Publié il y a 13 jours
HR Analytics & Compensation Analyst
@ General Dynamics Land Systems–Canada
London, Ontario
SIGNAUX
En bref
General Dynamics Land Systems–Canada is hiring a full-time HR Analytics & Compensation Analyst to turn HR and market data into actionable insights. The role combines HR analytics, data engineering and AI-based automation with compensation and total rewards work. Prior compensation experience is an asset, while a strong analytics background is the main requirement.
Responsabilités :
- Build HR dashboards, reports and data pipelines in Excel, Power BI or Tableau
- Automate legacy spreadsheets and HR processes using AI and automation tools
- Benchmark compensation against market survey data and prepare recommendations
- Administer the annual salaried compensation process in SuccessFactors
Résumé des exigences :
- Bachelor's degree in analytics, statistics, business, HR or related field
- 3–5 years in data-driven roles, preferably HR or workforce analytics
- Proficiency in Excel and Power BI
- Interest in or experience with generative AI tools
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-10-31
- Première détection par notre source
- 2026-11-14
- Mise à jour du dossier source
- 2026-11-14
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Ressources humaines |
| Expérience | 3 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
| Domaines d’études | Data Analytics, Statistics, Computer Science, Mathematics, Economics |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
General Dynamics Land Systems–Canada
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 2 |
Description
Description
HR Analytics & Compensation Analyst
Overview
We are seeking a detail-oriented, data-focused professional to support our compensation programs and broader HR analytics.
In this HR Analytics & Compensation Analyst role, you will apply your strong analytical and technical skills while developing and leveraging any compensation and total rewards knowledge.
You will help modernize our compensation structure, automate manual processes, and use analytics and AI tools to improve the quality and speed of HR insights. Your work will turn market and internal workforce data into clear, actionable information for HR and leaders across the organization.
While prior compensation experience is an asset, we are particularly interested in candidates with a strong analytics background who are interested in deepening their expertise in compensation and total rewards while advancing HR processes and automation, data engineering, and analytics.
Key Responsibilities
HR Analytics, Data Engineering & AI Automation
HR Analytics & Compensation Analyst
Overview
We are seeking a detail-oriented, data-focused professional to support our compensation programs and broader HR analytics.
In this HR Analytics & Compensation Analyst role, you will apply your strong analytical and technical skills while developing and leveraging any compensation and total rewards knowledge.
You will help modernize our compensation structure, automate manual processes, and use analytics and AI tools to improve the quality and speed of HR insights. Your work will turn market and internal workforce data into clear, actionable information for HR and leaders across the organization.
While prior compensation experience is an asset, we are particularly interested in candidates with a strong analytics background who are interested in deepening their expertise in compensation and total rewards while advancing HR processes and automation, data engineering, and analytics.
Key Responsibilities
HR Analytics, Data Engineering & AI Automation
- Support HR analytics initiatives by collecting, validating, and analyzing data from multiple HR systems.
- Automate manual frameworks by overhauling legacy spreadsheets and HR processes.
- Build and maintain HR dashboards and standard reports (e.g., in Excel, Tableau, or Power BI) to provide clear, concise insights.
- Engineer data pipelines and processes to connect raw HR data into reliable dashboards and analytics views.
- Identify trends and risks in workforce data and provide practical recommendations to HR and stakeholders.
- Integrate modern generative AI tools to streamline HR workflows, including job description matching, skills mapping, and other high-volume administrative tasks.
- Use AI and automation tools to improve data quality checks, documentation, and routine HR and compensation reporting.
- Ensure predictive analytics and AI frameworks comply with applicable data privacy requirements and emerging pay transparency expectations.
- Participate in salary surveys and benchmark compensation practices against market data.
- Conduct analysis on GDLS-C’s compensation programs using the latest market data survey results.
- Prepare recommendations on salary structures and incentive award planning to attract and retain talent within budget.
- Develop compensation presentations and present to Leaders.
- Administer the annual compensation process for salaried employees, including modeling budgets and establishing guidelines for base pay and incentive planning within SuccessFactors.
- Prepare compensation planning worksheets within SuccessFactors and in Excel for unique situations.
- Participate in job evaluations.
- Lead the development and communication of compensation policies and procedures.
- Prepare compensation reports and analytics to support business decision-making.
- Participate in special projects related to HR automation and process improvement.
- Bachelor’s degree in Data Analytics, Statistics, Computer Science, Mathematics, Economics, Business, Human Resources, or a related field.
- Minimum 3–5 years of related experience in data-driven roles (e.g., analytics, reporting, or business intelligence), preferably including HR or workforce analytics.
- Strong analytical skills and comfort working with data; able to structure analyses, interpret results, and explain findings clearly.
- Proficiency in Excel (e.g., pivot tables, formulas); experience with BI/visualization tools such as Power BI.
- Experience or interest in generative AI tools to improve efficiency
- Strong communication skills and ability to work with both HR and stakeholders.
- Experience with compensation and total rewards concepts and apply them in a data-driven way.
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