Data Analyst

The Data/Information Mgt Analyst 2 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:

• Engineering Degree with more than 3 years of experience in BigData systems, Hive, Hadoop, Spark (Python/ scala) and cloud based data management technologies
• Hands-on experience in Unix Scripting, Python and Scala programing along with strong experience in SQL.
• Comfortable working with completed unstructured, undocumented code and turning it around into best in class code redesigning costly compute and data processes and aligning to best development standards
• Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
• Well versed with necessary data preprocessing and application engineering skills
• At least 3 years of experience designing software systems with intense computational needs across real time and batch process .
• Experience and understanding of Supervised, unsupervised machine learning techniques
• Exposure to data ingestion, ETL tools such as Talend, modeling tools, Performance Management tooling such as Pepper data, Cloudera stack will be a plus
• Knowledge of data management, data governance, data security and regulatory practices
• Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
• Should have experience of working in onsite, offsite delivery model
• Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
• Experience in Credit Cards and Retail Banking
• Should have excellent communication and inter-personal skills
• Strong process/project management skills
• Multiple stake holder management
• Control orientated and Risk awareness

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.

• Engineering Degree with more than 3 years of experience in BigData systems, Hive, Hadoop, Spark (Python/ scala) and cloud based data management technologies
• Hands-on experience in Unix Scripting, Python and Scala programing along with strong experience in SQL.
• Comfortable working with completed unstructured, undocumented code and turning it around into best in class code redesigning costly compute and data processes and aligning to best development standards
• Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
• Well versed with necessary data preprocessing and application engineering skills
• At least 3 years of experience designing software systems with intense computational needs across real time and batch process .
• Experience and understanding of Supervised, unsupervised machine learning techniques
• Exposure to data ingestion, ETL tools such as Talend, modeling tools, Performance Management tooling such as Pepper data, Cloudera stack will be a plus
• Knowledge of data management, data governance, data security and regulatory practices
• Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form
• Should have experience of working in onsite, offsite delivery model
• Experience working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
• Experience in Credit Cards and Retail Banking
• Should have excellent communication and inter-personal skills
• Strong process/project management skills
• Multiple stake holder management
• Control orientated and Risk awareness

\------------------------------------------------------

## Job Family Group:

Decision Management

\------------------------------------------------------

## Job Family:

Data/Information Management

\------------------------------------------------------

## 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.

\------------------------------------------------------

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.