Citi
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Data Analytics Lead Analyst - Vice President
role at
Citi
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. Involved in short-term planning resource planning.
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 (JSON/NoSQL, Relational etc.).
Explain the basic implications of different implementation decisions (distributed processing, parallel processing).
Designing and implementing a data schema (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 (Hadoop, Apache Spark, Pyspark, Python, Scala, HDFS, Hive, Impala etc.), data warehouse technical architecture, infrastructure components, and reporting/analytics 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 (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, Neo4j) will be a plus.
6+ years’ experience using tools for Data warehousing, Data Lake and cloud technologies.
Preferred Qualifications
Good team player: aiding the team with troubleshooting, researching root cause, and thoroughly resolving issues.
Good collaboration skills to work with Business Analysts, Data Engineers, Data Governance team, and other internal partners to identify opportunities/problems.
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.
Job Family Group: Technology.
Job Family: Data Analytics.
Time Type: Full time.
Primary Location: Irving, Texas, United States.
Full Time Salary Range: $125,760 – $188,640.
Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned (vacation), unplanned (sick leave), and paid holidays.
Anticipated Posting Close Date: Jan 16, 2026.
Citi is an equal‑opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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, view accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.
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Data Analytics Lead Analyst - Vice President
role at
Citi
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. Involved in short-term planning resource planning.
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 (JSON/NoSQL, Relational etc.).
Explain the basic implications of different implementation decisions (distributed processing, parallel processing).
Designing and implementing a data schema (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 (Hadoop, Apache Spark, Pyspark, Python, Scala, HDFS, Hive, Impala etc.), data warehouse technical architecture, infrastructure components, and reporting/analytics 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 (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, Neo4j) will be a plus.
6+ years’ experience using tools for Data warehousing, Data Lake and cloud technologies.
Preferred Qualifications
Good team player: aiding the team with troubleshooting, researching root cause, and thoroughly resolving issues.
Good collaboration skills to work with Business Analysts, Data Engineers, Data Governance team, and other internal partners to identify opportunities/problems.
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.
Job Family Group: Technology.
Job Family: Data Analytics.
Time Type: Full time.
Primary Location: Irving, Texas, United States.
Full Time Salary Range: $125,760 – $188,640.
Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned (vacation), unplanned (sick leave), and paid holidays.
Anticipated Posting Close Date: Jan 16, 2026.
Citi is an equal‑opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
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, view accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.
#J-18808-Ljbffr