Lead HR Analyst

Who we are:
Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.

Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.

**Who you are**:
We are always looking for amazing talent who can contribute to our growth and deliver results Geotab is seeking a** **Lead People Data Analyst who will be responsible for advanced HR data analysis, providing strategic insights through reports and tools to optimize our workforce, enable data-driven HR strategies and elevate business decisions.

**What you’ll do**:
In this role you will manage the design, development, and maintenance of on-going measurement systems, metrics, reports, analyses, and dashboards to steer key business decisions. As a Lead, you will provide technical leadership and mentorship to our Data & Analytics team within People Operations, collaborating with cross-functional teams, and utilizing advanced analytical techniques to extract actionable insights.

**How you’ll make an impact**:

- Guide and mentor people analysts, through coaching, technical expertise, and helping them develop advanced analytical skills and a deep understanding of HR practices
- Oversee the design and delivery of measurement systems, reports, tools and insights, analyzing workforce metrics.
- Lead the collection, analysis, and interpretation of complex HR data, including comprehensive workforce analytics, and in-depth studies to support strategic decision-making.
- Provide senior management with high-level insights into HR trends, patterns, influencing workforce planning, organizational development, and overall business strategies
- Responsible for data analysis and interpretation by conducting advanced data analysis using statistical methods, machine learning algorithms, and data visualization tools.
- Translate complex data sets into actionable insights, trends, and prepare recommendations through data-driven storytelling for key stakeholders.
- Running recurring HR reports and performing strong validations to make sure accurate data is being provided. Reports include but not limited to the following:

- Monthly Board Reporting requirements
- Statistics Canada and other government reports
- Demographic reports
- Talent Acquisition data and reporting
- Running quality analysis reports to ensure the data entry is entered accurately in the HR system
- Lead special analytical projects that contribute to HR's strategic goals and enhance our understanding of workforce dynamics
- Lead the refinement and elaboration of data processes, ensuring the availability of accurate and reliable HR data to empower informed decision-making

**What you’ll bring to this role**:

- 8- 10 years of technical expertise regarding data models, database design development, data mining and process automation
- 8- 10 years of experience using analytics tools and software (Excel, Google Sheets, SQL, Google Big Query, Superset, etc.)
- 8- 10 years of experience as a Senior People/HR Analyst, Senior Data Analyst, Data Scientist, or a similar role. Experience working within a technical or engineering organization, with knowledge of the high-technology industry is an asset
- Human Resources Management degree, certification or diploma(asset)
- Equivalent combination of education and/or work experience in related field may be substituted
- Proficiency coding in SQL, GBQ and AppScript/JavaScript, familiarity with Python an asset
- Deep understanding of data mining, data pipelines, and the Google Cloud Platform
- Strong and compelling storytelling abilities to communicate complex findings/data to a diverse audience
- Solid understanding of statistical analysis, quantitative analytics, forecasting/predictive analytics
- Strong problem solving abilities and attention to detail with accuracy
- Highly organized and able to manage multiple tasks and projects simultaneously
- Strong project management skills; able to identify needs, develop effective solutions, and manage projects through to completion
- Must stay relevant to technology and should have the flexibility to adapt to the growing technology and market demands
- Excellent analytical skills with the ability to problem solve well-judged decisions
- Strong team-player