Key Responsibilities and Required Skills for Vocational Training Analyst

🎯 Role Definition

The Vocational Training Analyst is the analytical heart of our Learning and Development (L&D) function. This role is pivotal in transforming raw training data into strategic insights that drive tangible business outcomes. You'll be a key player in ensuring our workforce is equipped with the right skills at the right time by meticulously evaluating the effectiveness, impact, and ROI of our vocational training programs. This position bridges the gap between our learning initiatives and our strategic business goals, using data to tell the story of employee growth and organizational capability. You are not just a number cruncher; you are a strategist, an investigator, and a consultant who helps shape a culture of continuous improvement and data-informed decision-making within the L&D space.

📈 Career Progression

Typical Career Path

Entry Point From:

HR Coordinator with an analytical focus
Training or L&D Coordinator
Junior Data Analyst or Business Analyst

Advancement To:

Senior Vocational Training Analyst
Learning & Development Manager
Workforce Planning & Analytics Manager

Lateral Moves:

HR Business Partner
Instructional Designer
People Analytics Specialist

Core Responsibilities

Primary Functions

Conduct comprehensive training needs analyses (TNA) across various departments to identify critical skill gaps and learning opportunities that align with current and future business objectives.
Design, deploy, and analyze surveys, focus groups, and interviews to gather both qualitative and quantitative data on employee learning needs and overall program satisfaction.
Analyze and interpret complex datasets related to training program attendance, completion rates, and assessment scores to rigorously measure learning effectiveness and knowledge acquisition.
Develop and maintain dynamic dashboards and insightful reports using data visualization tools (like Tableau or Power BI) to communicate key training metrics and ROI to stakeholders.
Evaluate the direct business impact of training initiatives by correlating learning outcomes with key performance indicators (KPIs) such as productivity, quality improvements, and employee retention.
Manage and serve as a subject matter expert for the Learning Management System (LMS), ensuring data integrity, optimal course functionality, and the accurate tracking of all learning activities.
Collaborate closely with Instructional Designers and Subject Matter Experts (SMEs) to provide data-driven recommendations for curriculum development, content refinement, and learning pathway optimization.
Assess the effectiveness, quality, and suitability of external training vendors and programs, providing detailed analyses and data-backed recommendations for procurement and partnership decisions.
Develop predictive models to forecast future training demands based on organizational growth plans, technological shifts, and strategic workforce planning initiatives.
Create and manage a consistent, scalable framework for evaluating all vocational training programs, establishing clear benchmarks for success and a cycle of continuous improvement.
Translate complex data findings into compelling narratives and actionable insights for non-technical audiences, including senior leadership and HR business partners, to drive strategic decisions.
Continuously monitor industry trends, best practices, and emerging technologies in vocational training and learning analytics to ensure our programs remain innovative and competitive.
Support the L&D budget planning and forecasting process by providing detailed, data-backed cost-benefit analyses for proposed training investments and resource allocation.
Perform regular audits of training records and LMS data to ensure full compliance with internal company policies and external regulatory requirements.
Partner with IT and HRIS teams to troubleshoot technical issues within the LMS and other learning technologies, championing a seamless and positive user experience.
Develop and implement targeted communication plans to effectively promote new training programs and drive employee engagement with available learning opportunities.
Analyze post-training performance data and on-the-job application of skills to identify areas where learning is not successfully transferring and recommend targeted interventions.
Lead A/B testing initiatives for different training modalities (e.g., e-learning vs. virtual instructor-led) to determine the most effective delivery methods for specific learner groups and content.
Create and maintain detailed documentation for data analysis processes, reporting standards, and LMS administrative procedures to ensure consistency and facilitate knowledge sharing.
Serve as the primary point of contact for all data-related inquiries from the Learning & Development team, providing timely, accurate, and consultative analytical support.
Champion a data-driven culture within the L&D team by training colleagues on how to access, interpret, and utilize learning analytics in their respective roles.

Secondary Functions

Support ad-hoc data requests and exploratory data analysis from various business leaders.
Contribute to the organization's broader people analytics strategy and data governance roadmap.
Collaborate with business units to translate their unique data needs into technical and engineering requirements.
Participate in sprint planning and agile ceremonies within the broader HR and data analytics teams.

Required Skills & Competencies

Hard Skills (Technical)

Advanced Data Analysis: High proficiency in Microsoft Excel (pivot tables, complex formulas, Power Query) and experience writing SQL queries to extract and manipulate data from relational databases.
Data Visualization: Proven ability to create compelling and easy-to-understand dashboards and reports using tools like Tableau, Power BI, or similar platforms.
LMS Administration: Hands-on experience managing and extracting data from a major Learning Management System (e.g., Cornerstone OnDemand, Workday Learning, Docebo).
Survey & Assessment Tools: Expertise in designing, deploying, and analyzing results from survey platforms like Qualtrics, SurveyMonkey, or Google Forms.
Statistical Knowledge: Foundational understanding of statistical concepts for measuring program impact and effectiveness. Experience with R or Python for statistical analysis is a strong plus.
Project Management: Ability to manage multiple analytical projects simultaneously, from intake to final delivery, ensuring deadlines are met.

Soft Skills

Analytical & Critical Thinking: An innate ability to look at data and processes with a critical eye, identify patterns, and ask the right questions to uncover root causes.
Storytelling with Data: The capacity to translate complex quantitative and qualitative data into a clear, concise, and compelling narrative for diverse audiences.
Stakeholder Management: Excellent interpersonal skills with a proven ability to build relationships, manage expectations, and communicate effectively with individuals at all levels of the organization.
Meticulous Attention to Detail: A commitment to data accuracy and integrity, ensuring that reports and analyses are precise and reliable.
Collaborative Problem-Solver: A team player who thrives on working with others to solve complex challenges and improve processes.

Education & Experience

Educational Background

Minimum Education:

Bachelor's Degree from an accredited university or college.

Preferred Education:

Master’s Degree in a relevant field.

Relevant Fields of Study:

Human Resources
Industrial-Organizational Psychology
Data Analytics or Business Analytics
Education or Adult Learning
Business Administration

Experience Requirements

Typical Experience Range:

3-5 years of direct experience in a training, learning & development, people analytics, or data analysis role.

Preferred:

Prior experience within a corporate L&D environment, specifically analyzing vocational, technical, or skills-based training programs. Demonstrable experience linking training data to tangible business KPIs.