Consultant- Data Quality Analyst
- Genpact India
- 3 to 6 Yrs
- Bengaluru
- 4 years ago
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Job Description
*Data Quality Analyst
Function: Operations
Location: INDIA
With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world s biggest brands and we have fun doing it. Now, we re calling all you as rule-breakers and risk-takers who see the world differently and are bold enough to reinvent it. Come, join and transform with us.
Are you the one we are looking for
Inviting applications for the role of Data Quality Analyst
In this role, you would be part of the data integrity/analysis team in the Banking domain. You will be responsible to work with various system to check the ETL process, Data Reconciliation, and identify the gaps of Data loss. For these tasks, you would be encouraged to build automated validation framework via IDQ to validate the various rule-based scenarios of data processing. You will also need to understand the business ask/problem, assess the scope, quantity and quality of the available data, prepare and build the accurate reports including the pull of the data and the creation of analytics on top of the data.
Responsibilities
- Interact with client to understand requirements and provide adequate support
- Fetch data from various sources- mainframes/data warehouse, analyze and reconcile, produce reports as per client requirements
- Provide assistance for raising JIRA tickets and solve issues faced by end users
- Monitoring of transfer of tables from source A to B & publishing status dashboards
- Finding and Preventing loss of data while in transit
- Publishing the results of reconciliation to Microstrategy dashboard
- Data Certification by scorecarding via IDQ Analyst
- Trigger & Monitoring of incidents via JIRA
- Be able to work on complex SQL queries
- Ensure integrity of data and customer delight by giving appropriate levels of access to requested tools/channels by following business rules
- Data mapping and business rule and profiling experience
- Understanding of SAS codes and hands on over reporting via SAS Enterprise Guide
- Understanding of Impala codes, work over Hive and Unix on Data lake environment
- Experience over Agile methodology for day to day quality operations & controls
- Basic understanding of banking domain like Customers, Accounts, Relationships between customer and account, account classification for CRA
- Understanding of Financial Crimes Compliance
Qualifications we seek in you
Minimum qualifications
- Graduate/B.Tech/MCA/M.Tech
- Knowledge/exp. of Banking and Capital Markets is an added advantage for this position
Mandatory qualifications
- Experience on Datawarehouse and Data lake environment
- Knowledge of Data Modelling concept, dimensional model
- Expertise in complex DB SQL Queries
- Knowledge on HIVE/Hadoop environment
- Good understanding of ETL and IDQ frameworks
- Understanding of SAS codes over SAS Enterprise Guide
- Good interpersonal, problem solving and verbal communication skills
- Good to have experience on web/Data scrapping and transposing data from one form to other.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.
,Employement Category:
Employement Type: Full timeIndustry: IT - SoftwareRole Category: IT Operations / EDP / MISFunctional Area: Not ApplicableRole/Responsibilies: Consultant- Data Quality AnalystContact Details:
Company: Genpact IndiaLocation(s): Bengaluru
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Genpact (NYSE: G) is a global professional services firm focused on delivering digital transformation for our clients, putting digital and data to work to create competitive advantage. We do this by integrating lean principles, design thinking, analytics and digital technologies with our domain and ...
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