Mastech

Data Analyst

Corning, New York, US

Role snapshot

Mastech is hiring a Data Analyst on a full-time basis. This is a role based in Corning, New York, US.

Company
Mastech
Location
Corning, New York, US
Job type
Full-time
Experience
5+ years
Posted
Oct 21, 2026

Who this role suits

Practitioners with a few years behind them who can work independently, make trade-offs and help newer teammates.

How to prepare your application

  • Prepare examples of decisions you drove, how you measured the result, and how you worked with other teams.
  • Be ready to discuss trade-offs and scope, not only the tools you have used.
  • Read what Mastech publishes about its product or team, so you can say clearly why this role and this company.

Apply only on Mastech's own site. A genuine employer never asks candidates for money, deposits or bank details to apply, interview or “secure” a job. If something looks wrong, use Report a problem with this listing and we will review it. Read how we check listings.

About the role

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 Responsibilities

  • Validate that RTP data is accurately transferred during ERP deployment activities
  • Partner with the ERP transformation data team, business leads, and users to confirm data requirements, validation criteria, priorities, and status updates
  • Collect data from primary and secondary sources and maintain relevant databases, files, and data systems that support validation and analysis activities
  • Develop and implement data collection processes, validation methods, and other strategies that improve data quality, consistency, and efficiency
  • Filter, cleanse, and review data using reports, reconciliations, and performance indicators to identify issues and improve reliability
  • Perform data profiling to identify, investigate, and understand anomalies, gaps, inconsistencies, and data transfer risks
  • Mine and analyze large data sets to draw valid conclusions and support deployment and business decision-making
  • Use statistical and analytical tools to interpret data sets, with attention to trends, patterns, and insights that may support diagnostic or predictive analytics efforts
  • Develop dashboards, graphs, visualizations, exception reporting, and reconciliation tools that enable quicker and more effective data analysis
  • Apply AI-enabled approaches, where appropriate, to support faster issue identification, pattern detection, and insight generation across validation activities
  • Translate validation and analytical findings into clear updates, recommendations, and reporting for management and stakeholders
  • Proactively identify trends, risks, and business improvement opportunities and make recommendations to stakeholders
  • Contribute to stronger data quality, lower deployment risk, and more reliable RTP process outcomes across the ERP transformation

Required Qualifications

  • Education: Bachelor's degree in IT, Science, or Business
  • 5+ year's experience in the following;
  • Experience in data validation, data analysis, ERP data support, or transformation-related roles
  • Strong ability to analyze complex data and identify inconsistencies, anomalies, gaps, and quality issues
  • Experience supporting ERP deployments, data migration, or system implementation activities
  • Understanding of RTP processes and related business data
  • Experience developing dashboards, reports, validation tools, or analytical methods to improve data review and decision-making
  • Experience working with data profiling, cleansing, reconciliation, and trend analysis
  • Ability to work effectively with technical teams, business stakeholders, and management
  • Strong problem-solving skills, attention to detail, and follow-through
  • Strong written and verbal communication skills