Expertise Required : Analytical Skills :
- Intermediate knowledge in Data analysis & Data patterns
- Skilful in transforming data sets and performing quantitative & qualitative analysis
- Knowledge on data manipulation and problem solving to effectively work with large datasets and drive actionable conclusions.
Tools and Platforms
Proficient in SAS, SQL, Tableau, Appian, Xceptor, Python and MainframesKnowledge on schedulers (Autosys / LSF)Proficient in MS Excel, PowerPoint, and VBAFamiliarity with any version control tool, preferably BitbucketNice to have :
Experience one of the below technologies.
SAS on MainframePython KnowledgeWorkflow management tools like Jira, Confluence etc.Domain Skills :
Good understanding of :
Banking Products (Wealth, Cards, Deposit, Loans & Insurance etc.)MCA & Inherent RiskFunctional Skills :
Nice to have - Knowledge of Finance Regulations, Understanding of Audit ProcessSoft Skills :
Should have good communication and inter-personal skills.Mentoring junior members in the teamAbility to thrive in a dynamic and fast-paced environment.Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.Proactive approach in solving problems and eye for details.A strong team playerBasic Qualifications :
Masters degree in information technology / Information Systems / Computer Applications / Engineering from a premier institute. BTech / B. E / MCA in Information Technology / Information Systems / Computer Applications.(Preferred) Postgraduate in Masters in computers5 - 8 years of hands-on experience in Development / Production Support identifying production failures and fixing issues towards resolution involving codes in SAS & SQL environment(ref : hirist.tech)