The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Responsibilities:
- Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
- Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
- Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
- Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
- Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
- Ensure essential procedures are followed and help define operating standards and processes
- Serve as advisor or coach to new or lower level analysts
- Has the ability to operate with a limited level of direct supervision.
- Can exercise independence of judgement and autonomy.
- Acts as SME to senior stakeholders and /or other team members.
- 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.
Recommended Qualifications:
We are seeking a talented and analytical Business Intelligence (BI) Engineer to design, develop, and maintain our enterprise-wide reporting and analytics solutions. In this role, you will transform raw data into actionable business insights by building robust data models, interactive dashboards, and self-service analytics tools.
You will work closely with business analysts, data engineers, and executive stakeholders to understand business requirements and deliver intuitive, high-performance visualization solutions that drive data-backed decision-making.
Key Responsibilities
6+ YOE is a must have
- Dashboard & Report Development: Design, build, and maintain highly interactive, visually appealing, and user-friendly dashboards and reports using enterprise BI tools (e.g., Tableau, MicroStrategy).
- Data Modeling & Semantic Layers: Design and implement efficient semantic layers, data models (Star/Snowflake schemas), and aggregated tables in the data warehouse to support fast and reliable reporting.
- SQL & Query Optimization: Write complex, optimized SQL queries to extract, manipulate, and analyze data from various enterprise databases and cloud data warehouses.
- Business Collaboration: Partner with cross-functional business units to gather reporting requirements, define key performance indicators (KPIs), and translate business needs into technical specifications.
- Data Quality & Governance: Ensure data accuracy and consistency across all reports by implementing validation checks and adhering to enterprise data governance and security standards.
- User Enablement: Provide training, documentation, and support to business users to promote self-service BI capabilities and foster a data-driven culture.
Technical Skills & Qualifications
Required:
- BI & Visualization Tools: Deep expertise in at least one major BI platform.
- SQL Mastery: Advanced knowledge of SQL (analytical functions, complex joins, subqueries, and query performance tuning).
- Data Modeling: Strong understanding of data warehousing concepts, dimensional modeling (Star Schema, Snowflake Schema), and ETL/ELT processes.
Preferred:
- Programming: Basic proficiency in Python or R for data manipulation and scripting.
- ETL/Data Prep: Experience with data transformation tools and SQL-based ETL pipelines.
- Version Control: Familiarity with Git and version control workflows for BI assets
- UX Expertise – Familiarity of UX design and standards
Experience & Education
- Education: Bachelor’s degree in Computer Science, Information Systems, Business Analytics or a related field.
- Experience:
- 6+ years of professional experience as a BI Engineer, BI Developer, or Data Analyst with a heavy focus on engineering and visualization.
- Proven track record of delivering production-grade dashboards and reporting suites to business stakeholders.
- Education:
- Bachelor’s degree/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
We are seeking a talented and analytical Business Intelligence (BI) Engineer to design, develop, and maintain our enterprise-wide reporting and analytics solutions. In this role, you will transform raw data into actionable business insights by building robust data models, interactive dashboards, and self-service analytics tools.
You will work closely with business analysts, data engineers, and executive stakeholders to understand business requirements and deliver intuitive, high-performance visualization solutions that drive data-backed decision-making.
Key Responsibilities
- Dashboard & Report Development: Design, build, and maintain highly interactive, visually appealing, and user-friendly dashboards and reports using enterprise BI tools (e.g., Tableau, MicroStrategy).
- Data Modeling & Semantic Layers: Design and implement efficient semantic layers, data models (Star/Snowflake schemas), and aggregated tables in the data warehouse to support fast and reliable reporting.
- SQL & Query Optimization: Write complex, optimized SQL queries to extract, manipulate, and analyze data from various enterprise databases and cloud data warehouses.
- Business Collaboration: Partner with cross-functional business units to gather reporting requirements, define key performance indicators (KPIs), and translate business needs into technical specifications.
- Data Quality & Governance: Ensure data accuracy and consistency across all reports by implementing validation checks and adhering to enterprise data governance and security standards.
- User Enablement: Provide training, documentation, and support to business users to promote self-service BI capabilities and foster a data-driven culture.
Technical Skills & Qualifications
Required:
- BI & Visualization Tools: Deep expertise in at least one major BI platform.
- SQL Mastery: Advanced knowledge of SQL (analytical functions, complex joins, subqueries, and query performance tuning).
- Data Modeling: Strong understanding of data warehousing concepts, dimensional modeling (Star Schema, Snowflake Schema), and ETL/ELT processes.
Preferred:
- Programming: Basic proficiency in Python or R for data manipulation and scripting.
- ETL/Data Prep: Experience with data transformation tools and SQL-based ETL pipelines.
- Version Control: Familiarity with Git and version control workflows for BI assets
- UX Expertise – Familiarity of UX design and standards
Experience & Education
- Education: Bachelor’s degree in Computer Science, Information Systems, Business Analytics or a related field.
- Experience:
- 6+ years of professional experience as a BI Engineer, BI Developer, or Data Analyst with a heavy focus on engineering and visualization.
- Proven track record of delivering production-grade dashboards and reporting suites to business stakeholders.
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Job Family Group: Technology------------------------------------------------------
Job Family:Applications Development------------------------------------------------------
Time Type:Full time------------------------------------------------------
Most Relevant Skills Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their 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 review Accessibility at Citi.
View Citi’s EEO Policy Statement and the Know Your Rights poster.
Skills Required
- 6+ years professional experience as a BI Engineer, BI Developer, or Data Analyst
- Deep expertise in at least one major BI/visualization platform (e.g., Tableau, MicroStrategy)
- Advanced SQL (analytical functions, complex joins, subqueries, query performance tuning)
- Strong understanding of data warehousing concepts and dimensional modeling (Star and Snowflake schemas)
- Experience with ETL/ELT processes and building aggregated tables for reporting
- Proven track record delivering production-grade dashboards and reporting suites to business stakeholders
- Experience implementing data quality checks and adhering to data governance and security standards
- Bachelor's degree in Computer Science, Information Systems, Business Analytics or equivalent experience
- Proficiency in Python or R for data manipulation and scripting
- Experience with data transformation tools and SQL-based ETL pipelines
- Familiarity with Git and version control workflows for BI assets
- Familiarity with UX design principles and standards
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
Citi Insights
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