Job Description

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

• Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flows.
• Coordinates and contribute to the objectives of data science initiatives and overall business through leveraging in-depth understanding of how areas collectively integrate within the sub-function.
• Assumes informal/formal leadership role through coaching and training of new recruits.
• Significantly influences decisions, work, and performance of all teams through advice, counsel and/or facilitating services to others in the business.
• Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis.
• Mines and analyzes data from various banking platforms to drive optimization and improve data quality.
• Delivers analytics initiatives to address business problems with the ability to identify data required, assess time & effort required and establish a project plan.
• Consults with business clients to identify system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals.
• Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.
• Leads system change process from requirements through implementation; provides user and operational support of application 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.
• Impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams.
• Considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts.
• Drives communication between business leaders and IT; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information.
• Appropriately assess risk when business decisions are made, demonstrating particular 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.

Core Responsibilities:

• This role is for a Data Engineering Senior Developer/Analyst to work on the Vanguard Big Data Platform. The team is responsible for the development, enhancement and maintenance of leading Big Data initiatives and use cases providing business value.
• Interface with product teams to understand their requirements to build the ingestion pipelines and conformance layer for consumption by business, product and operation teams.
• Work closely with the data ingestion team to track the requirements and drive the build out of the canonical models
• Provide guidance to the data conformance team for implementing the requirements/changes/enhancements to the conformance model
• Do hands-on development as part of the conformance team to deliver the business requirements
• Manage the workload of the team and the scrum process to align it with the objectives and priorities of the product owners
• Participate in data management activities related to the Risk and Regulatory requirements as needed.

Core Skills:

• The Data Engineering Senior Business/Data Analyst/Programmer will be working very closely with a team of data engineers working on our Big Data Platform.
• Strong solid understanding of the Big Data architecture and the ability to trouble shoot performance and/or development issues on Hadoop (Cloudera preferably) or Snowflake
• Hands-on experience working with Core SQL, Hive, Impala and HBase, Kudu, Spark for data curation/conformance related work
• Experience with Spark/Storm/Kafka or equivalent streaming/batch processing and event-based messaging
• Strong data analysis skills and the ability to slice and dice the data as needed for business reporting
• Experience working in an agile environment with a fast-paced changing requirements.
• Excellent planning and organizational skills
• Strong Communication skills

Additional Requirements (good to have):

• Cloudera/Hortonworks/AWS EMR, Snowflake, Couchbase, S3 experience a plus
• Experience with the AWS or GCP tech stack components
• Relational and NoSQL database integration and data distribution principles experience
• Experience with API development and use of JSON/XML/Hypermedia data formats
• Analysis and development across Lines of business including Payments, Digital Channels, Sales, Liquidities, Trade, Commercial Cards, Client Experience, Global Billing
• Cross train and fertilize functional and technical knowledge,
• Align to Engineering Excellence Development principles and standards.
• Fully adhere to and evangelize a full Continuous Integration and Continuous Deploy pipeline

Qualifications:

• 6-10 years experience using tools for statistical modeling of large data sets
• Ability to effectively use complex analytical, interpretive and problem solving techniques
• Demonstrated interpersonal, verbal and written communication skills

Education:

• Bachelor\xe2\x80\x99s/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Citi Canada is an equal opportunity employer. Accordingly, we will make accommodations to respond to the needs of people with disabilities (including, without limitation, physical and mental health disabilities) during the recruitment process and otherwise in accordance with law. Individuals who view themselves as Aboriginals, members of visible minority or racialized communities, and people with disabilities are encouraged to apply.



Job Family Group: Technology



Job Family: Data Analytics



Time Type: Full time



Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi\xe2\x80\x9d) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review .

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