HR Analytics Business Partner

Location
Harare
Estimated Salary
Negotiable

Expiration date: 08 Dec 2022

Track Job Status
Receiving Applications (Open)
Shortlisting By IPC
CVs sent to Client
Shortlisting By Client
Awaiting Response from Client
Psychometric Testing
Interviews
Offer
Placement

Duties and Responsibilities.

· Establishes and executes the People Analytics vision and strategy

· Provides support to the Human Resource function in the areas of people metrics, reporting, and advanced predictive analytic capabilities.

· Leads HR analytics team to ensure that insights and analytic work is completed timely with high-quality, effective solutions

· Designs and implements dashboards that present data in a meaningful and actionable framework for leadership.

· Interprets employee data to identify significant differences, relationships, and trends in data.

· Ties people analytics to business objectives and outcomes

· Serves as the domain expert for human resources data and analytics

· Develops predictive models for attrition, high performance, and recruiting demand

· Interfaces with HR and other business functions to enable them to meet their business objectives through data and analytics

· Develops predictive analytics models that will compel specific business decisions

· Partners with HR leaders to proactively identify improvement opportunities through analytics. Delivers end-to-end support for HR decisions by applying complex data analysis to address HR business problems and meet the needs of key HR Stakeholders and other internal partners

· Ensures reporting solutions, insights, analytical tools and dashboards deliver actionable and accurate data to end users.

· Leads the development, reporting, and review of metrics to drive performance, identify trends, and develop/implement process improvements

· Provides ad hoc reporting as required

Qualifications and Experience

Bachelors Degree in computer science, analytics/mathematics/operations research/human resources/psychology.

At least 3 years experience with a focus on data structure, transformation, modeling, and reporting.


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