Analytics
I leverage HR predictive analytics and employee listening strategies to proactively shape workforce decisions, improve engagement, and drive organizational success. By combining data-driven insights with real-time employee feedback, I help organizations anticipate challenges, optimize talent strategies, and create a more engaged and resilient workforce.
Work Samples
For each work sample below, you'll find a brief overview of the company, the objectives I was tasked with, a selection of key actions I took, and examples of the resulting impact
-
A 15,000-employee automotive supplier aiming to transition from a traditional annual engagement survey to a more agile, dynamic voice-of-the-employee strategy to better capture and respond to real-time employee feedback.
-
Design and implement a comprehensive employee listening strategy enabling leaders to capture, analyze, and act on employee feedback to foster engagement, improve workplace culture, and drive organizational success.
-
Assessed existing feedback channels, if any, to identify gaps and opportunities.
Conducted initial focus groups and interviews to gather baseline insights on employee concerns and priorities.
Designed a listening strategy that includes a mix of methods such as:
Surveys: Regular pulse surveys, engagement surveys, and exit surveys.
Focus Groups: In-depth discussions with employee groups.
Feedback Channels: Anonymous digital platforms, or town halls.
Ensured the framework accommodates the diverse needs of employees across roles, levels, and locations.
Identified and implemented tools or platforms to collect, analyze, and visualize feedback data effectively.
Established processes to regularly analyze feedback, identify trends, and prioritize actionable insights.
Created clear, accessible reports to share findings with leadership and employees, ensuring transparency.
Scheduled regular reviews of the listening strategy to ensure it remains relevant and effective.
Gathered employee feedback on the strategy itself to refine and enhance it over time.
-
Stronger Communication: Enhanced trust and transparency between employees and leadership through regular feedback loops.
Improved Employee Engagement: Increased engagement scores as employees feel heard and valued through structured feedback mechanisms.
Enhanced Workplace Culture: A stronger, more inclusive culture driven by actionable insights from employee feedback.
Better Decision-Making: Leadership decisions are informed by real-time data on employee needs and concerns.
Employee Listening | Example 1
-
A large global retailer with disparate data sources, heavily reliant on manual Excel-based reporting, seeking to streamline and enhance data integration and analytics capabilities.
-
To design and implement a Tableau-based HR data visualization system that enables leaders to quickly analyze workforce trends, identify key insights, and make informed, data-driven decisions related to talent management, employee engagement, and workforce planning.
-
Met with key stakeholders (HR, business leaders, and IT) to understand critical HR metrics and decision-making pain points.
Identified the most important KPIs and data sources (e.g., turnover, engagement, diversity, talent pipeline, performance).
Created interactive, user-friendly dashboards tailored to different leadership levels.
Ensured dashboards include real-time visualizations, drill-down capabilities, and trend analysis.
Built role-based views (e.g., executive, HR, department managers) to show relevant data.
Trained HR teams and business leaders on how to navigate and interpret Tableau dashboards.
Monitored dashboard usage and collect feedback for enhancements.
Established a governance process to ensure data integrity and security.
-
Faster, Data-Driven Decision-Making: Leaders can now quickly access real-time workforce insights to make informed hiring, retention, and development decisions.
Improved Talent Strategy: Enhanced visibility into high-potential employees, succession planning gaps, and turnover risks enables proactive leadership actions.
Stronger Workforce Planning: HR can forecast hiring needs, skill gaps, and workforce trends with greater accuracy.
Data Visualization via Tableau | Example 1
-
A 6,000-employee business-to-consumer retail brand with 35 locations across the United States. At the time, had an overall employee engagement score of 68%.
-
Implement OneModel as a centralized, single source of truth for workforce data, consolidating disparate data sources to provide leaders with real-time, actionable insights. Also, integrate predictive analytics, enabling data-driven workforce planning, talent management, and organizational decision-making.
-
Engaged HR, IT, and business leaders to define key reporting needs, pain points, and expected outcomes.
Identified critical HR metrics and KPIs that will drive decision-making.
Established data governance standards to ensure accuracy, consistency, and security.
Built custom dashboards that provide leaders with real-time workforce insights (e.g., turnover trends, engagement scores, headcount forecasting).
Developed self-service analytics capabilities, allowing leaders to access relevant workforce data easily.
Conducted user testing and feedback sessions to refine dashboard usability.
Provide training sessions for HR teams and business leaders on how to navigate and interpret OneModel insights.
Developed training materials and best practices for data-driven decision-making.
Implemented a communication strategy to drive adoption and ensure leadership buy-in.
Identifed predictive analytics use cases, such as turnover risk modeling, talent pipeline forecasting, and workforce planning.
Developed and test predictive models to provide insights into future workforce trends.
Set up regular data audits to ensure continued accuracy and alignment with business needs.
Established feedback loops with leaders to refine dashboards and predictive insights.
-
Single Source of Truth: Leaders have access to accurate, real-time workforce data in one centralized system, reducing reliance on manual reports.
Faster, Data-Driven Decision-Making: Improved HR analytics capabilities allow for quick identification of workforce trends and challenges.
Predictive Workforce Insights: In 12 months, leadership gains the ability to forecast turnover risks, talent gaps, and workforce planning needs.