Data Analytics- Remediation

As a Data/Information Management Intermediate Analyst at Citi, you will be a developing professional dealing with most problems independently and having the latitude to solve complex issues. Your role will involve integrating in-depth specialty area knowledge with industry standards, applying analytical thinking, and utilizing data analysis tools and methodologies. Attention to detail is crucial for making judgments and recommendations based on factual information. You will have the opportunity to work closely with the businesses' core activities, impacting the effectiveness of your team and related teams.

**Responsibilities**: - **Remediation Analysis**: Execute comprehensive data remediation approach on customer issues arising from policy gaps, self-identification, or IA observations. - **Impact Assessment**: Identify the size of customers and the monetary impact due to these issues. - **Issue Management & Root Cause Analysis**: Identify and analyze issues and their causes using analytical methods. - **Audit Support**: Track implementation plans, provide data evidence, and artifacts for audit completion. - Deliver routine outputs while developing a broader understanding of the work context.

**Qualifications**: - 5-8 years of relevant experience - Strategic thinking and ability to engage external resources to achieve objectives - Proficiency in analytic tools like SAS E-miner, Knowledge Seeker, SPSS, etc. - Experience with big data and machine learning tools such as R, Python is a plus.

**Tools and Platforms**: - Business Analysis, Requirement Gathering, Data Analysis - Proficiency in SAS, SQL, RDBMS - Expertise in MS Excel, PowerPoint, VBA, Jira, Bitbucket

**Domain Skills**: - Understanding of banking domain and consumer products preferred

In addition, the role requires a Bachelor's/University degree or equivalent experience, preferably in Engineering or MBA from a premier institute. Overall experience of 5-8 years in a Data Analyst role, with experience in the banking industry considered a plus.

Please note that this position falls under the Decision Management job family, is full-time with a hybrid working schedule of a minimum of 3 days in the office per week, and follows regular local working hours aligned with NAM overlapping working hours. As a Data/Information Management Intermediate Analyst at Citi, you will be a developing professional dealing with most problems independently and having the latitude to solve complex issues. Your role will involve integrating in-depth specialty area knowledge with industry standards, applying analytical thinking, and utilizing data analysis tools and methodologies. Attention to detail is crucial for making judgments and recommendations based on factual information. You will have the opportunity to work closely with the businesses' core activities, impacting the effectiveness of your team and related teams.

**Responsibilities**: - **Remediation Analysis**: Execute comprehensive data remediation approach on customer issues arising from policy gaps, self-identification, or IA observations. - **Impact Assessment**: Identify the size of customers and the monetary impact due to these issues. - **Issue Management & Root Cause Analysis**: Identify and analyze issues and their causes using analytical methods. - **Audit Support**: Track implementation plans, provide data evidence, and artifacts for audit completion. - Deliver routine outputs while developing a broader understanding of the work context.

**Qualifications**: - 5-8 years of relevant experience - Strategic thinking and ability to engage external resources to achieve objectives - Proficiency in analytic tools like SAS E-miner, Knowledge Seeker, SPSS, etc. - Experience with big data and machine learning tools such as R, Python is a plus.

**Tools and Platforms**: - Business Analysis, Requirement Gathering, Data Analysis - Proficiency in SAS, SQL, RDBMS - Expertise in MS Excel, PowerPoint, VBA, Jira, Bitbucket

**Domain Skills**: - Understanding of banking domain and consumer products preferred

In addition, the role requires a Bachelor's/University degree or equivalent experience, preferably in Engineering or MBA from a premier institute. Overall experience of 5-8 years in a Data Analyst role, with experience in the banking industry considered a plus.

Please note that this position falls under the Decision Management job family, is full-time with a hybrid working schedule of a minimum of 3 days in the office per week, and follows regular local working hours aligned with NAM overlapping working hours.