Sr HR Product Data Analyst

Sr HR Product Data Analyst

Location:

Dallas, TX (Hybrid onsite) Duration: 12+ months

The Senior HR Product Data Analyst leads the design, delivery, and continuous improvement of advanced analytics solutions that enable strategic HR product decisions and enhance employee experiences. This role partners with Product Managers, technology teams, and business stakeholders to define enterprise data strategies, develop scalable reporting and analytical solutions, measure product performance, and provide actionable insights. The Senior HR Product Data Analyst applies advanced analytical expertise, deep HR data knowledge, and business acumen to solve complex business challenges, influence product strategy, and drive data-informed decision-making across HR products.

Lead complex analyses of HR product, workforce, and operational data to identify trends, risks, opportunities, and strategic insights

Partner with Product Managers, HR leaders, and stakeholders to define enterprise data strategies, success metrics, reporting requirements, and measurement frameworks

Design, develop, and maintain complex dashboards, scorecards, reports, and analytical solutions that support HR products and business objectives

Establish data quality standards and lead efforts to improve data integrity, governance, consistency, and reporting accuracy

Translate complex business problems into scalable analytical solutions, data models, and actionable recommendations

Lead the development and enhancement of HR product analytics capabilities, reporting frameworks, and data processes

Evaluate product performance, user adoption, operational effectiveness, and business outcomes using advanced analytical methodologies

Partner with Data & Reporting, HR Technology, and engineering teams to define data architecture, reporting strategies, and scalable analytics solutions

Lead the development and maintenance of data definitions, business rules, analytical methodologies, reporting standards, and documentation

Lead testing, validation, and quality assurance activities for complex reports, dashboards, and analytics solutions

Present analytical findings, trends, strategic recommendations, and executive-level insights to leaders and product teams

Identify opportunities to automate reporting, improve analytics processes, and increase self-service reporting capabilities

Mentor and provide guidance to less experienced analysts on analytical techniques, reporting standards, and best practices

Advanced knowledge of HR processes, workforce analytics, and business operations, including how data enables strategic decision-making and product performance

Advanced knowledge of data analysis methodologies, statistical concepts, reporting strategies, and performance measurement

Knowledge of HR technology platforms, enterprise systems, data architecture, and HR data models

Knowledge of data governance, data quality management, metadata, and reporting standards

Knowledge of dashboard design, data visualization best practices, and reporting techniques

Skill in leading complex data analyses to identify business trends, predictive insights, risks, and opportunities

Skill in translating complex business questions into scalable analytical solutions, metrics, reporting strategies, and data models

Skill in designing dashboards, scorecards, and visualization solutions that drive strategic decision-making

Skill in developing analytical frameworks that measure product success, adoption, operational effectiveness, and business outcomes

Skill in influencing cross-functional stakeholders through data storytelling, visualization, and presentations

Ability to lead multiple complex analytics initiatives with competing priorities and deadlines

Ability to influence business strategy through data-driven recommendations and executive insights

Ability to collaborate effectively across Product, HR, Technology, Data & Reporting, and business teams

Ability to identify data quality issues, determine root causes, and lead resolution efforts

Ability to mentor analysts and promote continuous improvement in reporting and analytical practices