Analyst I - Transformation

Job Summary

The Analyst I - Transformations leads higher-complexity work within HR Transformation Analytics, owning major deliverables, improving delivery quality, and translating business, data, technology, product, or process needs into reliable outcomes. This role operates with greater independence than the unprefixed level and is expected to lead workstreams, resolve ambiguity, mentor peers, and manage stakeholder expectations across HR, analytics, technology, operations, and transformation partners.

The Product Analyst supports HR Transformation Analytics by measuring how HR products, tools, portals, workflows, automations, and analytics experiences are used and whether they deliver intended outcomes. This role partners with product owners, business analysts, BI developers, data analysts, change managers, and HR stakeholders to track adoption, usage, feature effectiveness, user friction, and value realization.

The role is responsible for product performance reporting, usage analysis, funnel analysis, experiment measurement, dashboard requirements, and product insight generation. Success requires product thinking, analytical discipline, stakeholder communication, and responsible use of AI-enabled product analytics tools.

Responsibilities

Senior-Level Ownership Delivery Leadership

• Lead complex deliverables, workstreams, analyses, designs, builds, or implementation activities with limited oversight.
• Translate ambiguous stakeholder needs into clear scope, success measures, requirements, plans, technical outputs, or recommendations.
• Review deliverables for accuracy, usability, governance alignment, stakeholder readiness, and business value before release or handoff.
• Mentor less experienced team members by sharing standards, reviewing work, and reinforcing documentation, testing, and delivery discipline.
• Identify delivery risks, data or process limitations, technical dependencies, and stakeholder alignment issues early and recommend practical mitigation actions.

Product Usage Adoption Analytics

• Track product adoption, active usage, feature utilization, completion rates, drop-offs, engagement patterns, and user segments.
• Analyze user journeys, friction points, workflow bottlenecks, and behavior patterns across HR digital products and analytics experiences.
• Develop product performance summaries that help teams understand what is working, what is not, and what should be improved.

Measurement, Experimentation Value Tracking

• Support product KPI definitions, success measures, baselines, adoption targets, and post-release performance tracking.
• Analyze pilots, releases, experiments, enhancements, and process changes to determine impact and value delivered.
• Partner with product owners and analysts to translate findings into roadmap recommendations and prioritization inputs.

Dashboard, Data Stakeholder Partnership

• Define analytics requirements for product dashboards, event tracking, data capture, and reporting views.
• Validate product data, document definitions, and identify gaps in telemetry, source systems, or user feedback.
• Communicate insights to product, transformation, operations, change, and leadership stakeholders in a clear and action-oriented manner.

AI-Augmented Product Analytics

• Use approved AI tools to support feedback clustering, insight drafting, product question framing, experiment summaries, and user behavior hypotheses.
• Validate AI-assisted findings against product data, user feedback, and business context before making recommendations.
• Identify opportunities to embed AI-assisted insight, self-service analytics, or intelligent product experiences into HR products.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.