Job
Description
As a Spec Analytics Analyst at Citi, you will be responsible for applying your specialty area knowledge to monitor, assess, analyze, and evaluate processes and data. Your role will involve identifying policy gaps, formulating policies, interpreting data, and making recommendations. Additionally, you will research and interpret factual information, identify inconsistencies in data or results, define business issues, and formulate recommendations on policies, procedures, or practices. You will integrate established disciplinary knowledge within your specialty area with a basic understanding of related industry practices. Your understanding of how the team interacts with others to accomplish objectives will be crucial. While your impact on the business may be limited, the quality of tasks/services you provide will have a direct impact on your team. **Key Responsibilities:** - Work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies - Identify and compile data sets using tools like SQL and Access to predict, improve, and measure the success of key business outcomes - Document data requirements, data collection/processing/cleaning, and exploratory data analysis, potentially utilizing statistical models/algorithms and data visualization techniques - May be referred to as Data Scientists and specialize in marketing, risk, digital, and AML fields - Assess risk appropriately when making business decisions, ensuring compliance with laws, rules, and regulations, and safeguarding Citigroup, its clients, and assets **Qualifications:** - 2+ years of relevant experience for Masters, 4+ years of relevant experience for Bachelors - Hands-on Experience in Python, Hive, SQL, Tableau & Machine Learning (ML) is required - Experience with PySpark, Natural Language Processing (NLP), Large Language Models (LLM) - Write clean, efficient, and well-documented code according to design specifications and coding standards - Utilize version control systems like Git to manage code changes and collaborate with team members - Proficient in MS Excel, PowerPoint - Ability to retrieve and manipulate data, possess analytic ability and problem-solving skills - Working experience in a quantitative field - Excellent communication and interpersonal skills, organized, detail-oriented, and adaptive to a matrix work environment - Ability to build partnerships with cross-functional teams **Education:** - Bachelors/University degree or equivalent experience This job description provides a high-level overview of the work performed. Other job-related duties may be assigned as required. As a Spec Analytics Analyst at Citi, you will be responsible for applying your specialty area knowledge to monitor, assess, analyze, and evaluate processes and data. Your role will involve identifying policy gaps, formulating policies, interpreting data, and making recommendations. Additionally, you will research and interpret factual information, identify inconsistencies in data or results, define business issues, and formulate recommendations on policies, procedures, or practices. You will integrate established disciplinary knowledge within your specialty area with a basic understanding of related industry practices. Your understanding of how the team interacts with others to accomplish objectives will be crucial. While your impact on the business may be limited, the quality of tasks/services you provide will have a direct impact on your team. **Key Responsibilities:** - Work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies - Identify and compile data sets using tools like SQL and Access to predict, improve, and measure the success of key business outcomes - Document data requirements, data collection/processing/cleaning, and exploratory data analysis, potentially utilizing statistical models/algorithms and data visualization techniques - May be referred to as Data Scientists and specialize in marketing, risk, digital, and AML fields - Assess risk appropriately when making business decisions, ensuring compliance with laws, rules, and regulations, and safeguarding Citigroup, its clients, and assets **Qualifications:** - 2+ years of relevant experience for Masters, 4+ years of relevant experience for Bachelors - Hands-on Experience in Python, Hive, SQL, Tableau & Machine Learning (ML) is required - Experience with PySpark, Natural Language Processing (NLP), Large Language Models (LLM) - Write clean, efficient, and well-documented code according to design specifications and coding standards - Utilize version control systems like Git to manage code changes and collaborate with team members - Proficient in MS Excel, PowerPoint - Ability to retrieve and manipulate data, possess analytic ability and problem-solving skills - Working experience in a quantitative field - Excellent communication and interpersonal skills, organized, detail-oriented, and adapt
