Customer Success Technical Solutions - Analyst III

About the role

Mitsubishi Heavy Industries America, Inc. (MHIA) is looking for a Customer Success Technical Solutions Analyst III to join our team. This is an onsite role based out of our Houston Headquarters located in the Galleria District.

For over 130 years Mitsubishi Heavy Industries (MHI) Group’s innovative and integrated solutions have demonstrated our commitment to creating a positive social impact around the globe. Our range of products and services are tailored to meet our customers’ evolving needs across the commercial aviation, energy, transportation and infrastructure, machinery, defense and space systems sectors. Our culture embraces diversity and cooperation, and we promote a healthy balance of professional and personal development, ensuring that your ideas and expertise are valued and respected.

Responsibilities

• Create HRIS system integrations between existing platforms and ancillary systems and provide ongoing integration maintenance and technical support.
• Perform analysis, configuration, and documentation; require in-depth knowledge of data flowing through APIs or other middleware platforms.
• Develop and upgrade integrations to and from multiple systems through various middleware software.
• Analyze existing systems to identify integration points and gaps, design integration flows, and define data mapping requirements.
• Support application configuration, add-on modules, upgrades, enhancements, and testing.
• Support the design and configuration of seamless inbound and outbound data flows for multiple systems.
• Maintain integration performance and maintenance schedules.
• Partner with IT groups for integration change requests.
• Manage Single Sign-On (SSO) setup and configuration.
• Diagnose integration alerts and determine resolutions.
• Oversee the documentation of requirements, development, implementation, and testing of new or redesigned systems, reports, and procedures for HR to ensure efficient business processes.
• Maintain a thorough, efficient, and accurate HRIS database.
• Analyze software releases to assess the impact of new features and ensure alignment with organizational goals, efficiency improvements, and minimal disruption.
• Design and execute test plans for new integrations and system changes.
• Validate data accuracy and functionality through user acceptance testing (UAT) and regression testing.
• Manage the end-to-end HR data reporting processes, including data compilation, analysis, visualization tools, and strategic reporting to support executive decision-making and HR operations.
• Design and deliver clear, actionable reports and dashboards using Power BI, tailored for leadership and operational teams.
• Establish processes for tracking, trending, and monitoring key HR metrics using automated and manual tools.
• Apply HR analytics methodologies to uncover workforce trends, support predictive modeling, and drive data-informed talent strategies.
• Conduct in-depth analysis of HR data to identify trends, gaps, and opportunities for improvement in workforce strategies.
• Partner with internal stakeholders and external vendors to develop, document, and maintain standardized reporting processes and templates.
• Utilize SQL for data querying and Excel for advanced data manipulation; ensure efficient and accurate data processing.
• Provide data-related support to HR leadership and cross-functional teams, contributing to projects and initiatives requiring analytical expertise.
• Collaborate in a team environment and independently with vendors, business partners, and technology teams on projects, support activities, application development, and standardization.
• Collaborate with stakeholders to document business processes and user flows and analyze input from product owners to create and design solutions to help solve business problems.
• Support the review of integration designs, test scripts, and documentation created by junior analysts to ensure consistency, accuracy, and alignment with standards.
• Assist in knowledge transfer to team members to equip them with the necessary knowledge and tools.
• Analyze HR processes and make recommendations for improvements using technology.
• Work with the wider HRIS team and HR staff to consolidate data models and drive process decisions.
• Find and resolve HRIS problems by comparing data from different sources to create solutions.
• Create and maintain process documentation and provide training to advanced users.

Requirements

• Bachelor’s degree in business administration, HR, Information Technology, Computer Science, or an equivalent combination of education/experience/certifications.
• At least six (6) years of experience as an HRIS Analyst, Business Systems Analyst, or similar technical role.
• Experience with SuccessFactors, UKG Pro Suite or other HRIS and Time and Labor systems.
• Experience with complex integrations across multiple systems and vendor platforms.
• Experience with REST APIs and middleware platforms such as CPI or Boomi, including designing, testing, and maintaining API-based integrations for HR and enterprise applications.
• Understanding of SFTP, XML, JSON, and WSDL for data exchange.
• Experience with XML and JSON parsing for data transformation and automation.
• Knowledge of programming languages like XSLT, SQL, and XML.
• Working knowledge of SQL Server, BusinessObjects, Microsoft Access, and SSIS, including data normalization, query writing, and creating views to support reporting needs.
• Understanding of data warehousing concepts, including data marts, OLAP, ROLAP, MOLAP, and related technologies.
• Proficiency in developing BI reports to support data analytics and reporting.
• Strong understanding of data structures, mapping, and transformation logic.
• Strong analytical skills that translate business requirements into technical/functional specifications.
• Strong technical proficiency required, including Microsoft Office products.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Strong foundation in Human Resources principles and data flows.