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:
- Responsible for design and development of end-to-end solutions
- Key stakeholder for the project across various SDLC phases and work closely with Business Analyst, Testing group, UAT and Production support teams to ensure success rollout of the project deliverables.
- Timely escalation to Line Management and negotiate solutions and timelines with key stakeholders involved in execution of the project deliverables.
- Able to cover Global time zones.
- 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:
- 10+ years experience in software development and should have minimum 4 years of hands-on experience in Spark, Spark Structured Streaming, Scala, HBase and Hive
- Snowflake, Tableau will be good to have
Education:
- Candidate should have B.E/B.Tech or above
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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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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