Assistant Manager – Data Analyst - ANA015378
Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.
Inviting applications for the role of Assistant Manager – Data Analyst
In this role, you will be working in the capacity of an Analyst and leverage your expertise and skills to support and build new solutions. You are expected to participate in various digital and non-digital projects being initiated by our customers. You will interact with various stakeholders in business, risk 1 st and 2 nd line of defense and technology to elicit, communicate, and gather requirements, while ensuring robust solutions are designed and delivered as per the organization’s standards.
Responsibilities
1. Perform tasks and participate in various stages of end-to-end Project life cycle and have good understanding and experience in both agile and waterfall-based project execution.
2. Understand and gather data requirements for items such as but not limited to new data demands, new regulatory consumption, attribute mapping, defining aggregation rules etc. requires,
· Good understanding of databases and data structures
· Able to handle large volume of data, perform various Data Profiling tasks – Discovery and analysis, Create and analyze Data Dictionaries, Attribute Mapping, interpret DQ Lifecycles, Lineage etc.
· Knowledge of DQ standards, guidelines, and best practices
3. Review, analyze and evaluate business processes, procedures, process tools, EUCs, legacy applications for gaps, redundancies and enhancements
4. Work with various stakeholders to identify and converge multiple disparate data stores into a single cohesive store
5. Collaborate with development teams to ensure requirements are well understood and solution being built are in line with requirements.
Qualifications we seek in you!
Minimum Qualifications
· Relevant years of applied project experience in projects such as Digital Transformation, Developing BI solutions, Report Automation and Data Quality Assurance etc.
· Expertise in handling large volume of data, perform data analysis and ensure data is fit for purpose
a. Have worked with ETL tools such as (Datameer/Infomatica/SSIS)
b. Python/SQL Skills - reading and writing scripts for Data extraction, cleaning, discovery and analysis
c. Data Element identification: Critical Data Element Mapping to Physical Data elements
d. Ability to understand Lineage docs and Data catalogues
e. Able to investigate and perform root cause analysis for data issues
f. Good knowledge of DQ standards, experience in Data validation and able to implement DQ rules/controls and monitor them for data consistency and accuracy
· Good understanding of databases and data structures.
· Good MS Excel skills perform advanced operations and understands complex formulae/transformations/Pivots etc.)
Preferred Qualifications/ Skills
· Good knowledge and exposure working with multiple workstreams – Digital, Data, Technology, Dev Ops, Testing and Business Product and Process Owners, is proficient in work with stakeholders to elicit requirements and develop solutions
· Experience in the Banking domain with exposure in Retail or Wealth Management areas and projects
· Proficiency in Python, Structured Query Language (SQL).
· Well versed with Microsoft Excel (Write, interpret, edit VB Macro, Create Pivots, Adv Calculation/Formulas), PowerPoint, SharePoint
· Well-versed in JIRA usage.
“Los Angeles California-based candidates are not eligible for this role”
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