Job summary
Job post source
This job is directly from Citi
Job overview
The Data Analytics Lead Analyst at Citi leads the design and development of Big Data solutions, impacting data engineering and analytics capabilities within the company.
Responsibilities and impact
The role involves designing Big Data pipelines, migrating legacy workloads to cloud platforms, collaborating with data scientists, automating processes via CI/CD, mentoring team members, and optimizing data applications for performance.
Compensation and benefits
The salary range is $156,832 to $158,014 with additional incentives and retention awards; benefits include medical, dental, vision coverage, 401(k), insurance, wellness programs, and paid time off.
Experience and skills
Requires a Master's degree in IT or related field with 3 years of relevant experience or a Bachelor's with 5 years; skills include Python, PySpark, Scala, Hadoop, Snowflake, data modeling, governance, and software release management.
Work environment and culture
Citi offers a hybrid/telecommuting work schedule within commuting distance and promotes equal opportunity and accessibility in its work environment.
Company information
Citi is a global financial institution offering diverse technology roles focused on innovation and data analytics within its Technology job family group.
Job location and travel
The position is based in Jacksonville, Florida, with options for telecommuting or hybrid work arrangements.
Application process
Applicants must submit resumes via Citi's official job portal referencing Job ID #25869261 before September 3, 2025.
Unique job features
The role includes converting SAS pipelines to modern languages and integrating open-source technologies, emphasizing automation and cloud migration.
Company overview
Citigroup Inc., commonly known as Citi, is a leading global financial services company headquartered in New York City. It provides a broad range of financial products and services, including consumer banking, credit, corporate and investment banking, securities brokerage, and wealth management. Citi makes money primarily through interest income from loans and credit cards, fees from banking services, and trading and investment activities. Founded in 1812, Citi has a rich history marked by significant mergers, including the 1998 merger with Travelers Group, which expanded its financial services footprint.
How to land this job
Tailor your resume to emphasize your expertise in designing and developing Big Data solutions using Hadoop and Snowflake, highlighting your experience with cloud migration and automation through CI/CD pipelines.
Showcase your proficiency in programming languages like PySpark, Scala, and Python, especially in building and optimizing data pipelines and converting legacy SAS workloads.
Apply through multiple channels including Citi's official careers site (https://jobs.citi.com/) referencing Job ID #25869261 and professional platforms like LinkedIn to maximize visibility.
Connect with current Data Analytics or Technology team members at Citi on LinkedIn; use ice breakers like commenting on recent Citi data initiatives or asking about their experience working with Big Data technologies in the cloud environment.
Optimize your resume for ATS by incorporating keywords such as 'Big Data', 'Hadoop', 'Snowflake', 'PySpark', 'Scala', 'CI/CD', 'cloud migration', and 'data pipeline automation' to ensure it passes automated screenings effectively.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify optimal job posting sites, and find relevant Citi contacts on LinkedIn, allowing you to focus on preparing for interviews and networking.
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