For the given job description <<( Candidates without any Visa Constraints) ( Local to Pittsburgh, PA will be preferred, but willing to re-locate candidates will be considered)
Project: Business Analyst lllLocation: Pittsburgh, PA ( 3 days Week) Client: BNY Mellon Job Id: 70732-1Job Duration: 4-6 Month CTH
 Enterprises Data Governance Under Data Quality project.Regulatory reporting and KYC Screening is part of the project.Data Quality rules working with Data Lakes.Analytics Data is in the play.Min 8-12 years of working experience in the Data Quality field. Tools: Collibra, Jira, Confluence, and Soft skills in SQL is good.The location is Pittsburgh, PA, for Three days Week in the Hybrid model.One round of Interviews.Data Analyst  Business Analyst kind of role:Top 3 Skills: Data Quality Model, Working with Matrix, Data AnalysisPittsburgh, PA, is the primary location, but we will also consider Lake Mary, FL Data Governance and Data Quality with Testing experience in the field is preferred. Team Size is eight members, and looking for new expansions.Preferred financial services but not looking for a big client. But the small client financial services experience is welcome. 
 Equal Opportunity EmployerVeteransDisabled
Benefits include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary, commuter benefits, and a 401K plan. Our program allows employees to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hires to a client
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The Company will consider qualified applicants with arrest and conviction records.>> the resume: <<SummaryA results driven, detail-oriented data professional with a variety of roles in business and technology. Experience includes Data Quality & Governance across different dimensions within data driven environments. Resourceful, self-starter with a proven track record of effectively working with cross-functional teams to develop and implement data strategies.
EducationExpected in2018totoBachelor of Arts|Computer ScienceQueens College of the City University of New York,Flushing,NYGPA:Expected in2009totoHigh School Diploma|Martin Van Buren High School,Queens Village,NYGPA:
Experience09/2021toCurrentData Quality AnalystIllumina|IL,State,Drive adoption of Collibra to provide users with a tool to foster data democratization. This includes an organizationally accepted Business Glossary, Data Catalogue, Data Dictionary, the ability to explore Data Lineage for Tableau-based dashboards, and a single source of truth.Perform User Acceptance & Regression Tests on Google Cloud Platform's BigQuery data using SQL scripts (i.e. test functionality, performance and solution of new product requests to maintain strong development standards and high stakeholder satisfaction).Gain a deep understanding of Peacock's data pipeline to comprehend the data flow and identify transformations from source to target.Perform in-depth exploration of causes, trends, opportunities, and actions required to improve data quality of key metrics, KPIs, and additional data centric dashboards.Provide ad hoc analysis to support data team, business units, and key stakeholders for complex data quality questions.Partner with stakeholders and implementation specialist during the data onboarding phase on various projects, providing analysis and sharing best practices.Evaluate large datasets using BigQuery to determine quality and accuracy; proactively identifying, addressing and resolving reconcilable discrepancies through daily/weekly/quarterly data analysisImprove data quality across products and projects by collaborating and working closely with engineering, management, product, business teams and other required team, contributing directly to development by participating in feedback sessions.Define and operationalize processes to continuously monitor and quality check data completeness and accuracy.Develop a complete inventory of data clean up reports, defining the cadence for producing them and addressing uncovered issues.07/2019to09/2021Enterprise Data Steward AssociateOnemain (Formerly Springleaf & Onemain Financials).|Conyers,GA,Acted as a liaison between non-technical & technical stakeholders within cross-functional teams to gather business requirements for data solutions.Managed a monthly Data Quality process that helped identify Data Quality anomalies.Analyzed, queried and manipulated data using SQL to define business rules and best practices. This included writing Data Quality rules to add into SQL Server Management Studio (SSMS) and execute as part of our Data Quality monthly process.Compiled and presented monthly/quarterly reports to management to showcase number of identified data anomalies and remediation progress.Performed manual and automated tests on applications and submitted reports.Developed process improvements to enhance overall Data Quality.Collaborated closely with Business Process Owners and Data/Technology Stewards to promote team-oriented approach in Data Quality remediation.Participated in technical trainings and workshops to improve skills set and boost overall knowledge.Analyzed issues and recommended corrective actions to improve final results.Outlined remediation plans to standardize results to meet compliance regulations.Executed test scripts using SQL to compare specifications and comply with stakeholder requirements.Researched and established root cause to data issues.09/2018to07/2019Database/Data Entry SpecialistWinHolt Equipment Group|City,STATE,Assisted with the implementation of a new database system running on SQL Server called EpicorCollaborated with IT and Engineering department in order to integrate key information including but not limited to manufactured items, parts and materials from prior database system, known as AS-400, into EpicorMaintained data integrity by normalizing tables to avoid redundant and duplicate dataImproved reliability of supply chain software, systems, database and order processingAssessed department needs and goals through communication and system evaluations to modify existing databases for personalized customization11/2017to09/2018Administrative AssistantAchieve Beyond|City,STATE,Maintained database by updating child files with their C.L.A.I.M.S. softwareVerified that information in the computer system was up-to-date and accurateCreated pivot tables in Excel to view statistical information for unpaid servicesCreated monthly reports using ReportViewerIdentified and resolved system and account issuesOrganized files, developed spreadsheets, faxed reports and scanned documents>>. The result is, No Fit

Fit assessment: No Fit