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Data Analyst

  • Data Analyst job type Posted on: Nov 04, 2026
  • Data Analyst experience level Mastech
  • Data Analyst employment type Corning, New York
  • Data Analyst employment type Onsite
  • Data Analyst salary Full-time

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Job Title :

Data Analyst

Job Type :

Full-Time

Job Location :

Corning New York United States

Remote :

No

Jobcon Logo Job Description :

This role works closely with the ERP transformation data team, business leads, and key stakeholders to verify data accuracy, completeness, and alignment across deployment activities. The role combines hands-on data validation, profiling, cleansing, and analysis with the development of dashboards, reporting, and practical AI-enabled approaches that improve deployment readiness and business decision-making.Key ResponsibilitiesValidate that RTP data is accurately transferred during ERP deployment activitiesPartner with the ERP transformation data team, business leads, and users to confirm data requirements, validation criteria, priorities, and status updatesCollect data from primary and secondary sources and maintain relevant databases, files, and data systems that support validation and analysis activitiesDevelop and implement data collection processes, validation methods, and other strategies that improve data quality, consistency, and efficiencyFilter, cleanse, and review data using reports, reconciliations, and performance indicators to identify issues and improve reliabilityPerform data profiling to identify, investigate, and understand anomalies, gaps, inconsistencies, and data transfer risksMine and analyze large data sets to draw valid conclusions and support deployment and business decision-makingUse statistical and analytical tools to interpret data sets, with attention to trends, patterns, and insights that may support diagnostic or predictive analytics effortsDevelop dashboards, graphs, visualizations, exception reporting, and reconciliation tools that enable quicker and more effective data analysisApply AI-enabled approaches, where appropriate, to support faster issue identification, pattern detection, and insight generation across validation activitiesTranslate validation and analytical findings into clear updates, recommendations, and reporting for management and stakeholdersProactively identify trends, risks, and business improvement opportunities and make recommendations to stakeholdersContribute to stronger data quality, lower deployment risk, and more reliable RTP process outcomes across the ERP transformationRequired QualificationsEducation: Bachelor's degree in IT, Science, or Business5+ year's experience in the following;Experience in data validation, data analysis, ERP data support, or transformation-related rolesStrong ability to analyze complex data and identify inconsistencies, anomalies, gaps, and quality issuesExperience supporting ERP deployments, data migration, or system implementation activitiesUnderstanding of RTP processes and related business dataExperience developing dashboards, reports, validation tools, or analytical methods to improve data review and decision-makingExperience working with data profiling, cleansing, reconciliation, and trend analysisAbility to work effectively with technical teams, business stakeholders, and managementStrong problem-solving skills, attention to detail, and follow-throughStrong written and verbal communication skills

Jobcon Logo Position Details

Posted:

Nov 04, 2026

Reference Number:

10440_4477011183

Employment:

Full-time

City:

Corning

Job Origin:

APPCAST_CPC

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This role works closely with the ERP transformation data team, business leads, and key stakeholders to verify data accuracy, completeness, and alignment across deployment activities. The role combines hands-on data validation, profiling, cleansing, and analysis with the development of dashboards, reporting, and practical AI-enabled approaches that improve deployment readiness and business decision-making.Key ResponsibilitiesValidate that RTP data is accurately transferred during ERP deployment activitiesPartner with the ERP transformation data team, business leads, and users to confirm data requirements, validation criteria, priorities, and status updatesCollect data from primary and secondary sources and maintain relevant databases, files, and data systems that support validation and analysis activitiesDevelop and implement data collection processes, validation methods, and other strategies that improve data quality, consistency, and efficiencyFilter, cleanse, and review data using reports, reconciliations, and performance indicators to identify issues and improve reliabilityPerform data profiling to identify, investigate, and understand anomalies, gaps, inconsistencies, and data transfer risksMine and analyze large data sets to draw valid conclusions and support deployment and business decision-makingUse statistical and analytical tools to interpret data sets, with attention to trends, patterns, and insights that may support diagnostic or predictive analytics effortsDevelop dashboards, graphs, visualizations, exception reporting, and reconciliation tools that enable quicker and more effective data analysisApply AI-enabled approaches, where appropriate, to support faster issue identification, pattern detection, and insight generation across validation activitiesTranslate validation and analytical findings into clear updates, recommendations, and reporting for management and stakeholdersProactively identify trends, risks, and business improvement opportunities and make recommendations to stakeholdersContribute to stronger data quality, lower deployment risk, and more reliable RTP process outcomes across the ERP transformationRequired QualificationsEducation: Bachelor's degree in IT, Science, or Business5+ year's experience in the following;Experience in data validation, data analysis, ERP data support, or transformation-related rolesStrong ability to analyze complex data and identify inconsistencies, anomalies, gaps, and quality issuesExperience supporting ERP deployments, data migration, or system implementation activitiesUnderstanding of RTP processes and related business dataExperience developing dashboards, reports, validation tools, or analytical methods to improve data review and decision-makingExperience working with data profiling, cleansing, reconciliation, and trend analysisAbility to work effectively with technical teams, business stakeholders, and managementStrong problem-solving skills, attention to detail, and follow-throughStrong written and verbal communication skills

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