Data Analyst - Workforce Analytics & Data Quality - Associate

EY•Hartford, DC

6d•$57,400 - $118,300

About The Position

As an Associate in the Data Analyst role within Fair Employment Practices Compliance (FEPC), you will be part of a focused data analytics team advancing the Firm’s nondiscrimination and employment compliance objectives. The role supports data review, preparation, validation, analysis, reporting, and technical execution across employment-practice workstreams, using data processing tools and systems to produce timely, accurate, complete, and clear outputs. You will help translate compliance and business questions into structured data requirements, repeatable processes, analytical outputs, documentation, and reporting routines. The work supports EEO-related reviews, government reporting, employment-practice analyses, data reconciliation, trend analysis, quality checks, stakeholder briefings, and related activities. You will collaborate with the analytics team and stakeholders across Talent, Recruiting, IT Systems, Risk Management, business functions, and other internal teams. Together, you will understand data sources and reporting requirements, evaluate data quality, identify outcomes and potential barriers, and present insights that support decision-making, compliance execution, and continuous improvement.

Requirements

Bachelor’s degree or equivalent work experience.
Approximately 1–3 years of related experience.
Professional experience, preferably in data analytics, HR data analysis, compliance analytics, risk management, reporting operations, data systems, or related business support roles.
Proficiency with Excel, including formulas, pivot tables, lookups, data validation, data modeling, and quality checks.
Ability to analyze and clearly present data and information to identify trends, anomalies, key issues, risks, dependencies, and implications for project and compliance priorities.
Experience developing repeatable workflows, control checks, documentation, reporting routines, data summaries, dashboards, and stakeholder-ready materials.
Strong interpersonal and communication skills, including the ability to ask effective questions, listen carefully, build credibility with stakeholders, and translate technical information for nontechnical audiences.

Nice To Haves

Experience with Excel macros or Power Query.
Degree concentration in Information Systems, Data Analytics, Business Analytics, or Business Administration/Management.
Experience with Alteryx, SQL, databases, data warehouses, reporting platforms, or other data processing and automation tools.
Strong data systems background, including the ability to understand data structures, source systems, joins, data lineage, field definitions, business rules, and reporting logic.
Introductory knowledge of nondiscrimination, employment compliance, EEO-related requirements, government reporting, HR data, or related employment and labor requirements.

Responsibilities

Perform data review, validation, reconciliation, and quality checks across employment-related datasets to support EEO-related reviews, government and other external reporting, and employment-practice initiatives.
Use Excel, Alteryx, SQL, and other data processing or reporting tools, in coordination with team standards, to collect, clean, transform, join, analyze, and document data from multiple systems and sources.
Develop and maintain repeatable data workflows, control checks, templates, queries, documentation, and reporting routines that improve consistency, accuracy, efficiency, and auditability.
Analyze and clearly present data and other information to identify significant trends, key issues, anomalies, risks, dependencies, and implications for compliance priorities and projects.
Partner with IT Systems, Talent, Recruiting, Risk Management, and business stakeholders to understand source systems, data definitions, data lineage, reporting logic, and business requirements.
Prepare data summaries, dashboards, reports, data review materials, stakeholder-ready presentations, and supporting documentation tailored to audience needs.
Identify data quality issues, process gaps, system limitations, and opportunities for improvement; propose credible options and support resolution with appropriate stakeholders.
Use relevant data, EY tools, approved AI tools, and other resources responsibly to improve work outcomes while maintaining accuracy, confidentiality, appropriate human review, and sound judgment.
Maintain up-to-date knowledge of relevant data tools, reporting methods, employment compliance concepts, and EY processes, sharing key learnings appropriately with analytics team members and colleagues.
Organize assigned analytical work to prioritize multiple internal and external stakeholders and produce complete, accurate, timely, and clear deliverables with limited supervision and in coordination with team priorities.