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Lead Commissioning Manager - Semiconductor Facility
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Operations - Process Manager - Sr
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Closed listing

Data Engineering Senior Analyst

Charleston, WV, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Posting language: English
Posted: Oct 21, 2026

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Original job description

Archived listing. The details below describe a past opening.

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

Position Summary:

The Data Engineering Senior Analyst enables Talent Insights & Analytics by designing, operating, and maintaining reliable data pipelines and analytics platforms, including Databricks, that support enterprise reporting, dashboards, and advanced analytics across the Talent ecosystem. This role provides hands-on data engineering and platform expertise, ensuring data availability, integrity, security, and performance, while partnering with Talent Delivery, IMT (Information Management Technology), Digital Talent, and reporting teams to support business-critical reporting and TIA transformation initiatives.

Essential Functions:

Data Engineering & Platform Operations
Design, build, and maintain robust data pipelines and transformations using Databricks, SQL, and enterprise ETL tools to support Talent reporting and analytics.
Develop and optimize Databricks notebooks and workflows for data ingestion, transformation, and enrichment.
Manage and support analytics platforms and environments (e.g., analytics sandbox, remote desktop environments, data storage, and associated services) in partnership with IT and TIA teams.
Ensure data reliability, performance, and scalability across production and non‑production environments.
Maintain a strong understanding of how Talent data flows across source systems, Databricks, and reporting layers, and advise teams on impacts of changes.
System & Change Management
Coordinate and support mass data, hierarchy, and organizational changes driven by Talent or structural transformations.
Partner with IMT and Talent Delivery teams to Support system upgrades, releases, and enhancements impacting Databricks pipelines, data models, and downstream reports.
Participate in User Acceptance Testing (UAT), validation, and post‑deployment support for data and reporting solutions.
Proactively assess and communicate impact of system or data changes on reports, dashboards, and analytics outputs.
Data Security, Privacy & Governance
Act as a subject matter expert on data security, access controls, and privacy considerations within Talent analytics platforms.
Support secure data access by ensuring appropriate role‑based access, data controls, and compliance with HR data privacy and legal requirements.
Serve as an escalation point for complex data access or security issues, partnering with operations and IT teams as needed.
Promote and support data governance, data quality, and standardization principles across TIA solutions.
Support to Reporting & Analytics Delivery
Enable reporting and analytics teams by ensuring data pipelines and sources are stable, accurate, and fit for purpose.
Support delivery of business‑critical reports and dashboards in line with agreed service levels.
Troubleshoot data issues, investigate defects, and manage incident resolution, root‑cause analysis, and remediation.
Track recurring issues and contribute to continuous improvement of data engineering and platform processes.
Stakeholder & Cross‑Team Collaboration
Work closely with Talent stakeholders, reporting teams, Talent Delivery, and IMT to understand data needs and translate them into technical solutions.
Act as a technical liaison between business users and technology teams for data‑related requirements and issues.
Contribute to documentation, knowledge sharing, and cross‑skilling initiatives to reduce single points of dependency.
Support TIA transformation by helping identify work that can be simplified, retired, or modernized

Analytical/Decision Making Responsibilities:

Analyse complex data and reporting requirements to determine optimal data sources, transformations, and delivery approaches.
Assess trade‑offs between speed, quality, risk, and sustainability when designing data solutions.
Identify risks related to data integrity, security, or scalability and proactively recommend mitigation actions.
Track requirements and defects for inclusion in future system releases or enhancements.

Technical & Functional Skills

Strong experience in data engineering and analytics environments, ideally within HR or Talent domains.
Hands‑on experience with Databricks (data pipelines, notebooks, jobs, workflows, performance tuning)
Proficiency in SQL and experience with SSIS, SSMS, or equivalent data integration and transformation tools.
Solid understanding of data architectures, ETL processes, data modelling and reporting ecosystems.
Knowledge of HR data, people metrics, and Talent processes (e.g., recruiting, learning, performance, workforce data).
Strong awareness of data privacy, information security, and data quality principles.

Supervision & Collaboration

Works closely with other data engineers, reporting analysts, and operations resources to ensure consistent and reliable delivery.
Builds and maintains effective working relationships with senior stakeholders across Talent, Digital, and Technology teams.
Contributes to mentoring, knowledge sharing, and strengthening team capability
Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment

Other Requirements:

Due to the global nature of the role, flexibility across time zones and occasional travel may be required. Excellent written and verbal English communication skills are essential.

Job Requirements:

Education:
Bachelor’s degree in data, Technology, Engineering, or a related field.
Master’s or higher professional qualification preferred, but not required
Certification Requirements:
Higher professional or master’s qualification in a related discipline is preferred, not required
Active membership in related professional bodies or industry groups is preferred, not required
Experience:
Significant experience in data engineering, data operations, or analytics platform support.
Hands‑on experience building and supporting data pipelines using Databricks in an enterprise analytics environment.
Proven SSIS & SSMS developmental experience
Experience supporting global teams and stakeholders across regions and time zones.
Demonstrated ability to anticipate issues, manage risk, and deliver outcomes under pressure and ambiguity.
Experience of conducting internal and external research and analysis, providing best practices and insights to drive improvements

What we offer you

The compensation ranges below are provided in order to comply with United States pay transparency laws. Other geographies will follow their local salary guidelines, which may not be a direct conversion of published US salary ranges. At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $85,200 to $159,300. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $102,200 to $181,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on-going basis.

For those living in California, please click here for additional information.

EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com .

About employer

More about this job

Skills

Data engineering
Databricks
Reporting
SQL
Data storage
Change management
Data models
Troubleshoot
Root cause analysis
Process improvement
Collaboration
Documentation
Decision making
SQL Server Integration Services
Data modelling
Recruitment
Coaching
Communication skills
Research

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