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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.
Job Responsibility
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
Requirements
Master’s / 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
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
Bachelors/University degree or equivalent experience
Nice to have
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