Data Warehouse Lead

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.

• 5 + years of experience in data projects (ETL, DWH, DataLake, information analysis)
• 5 + years of experience in AbInitio/ExpressIT.
• 5 + years of experience with Relational Database Systems and SQL such as Teradata, SQLServer Oracle or similar.
• 2+ years of experience with Agile practices
• Preferred 5+ years in-depth experience with Hadoop stack (MapReduce, HDFS, YARN) and with some Hadoop ecosystems tools (HIVE, HBase, Pig, Impala, Sqoop, etc)
• Preferred 5+ years of experience in at least one scripting language (Python, Perl, PHP, Java, Javascript, C++, C#, C, etc.)
• Preferred 2+ years of experience with NoSQL implementation (Mongo, Cassandra, Neo4j, etc).
• Preferred 3+ years of experience with Linux or Unix Operative Systems
• Preferred 2+ years of experience using DevOps to do CI / CD

• Strong analytical and quantitative skills
• Data driven and results-oriented
• Experience delivering with an agile methodology
• Experience leading infrastructure and technical programs
• Skilled at working with third party service providers
• Excellent written and oral communication skills
• English 80% speaking and writing.

• Ability to deliver cross-functional solutions with multiple customers
• Strong people skills
• Communication complex technical concepts to non-technical people
• High teamwork capacity
• Ability to handle multiple projects

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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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