Data Analytics Senior Analyst Job at Citi (Mississauga)

Job Description

Data Analytics Senior Analyst must demonstrate leadership, critical thinking, analytical and problem-solving abilities, hands-on intelligence or data analysis skills, and intellectual curiosity. The candidate should understand data science methods, and visualization techniques to leverage internal and external data to identify and develop ways to systemically detect inefficiencies and gaps. The incumbent is required to engage and work with global and regional business, operations, and internal/external technology partners to deliver.

Job Responsibility

Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and workflows for the product or function
Demonstrate an ability to apply curiosity and critical thinking in data mining and analytics to drive optimization and improve data quality
Conduct strategic data analysis across relational databases, identify insights & implications to make strategic recommendations, develop data displays that clearly communicate complex analysis
Understand the global implications & applicability of the recommendations and effectively communicate them to stakeholders
Collaborate with business partners to analyze complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
design new workflows to transform business requirements into concrete insights
Program new transformations, mappings, workflows and loading procedures using ETL technologies to implement business rules using the best practices to achieve high performance
Document and reference key facts uncovered during research and analysis process
Lead systems change process from requirements through implementation
provide user and operational support of applications to business users
Formulate and define systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
Participate in the development, testing, and training of new or enhanced tactical solutions or strategic system applications
Significantly influence decisions, work, and performance of the team through advice, counsel and/or facilitating skills
Supervise day-to-day staff management issues, including resource management, work allocation, mentoring/coaching and other duties and functions as assigned
Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Requirements

5-8 years Data analysis experience using tools and techniques for modeling of large data sets
Ability to effectively use complex analytical, interpretive and problem-solving techniques
Extensive experience working in Waterfall and Agile project methodologies
using JIRA
Advanced to Intermediate SQL skills querying relational databases
Experience with process and data modelling (UML) and knowledge of ETL
Proven interpersonal, diplomatic, management and prioritization skills
Proficiency in MS Office (Word, Excel, Visio, PowerPoint) with extensive experience using Excel for data analysis
Experience with all phases of Software Development Life Cycle
Ability to handle multiple projects simultaneously and analyze large sets of complex data, draw meaningful conclusions, and make recommendations based on analysis
Clear understanding of Data Structures and Object-Oriented Principles using Java
Hands-on experience with the Apache Spark framework using its Java API for large-scale data processing. This includes proficiency with RDDs, DataFrames, Datasets, and the use of Spark SQL for querying structured data.
Experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.) and Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.)
Exposure to architecture experience in building horizontally scalable, highly available, highly resilient, and low latency applications
Has the ability to operate with a limited level of direct supervision
Ability to work independently and in a team
Consistently demonstrate clear and concise written and verbal communication
Bachelor’s degree/University degree or equivalent experience

Nice to have

Good to have knowledge of Kubernetes and OpenShift
Knowledge of reporting tools like: Cognos, Tableau is a plus

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Data Analytics Senior Analyst

Job Description

Job Responsibility

Requirements

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