy based on maturity model including the certification of external vendor hosted applications using SSAE 16 reports
•Guided Business and IT on architectural data alternatives by articulating the implications of each alternative and identified/communicated risks and risk mitigation options (business, application, infrastructure, integration, security)
•Designed the business data application architecture, illustrating the data flow path from source systems to target system to ensure it is flexible enough to support incremental development, ongoing maintenance, and future enhancements and recommendations to the system architecture
NORTH YORK GENERAL HOSPITAL - Toronto, Canada Sep 2016 – Apr 2017
Canada's leading community academic hospital provides exceptional care experience for patients and their families; it has proudly served diverse communities in North Toronto since 1968.
Business Process Analyst
Mandate: Test legitimacy of proposed scheduler solution to provide a simulation model output showing reduction in overtime and wait-times while showing increased capacity to see additional patients.
•Gather, analyse clinic data to conduct various functional data analysis such as name screening, patient and doctor profiling by utilizing complex Structured Query Language – Oracle SQL Developer
•Create clinic operations sequence flow (process map) based on patient type and analysis results
•Design and implement from a business and IT perspective data simulation model output which includes global case management solution
•Analyze data to identify trends, interdependencies among variables and define project scope, develop action plans and gain agreement to solutions from all stakeholders.
•Provide insight and test current patient flow and wait time to the model validation output
•Perform loading, extracting and validation of patient data; confirm effective controls with statistical analyze
•Ensure effective test cases and controls are executed during simulation
•Ensure project deliverables are timely and consistent with the hospital’s policy
•Designed, modified, enhanced standard data methodologies (i.e. Implementation strategies, Terms of Reference, business rules, threshold validation and Logic)
•Championed the day-to-day activities and decisions enabling patient satisfaction, improving efficiency and productivity well beyond projected goals
•Designed and implemented effective internal data control processes to ensure data accuracy and analogy based on maturity model
EDUCATION & PROFESSIONAL DEVELOPM ENT
•Bachelor of Industrial Engineering, Ryerson University, Toronto, ON
•Database Administration, SQL, Seneca College, Toronto, ON
•Microsoft Excel Course Completion, George Brown College, Toronto, ON
•Lean Six Sigma Green Belt Training, Ryerson University, Toronto, ON