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 to read our candidate privacy information statement, which explains how we will use your information, please visit https: the company will consider qualified applicants with arrest and conviction records.

Resume:
<<summarylogical data analyst skilled in requirement analysis, software development and database management. self-directed and proactive professional with over 10 years of vast experience collecting, cleaning and interpreting data sets. natural problem-solver possessing strong cross-functional understanding of information technology and business processes. self-motivated data analyst offering over 10 years of leadership experience across various industries. methodical with significant experience in data mining and statistical analysis. excellent problem-solver with history automating processes and driving operational enhancements. skills data warehousingattention to detailreporting toolsdata qualitygap analysisreport writingdefect trackingdata modelingpython programmingstrong work ethicsimulation modelingflexible scheduleinformatica platformdata miningprocess improvementconfiguration managementsoftware development life cycle (sdlc)microsoft visiodata validationprocess mappingrequirements definitionsearch engine optimizationbusiness performance analysisstatistical analysisoracle business intelligenceproduct developmentanalytical problem solvingsequence diagramsenterprise application integrationproject managementtechnical writingdata analysistechnical analysisdata integrity validationdata science with r programmingclear and concise communicationusability testingbusiness managementbug life cycle (blc)database maintenancestatistics and sasmicrosoft accessreport preparationbusiness needs analysistableaudata visualization and presentationsdatabase managementquery toolsdata mapping education and trainingmercer universitymacon,gaexpected in 05/2013––master of science:science-gpa:university of ibadanibadan, nigeria,expected in 05/2004––bachelor of science:science-gpa: experience leidos- , 11/2022-currentgenerated reports and obtained data to develop analytics on key performance and operational metrics.worked with internal teams to understand business needs and changing strategies.conducted data analysis to prepare forecasts and identify trends.collected, tracked and reviewed data to evaluate business and market trends.utilized data analysis to monitor process efficiencies and identify data integrity exceptions.interacted with non-technical stakeholders to deliver analyses and answer questions on deliverables.audited internal data and processes to identify and manage initiatives, improving business performance.leveraged software to compile and model data.audited initial datasets to confirm validity of imported data, corroborating changes against updates in data tapes.recommended metrics and models based on observed trends.assisted integration of internal and external data tools and products, maintaining stability and performance across systems.synthesized business intelligence or trend data to support recommendations for action.provided technical support for existing reports, dashboards or other tools.analyzed and tracked data to prepare forecasts and identify trends.gathered and organized data to analyze current industry trends.maintained or updated business intelligence tools, databases or dashboards.generated standard or custom reports summarizing business, financial or economic data.identified needs of customers promptly and efficiently.managed diverse projects for data capture, storage and forecast analysis.collected, tracked and evaluated current business and market trend data.identified or monitored current and potential customers using business intelligence tools.managed timely flow of business intelligence information to users.assessed programs to identify risks or problems to determine appropriate responses.created or reviewed technical design documentation to drive accuracy of reporting solutions.analyzed competitive market strategies through related product, market or share trends.communicated with customers, competitors and suppliers to stay abreast of industry or business trends.maintained library of model documents, templates or other reusable knowledge assets.identified and analyzed industry or geographic trends with business strategy implications.synthesized current business intelligence or trend data to support recommendations for action.disseminated information regarding tools, reports or metadata enhancements.leidos- , 10/2018- 10/2022generated reports and obtained data to develop analytics on key performance and operational metrics.worked with internal teams to understand business needs and changing strategies.collected, tracked and reviewed data to evaluate business and market trends.utilized data analysis to monitor process efficiencies and identify data integrity exceptions.provided supporting information to substantiate research findings.assisted with efforts to track, evaluate and report on impact of programs using multiple data sources.audited initial datasets to confirm validity of imported data, corroborating changes against updates in data tapes.recommended metrics and models based on observed trends.assisted integration of internal and external data tools and products, maintaining stability and performance across systems.synthesized business intelligence or trend data to support recommendations for action.analyzed and tracked data to prepare forecasts and identify trends.provided technical support for existing reports, dashboards or other tools.identified needs of customers promptly and efficiently.generated standard or custom reports summarizing business, financial or economic data.managed diverse projects for data capture, storage and forecast analysis.identified or monitored current and potential customers using business intelligence tools.collected, tracked and evaluated current business and market trend data.disseminated information regarding tools, reports or metadata enhancements.synthesized current business intelligence or trend data to support recommendations for action.leidos- , 10/2013- 10/2018generated reports and obtained data to develop analytics on key performance and operational metrics.worked with internal teams to understand business needs and changing strategies.conducted data analysis to prepare forecasts and identify trends.utilized data analysis to monitor process efficiencies and identify data integrity exceptions.collected, tracked and reviewed data to evaluate business and market trends.provided supporting information to substantiate research findings.assisted with efforts to track, evaluate and report on impact of programs using multiple data sources.audited internal data and processes to identify and manage initiatives, improving business performance.leveraged software to compile and model data.disseminated information regarding tools, reports or metadata enhancements.synthesized current business intelligence or trend data to support recommendations for action.identified and analyzed industry or geographic trends with business strategy implications.