Senior Data Analyics Analyst

Citigroup   •  

Tampa, FL

Less than 5 years

Posted 213 days ago

This job is no longer available.


About CitiCiti, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range offinancial products and services, including consumerbanking and credit, corporate andinvestmentbanking, securities brokerage, transaction services, andwealth management. Our core activities are safeguarding assets, lending money, making payments and accessing thecapital markets on behalf of our clients.Citi’sMission and Value Proposition  explains what we do andCiti Leadership Standards explain how we do it. Our mission is to serve as a trusted partner to our clients by responsibly providingfinancial services that enable growth and economic progress. We strive to earn and maintain our clients’ and the public’s trust by constantly adhering to the highest ethical standards and making a positive impact on the communities we serve. Our Leadership Standards is a common set of skills and expected behaviors that illustrate how our employees should work every day to be successful and strengthens our ability to execute against our strategic priorities.Diversity is a key business imperative and a source of strength at Citi. We serve clients from every walk of life, every background and every origin. Our goal is to have our workforce reflect this samediversity at all levels. Citi has made it a priority to foster a culture where the best peoplewant to work, where individuals are promoted based on merit, where we value and demand respect for others and where opportunities to develop are widely available to all.The Senior Analyst / Data Scientist will beresponsible for conducting strategic business analysis and optimization of structured and unstructured data available within the Citi Security and Investigative Services (CSIS) program in Citi. The senior analyst willwork with stakeholders across the globe and execute complex statistical / business analyses insupport of Cyber andFraud Investigations. The analyst will prepare data visualizations, and or build forecast simulation models, develop algorithms to discover and classify activity or behavioral patterns that help in business decision making, and present executive summary findings to business audiences.  The focus area for this role is translating complex data into meaningful and digestible insights for a broad and diverse audience of clients and decision makers across the organization up to and including the Chief Security Officer. One of the primary duties will be tosupportinvestigations through analysis of large disparate datasets, such as log files ofcyber activity or aggregated lists of fraud incidents. A previous background in advanced business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining, isdesired for this role.Strong background in aquantitative or business discipline such as business administration, management information systems, computer science,statistics or related field isrequired for this role. Preferred skills include programmingexperiencefor data visualization (Cognos, MicroStrategy, Tableau), data analysis, data processing, and statistical tools such as SQL, SAS, R, or Python).  Fluency in English and very good written and verbal communication skills are necessary as well as the ability to work in a fast paced environment.

  • Conduct data-driven analyses and prepare reports; applyquantitative data analysis methods; prepare statistical and non-statistical data exploration in relation to transactional data as well as internal business indicators
  • Apply measurement practices to organize, analyze, and interpret data related to provide actionable information to decision makers. Ensure appropriate methodology is selected to answer specific business questions on effectiveness of coverage
  • Build and implement models and algorithms. Maintain high quality code and documentation. Assure efficiency, stability and scalability of the solution
  • Detect data anomalies and identify source of data problems.  Recommend data quality solutions and outlier detection, and extreme value normalization techniques to overcome
  • Use advanced visualization techniques to display data and the results of analysis in clear presentations and dashboards that can be understood by non-technical readers
  • Design statistically valid samples, design and conduct statistical experiments. Perform statistical inference and draw conclusions from sample data
  • Ensure Data Quality and Reliability. Design and implement various Data Quality methods using appropriate tools such as SAS, R, Python. Run quality checks against database and report all data issues.
  • Provide technical support to the team by implementing automation tools and integrating MS Office Excel, SQL Database and SAS platforms. Design technical solutions supporting complex data reporting and analytical tasks. Generate complex graphical data reports, including data crosstabs, scatter plots and statistical measures
  • Develop, analyze and report key performance indicators (KPIs) and key risk indicators (KRIs) for the existing business model. Ensure these KPIs and KRIs are aligned to the business model and modified in lines with changing business objectives
  • Display critical thinking in the creation of succinct narrative reports, presentations, visual mapping and link charts or similar diagrams to report analytical assessments. Display data and the results of analysis in clear straightforward business report that can be understood by non-technical readers. Provide written explanations of approach and analysis in plain language that supports the conclusions and observations
  • Change Management Advocate - Innovate and generate new ideas, concepts, and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data across the firm, as well as any factors that could affect the research results. Question and validate assumptions and status quo. Escalate identified risks and sensitive areas in terms of methodology and processes
  • Demonstrate ability to identify and anticipate the problems and product/solution needs of our clients
  • Development of effective relationships between the program and local Citi businesses, the financial services industry, and other relevant analytical, law enforcement or regulatory agencies


  • Master’s degree in business administration (MBA)/computer science/mathematics/statistics/quantitative methods (degree in economics/banking may be considered if strong analytical skills proved)
  • 3+ years of experience in data mining methods and their application in business practice (PhD degree may be considered for the fulfilment of work experience requirements)
  • 3+ years of experience with relational databases such as Oracle, SQL Server, and Data Marts/Data Warehouses
  • Strong programming and statistical/data analytical skills (VBA, R, Python); 3+ years of experience with SAS
  • Experience in providing the results of analyses in clear written form and presenting the findings to the audience
  • Demonstrated ability to collect, organize, analyze, evaluate, and interpret complex data with a strong understanding and application of analytical techniques, including estimating, forecasting, and/or predictive modeling experience
  • Advanced expertise in Microsoft Office products - Word, Excel, Access, Outlook, PowerPoint, & SharePoint – demonstrated creativity in use of these products to solve analytical problems
  • Experience in strategy and implementation of new technology and software tools for analytical improvements and information management
  • Established project management skills, such as Agile or Scrum. Ability to coordinate several projects simultaneously and execute daily duties with minimal supervision
  • Excellent communication, negotiation and presentation skills. Ability to effectively communicate, both verbally and in writing, through all levels of the organization
  • Demonstrated self-starter and resourceful individual with the ability and maturity to make decisions in the absence of detailed instructions and with experience of operating in fast paced and dynamic operational settings
  • Broad professional experience, including prior international work experience/travel or experience working as part of a globally dispersed team an advantage

ID: 18025969