Senior Analyst - Business Insights

General Position Information

Reports directly to (Title): Manager, Advanced Analytics and Data Science

Matrix reports to (Title): As applicable based on HR Transformation Analytics portfolio, platform, product, or functional alignment

Direct Reports: Individual Contributor

Created / Last Revised: -

Job Summary

The Senior Analyst Business Insights leads higher-complexity work within the Human Resources Group (HRG), 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 Senior Analyst Business Insights supports HRG by turning HR, workforce, operational, product, and transformation data into clear insights, narratives, and recommended actions. This role partners with HR leaders, analytics teams, business stakeholders, product owners, process teams, and reporting partners to interpret trends, visualize data in a compelling way, identify risks and opportunities, and prepare insight materials for business reviews and decision-making.

The role bridges analytics and business context. It is responsible for asking the right questions, validating data interpretations, running statistical models, developing executive-ready insight summaries, and helping stakeholders understand what is happening, why it matters, and what actions should be considered.

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.
• Hypothesis testing, statistical analysis, data storytelling, and interpretation of findings

Insight Development Business Interpretation

• Analyze workforce, HR operations, transformation, product, and service data to identify patterns, root causes, risks, opportunities, and recommended actions.
• Develop insight narratives, business review materials, and executive summaries that translate data into practical decisions.
• Connect quantitative findings with qualitative inputs such as stakeholder feedback, operational context, process changes, and adoption signals.

Performance Monitoring Decision Support

• Support recurring business reviews, leadership updates, metric reviews, and portfolio performance discussions.
• Track performance against goals, baselines, service levels, adoption targets, and transformation outcomes.
• Highlight material changes, emerging trends, and data limitations that require leadership attention or deeper analysis.

Stakeholder Partnership Framing

• Work with business stakeholders to clarify the decision being supported, define the business question, and determine the most relevant metrics or evidence.
• Partner with reporting analysts, BI developers, data analysts, product analysts, and data owners to validate definitions, sources, and analysis outputs.
• Prepare presentations, briefing materials, storylines, and follow-up analysis for cross-functional audiences.

AI-Enabled Insight Generation

• Use approved AI tools to support hypothesis generation, pattern exploration, meeting synthesis, draft narratives, and alternative ways to explain findings.
• Validate AI-assisted summaries, avoid unsupported conclusions, and ensure recommendations are grounded in approved data and business context.

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.