The Data Analytics Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.
Responsibilities:
- Integrates subject matter and industry expertise within a defined area.
- Contributes to data analytics standards around which others will operate.
- Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function.
- Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers.
- Resolves occasionally complex and highly variable issues.
- Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken.
- Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning.
- 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.
Qualifications:
- 6-10 years experience usisng codes for statistical modeling of large data sets
Education:
- Bachelor’s/University degree or equivalent experience, potentially Masters degree
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
- Hands-on experience with build and test of ETL (Ab Initio) and API test automation frameworks
- Hands-on experience with complex coding on automation frameworks to simplify test automation
- Prior experience with Synthetic data solutions (Ex: Synthetic Data Vault and other LLM models)
- Provides QA Leadership on Data-driven Testing
- Unix, SQL and Shell Scripting experience is a must have
- Proficiency in PySpark
- Strong understanding of Microservice architecture
- Expertise in content validation from XML, databases, and flat files using scripts
- SME in Data Analysis, Database testing, Messaging queues
- Experience with tools like SOAP UI, Postman or Swagger
- Experience with coding standards, code reviews, source management, build processes (CI/CD pipeline)
- Assumes accountability and ownership of delivery with deep expertise in functional and technical aspects of application management
- Expert collaboration skills to partner with QE and Dev
- Monitors projects on an ongoing basis, evaluating progress and quality, managing risks / issues, and taking corrective action as necessary to meet project deadlines.
- Has impact on IT testing by influencing decisions through advice, counsel or facilitating services to others.
- Acts as advisor and mentor for junior members of the team. Resolves a variety of complex issues through evaluative judgment and analytical thought.
- Exhibits comprehensive knowledge of several areas within IT testing and has a good understanding of the industry.
- Performs other duties and functions as assigned.
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Job Family Group:
Technology
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Job Family:
Data Analytics
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Time Type:
Full time
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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.
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