The spec analytics analyst is a developing professional role.
applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data.
identifies policy gaps and formulates policies.
interprets data and makes recommendations.
researches and interprets factual information.
identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices.
integrates established disciplinary knowledge within own specialty area with basic understanding of related industry practices.
good understanding of how the team interacts with others in accomplishing the objectives of the area.
develops working knowledge of industry practices and standards.
limited but direct impact on the business through the quality of the tasks/services provided.
impact of the job holder is restricted to own team.
*responsibilities*:
- incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
- identifies and compiles data sets using a variety of tools (e.g. Sql, access) to help predict, improve, and measure the success of key business to business outcomes
- responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
- incumbents in this role may often be referred to as data scientists
- specialization in marketing, risk, digital and aml fields possible
*qualifications*:
- 0-2 years relevant experience
- have the ability to retrieve and manipulation data
- possess analytic ability and problem solving skills
- working experience in a quantitative field
- excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to 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 review of the types of work performed.
other job-related duties may be assigned as required.
conocimientos en programación.
experiência implementando soluciones de alto volumen de datos.
conocimiento en estadística y probabilidad.
conocimiento de modelos de machine learning.
lenguajes de programación: sql (1 año), python, (2 años) pyspark.
paqueterias indispensable
pandas
numpy
sklearn
deseables->>
tensorflow
xgboost
ingles intermedio.
*job family group*:
decision management
- *job family*:
specialized analytics (data science/computational statistics)
- *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.
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- view citi's _eeo policy statement_ and the _know your rights_ poster._