Citigroup
Data Analytics Lead Analyst - Vice President
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview
The Data Analytics Lead Analyst accomplishes results through the management of professional team(s) and department(s). Integrates subject matter and industry expertise within Mortgage and Personal Loans area. Contributes to standards around which others will operate. Requires in-depth understanding of how areas collectively integrate within the Mortgage and Personal Loan as well as coordinate and contribute to the objectives of the entire function. 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. Has responsibility for volume, quality, timeliness and delivery of end results of an area. May have responsibility for planning, budgeting and policy formulation within area of expertise. Responsibilities: Integrates subject matter and industry expertise within Lending (Mortgage and Personal Loans). Contributes to data analytics standards around which others will operate. Articulate the basic differences between datatypes (e.g. JSON/NoSQL, Relational etc.,). Basic implications of different implementation decisions (e.g., distributed processing, parallel processing). Designing and implementing a data schema (e.g., normalization/de-normalization, relational model vs dimensional model, partitioning). Monitor and troubleshoot operational or data issues in the data pipelines. Required Qualifications: Experience with big data processing technology (e.g., Hadoop, Apache Spark, Pyspark, Python, Scala, HDFS, Hive, Impala etc.,), data warehouse technical architecture, infrastructure components, and reporting/analytic tools and environments. Big Data Platforms: Cloudera / Horton Works / Snowflake / AWS EMR / RedShift/ AWS Glue. Database, data warehouse or data lake solutions. Experience building data pipelines or automated ETL processes. One or more scripting language (e.g., Python, Scala, Shell Scripting). Experience with Build Tools, Version Control, Unit Test, Monitoring, Change Management to support DevOps. Scheduling tools like Autosys, Airflow etc., Knowledge of writing and optimizing SQL queries with large-scale, complex datasets. Data visualization tools like Tableau, Cognos, Qlickview, AWS QuickSight etc Familiarity with any NOSQL databases (HBase, MongoDB, Couchbase, Cassandra, and Neo4j) will be a plus. 6+ years' experience using tools for Data warehousing, Data Lake and cloud technologies Preferred Qualifications: Good team player by aiding the team with troubleshooting, researching the root cause, and thoroughly resolving issues in the event of a problem. Good Collaboration skills to work with Business Analysts, Data Engineers, Data Governance team, and other internal partners to identify opportunities/problems. Must be a self-starter with a positive attitude. Education: Bachelor's/University degree, Master's degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview
The Data Analytics Lead Analyst accomplishes results through the management of professional team(s) and department(s). Integrates subject matter and industry expertise within Mortgage and Personal Loans area. Contributes to standards around which others will operate. Requires in-depth understanding of how areas collectively integrate within the Mortgage and Personal Loan as well as coordinate and contribute to the objectives of the entire function. 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. Has responsibility for volume, quality, timeliness and delivery of end results of an area. May have responsibility for planning, budgeting and policy formulation within area of expertise. Responsibilities: Integrates subject matter and industry expertise within Lending (Mortgage and Personal Loans). Contributes to data analytics standards around which others will operate. Articulate the basic differences between datatypes (e.g. JSON/NoSQL, Relational etc.,). Basic implications of different implementation decisions (e.g., distributed processing, parallel processing). Designing and implementing a data schema (e.g., normalization/de-normalization, relational model vs dimensional model, partitioning). Monitor and troubleshoot operational or data issues in the data pipelines. Required Qualifications: Experience with big data processing technology (e.g., Hadoop, Apache Spark, Pyspark, Python, Scala, HDFS, Hive, Impala etc.,), data warehouse technical architecture, infrastructure components, and reporting/analytic tools and environments. Big Data Platforms: Cloudera / Horton Works / Snowflake / AWS EMR / RedShift/ AWS Glue. Database, data warehouse or data lake solutions. Experience building data pipelines or automated ETL processes. One or more scripting language (e.g., Python, Scala, Shell Scripting). Experience with Build Tools, Version Control, Unit Test, Monitoring, Change Management to support DevOps. Scheduling tools like Autosys, Airflow etc., Knowledge of writing and optimizing SQL queries with large-scale, complex datasets. Data visualization tools like Tableau, Cognos, Qlickview, AWS QuickSight etc Familiarity with any NOSQL databases (HBase, MongoDB, Couchbase, Cassandra, and Neo4j) will be a plus. 6+ years' experience using tools for Data warehousing, Data Lake and cloud technologies Preferred Qualifications: Good team player by aiding the team with troubleshooting, researching the root cause, and thoroughly resolving issues in the event of a problem. Good Collaboration skills to work with Business Analysts, Data Engineers, Data Governance team, and other internal partners to identify opportunities/problems. Must be a self-starter with a positive attitude. Education: Bachelor's/University degree, Master's degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.