Wipro Technologies
Business System Analyst (Data Analytics)
Wipro Technologies, Mount Laurel, New Jersey, United States,
About Wipro:Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. We leverage our holistic portfolio of capabilities in consulting, design, engineering, operations, and emerging technologies to help clients realize their boldest ambitions and build future-ready, sustainable businesses. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 250,000 dedicated employees serving clients across 66 countries. We deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.Role:
Business System Analyst (Data Analytics)Work Location:
Mt Laurel, NJ (Hybrid)Required Skills:8-10 years of BSA experience in data analytics/data warehouse/data integration through agile environment.Strong experience in data analysis, profiling, clean-up, data wrangling and validation.Hands-on experience building data quality checks and writing complex SQL queries.Experience working in large scale Enterprise Data Lake ingestion and extraction projects.Experience working with Jira, Confluence, Bitbucket.Experience with Data Lake, Azure Data Factory, Data Bricks, python, Synapse/SQL Server, Analytics Zone, Azure Scheduler, Tableau, Power BI.Demonstrable experience with conceptual, logical and physical data modeling techniques.Strong analytical, organizational, and technical skills to analyze, model and interpret data.Knowledge with Solutions Development Life Cycle (SDLC) and structured methodologies including agile, waterfall and iterative.Work Experience in investigating, analyzing, estimating system applications in a large integrated solution environment.Proven experience with all stages of automated system implementation in complex solutions, with online and batch processing of transactions.Nice to Haves Skills:Solid knowledge of metadata management principles, metadata modeling and writing metadata definitions.Good understanding of data Security Classifications, Risk Assessment (TRMIS) guidelines.Proven experience with sprint facilitation, interpretation of business needs to technical requirements, facilitation of project meetings for reviews.Able to prioritize requirements, change requests for Business and work with Project team/Scrum Master in determining how best to address them.Experience with supporting legacy applications such as Mainframe, other on-prem applications and Migration of legacy solutions using COTS products.Experience in current state analysis through reverse engineering, identify source & downstream systems.Experience in conducting feasibility analysis, project scoping and providing project work estimates.Experience with requirements development involving requirements elicitation, analysis, specification and validation.Experience with documenting user stories, planning and managing product backlog, planning and managing sprints, and implementing in an iterative manner.Hand-on experience in capturing Data Lineage and Data Mapping between Source and Target systems.Demonstrated experience in the facilitation of project meetings for reviews.Experience in reporting progress of assignment(s) on a regular basis to Project Management and raise any issues / concerns and propose mitigation strategies.Experience with Production Support to investigate issues and propose solutions to fix them.Able to resolve issues in a timely manner, provide options and recommendations.AZ-900/DP-900 certifications preferred.Compensation:
The potential compensation for this role is based on labor costs in local markets, as well as the job-related skills, knowledge, and experience of the candidate. Expected base pay for this role ranges from [$60,000] to [$135,000]. Based on the position, the role is also eligible for Wipro’s standard benefits and additional compensation offerings, including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options as well as potential incentive or variable compensation.Equal Employment Opportunity:
Wipro is an Equal Employment Opportunity employer and makes all employment and employment related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law.
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Business System Analyst (Data Analytics)Work Location:
Mt Laurel, NJ (Hybrid)Required Skills:8-10 years of BSA experience in data analytics/data warehouse/data integration through agile environment.Strong experience in data analysis, profiling, clean-up, data wrangling and validation.Hands-on experience building data quality checks and writing complex SQL queries.Experience working in large scale Enterprise Data Lake ingestion and extraction projects.Experience working with Jira, Confluence, Bitbucket.Experience with Data Lake, Azure Data Factory, Data Bricks, python, Synapse/SQL Server, Analytics Zone, Azure Scheduler, Tableau, Power BI.Demonstrable experience with conceptual, logical and physical data modeling techniques.Strong analytical, organizational, and technical skills to analyze, model and interpret data.Knowledge with Solutions Development Life Cycle (SDLC) and structured methodologies including agile, waterfall and iterative.Work Experience in investigating, analyzing, estimating system applications in a large integrated solution environment.Proven experience with all stages of automated system implementation in complex solutions, with online and batch processing of transactions.Nice to Haves Skills:Solid knowledge of metadata management principles, metadata modeling and writing metadata definitions.Good understanding of data Security Classifications, Risk Assessment (TRMIS) guidelines.Proven experience with sprint facilitation, interpretation of business needs to technical requirements, facilitation of project meetings for reviews.Able to prioritize requirements, change requests for Business and work with Project team/Scrum Master in determining how best to address them.Experience with supporting legacy applications such as Mainframe, other on-prem applications and Migration of legacy solutions using COTS products.Experience in current state analysis through reverse engineering, identify source & downstream systems.Experience in conducting feasibility analysis, project scoping and providing project work estimates.Experience with requirements development involving requirements elicitation, analysis, specification and validation.Experience with documenting user stories, planning and managing product backlog, planning and managing sprints, and implementing in an iterative manner.Hand-on experience in capturing Data Lineage and Data Mapping between Source and Target systems.Demonstrated experience in the facilitation of project meetings for reviews.Experience in reporting progress of assignment(s) on a regular basis to Project Management and raise any issues / concerns and propose mitigation strategies.Experience with Production Support to investigate issues and propose solutions to fix them.Able to resolve issues in a timely manner, provide options and recommendations.AZ-900/DP-900 certifications preferred.Compensation:
The potential compensation for this role is based on labor costs in local markets, as well as the job-related skills, knowledge, and experience of the candidate. Expected base pay for this role ranges from [$60,000] to [$135,000]. Based on the position, the role is also eligible for Wipro’s standard benefits and additional compensation offerings, including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options as well as potential incentive or variable compensation.Equal Employment Opportunity:
Wipro is an Equal Employment Opportunity employer and makes all employment and employment related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law.
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