Applications Development Analyst at Citi

Irving, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Business Intelligence, Cognos Analytics, Python, PYSPARK, Generative AI, Tableau, Big Data, SQL, Data Warehousing, NoSQL Databases, Data Visualization, AI Technology Stack, Cloud Platforms, Agile Project Management, Data Security

Industry

Financial Services

Description

Developed communication and diplomacy skills are required to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. 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. Lead data analytics initiatives, translating business needs into actionable insights and reporting solutions. Develop metadata model using Framework Manager, create and maintain Data Modules using web-based modeling interface Develop interactive dashboards using the new Cognos dashboarding module for self-service insights. Use AI Assistant / Natural Language Query features to empower non-technical users to explore data Utilize Python, PYSPARK for data analysis, automation, and AI-driven insights Leverage Generative AI for predictive analytics, automation, and business intelligence Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Develop applications that leverage LLMs and FMs Work with Big Data technologies (e.g., Spark, Hadoop, Databricks) to handle large-scale datasets Implement custom visualizations and R/JavaScript integrations within reports Design advanced Tableau dashboards, leveraging calculated fields, LOD expressions, actions, and parameters. Collaborate with cross-functional and offshore/onsite teams to deliver scalable analytics solutions. Provide leadership in data strategy, visualization best practices, and business intelligence initiatives. Responsible for volume, quality, timeliness, and delivery of data science projects along with short-term planning resource planning. Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning. 6-10 years of experience in data analytics, business intelligence, or data engineering. Strong expertise in Cognos Analytics including Data Modules, Dashboarding, AI Assistant, Explorations, Stories, and Custom Visualizations Experience in Utilizing Python, PYSPARK for data analysis, automation, and AI-driven insights Experience in Leveraging Generative AI for predictive analytics, automation, and business intelligence Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection Experience in developing applications that leverage LLMs and FMs String hands-on skills on Tableau desktop and Tableau server/Online String understanding of data warehousing and performance optimization. Experience working with Big Data tools such as Hive, Spark, Hadoop, or Databricks. Excellent problem-solving skills and experience handling large datasets. Strong SQL skills for complex queries, data transformations, and analytics. Hands on experience and good understanding of column-oriented databases, distributed database management systems and NoSQL databases. Strong business acumen and ability to translate data into business insights. Design and implement benchmarks to measure the performance of software systems within AI capabilities and make recommendations on technology selection. Ability to collaborate with onsite/offshore teams and work in a global environment. Excellent communication, presentation, time management and client management skills are critical for this role Comfortable working/leading virtual teams, Agile PM Hands-on experience with Python Familiarity with cloud platforms (AWS GCP) and CI/CD practices. Understanding of data security, governance, and compliance best practices. 6-10 years' experience using codes for statistical modeling of large data sets Bachelor of Technology/ Major: Electronics and Instrumentation Engineering ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Dec 16, 2025 ------------------------------------------------------

Responsibilities

The Applications Development Analyst will lead data analytics initiatives and develop actionable insights and reporting solutions. They will collaborate with cross-functional teams to deliver scalable analytics solutions and provide leadership in data strategy and business intelligence initiatives.