Business Analyst & Operations Lead This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the
Business Analyst & Operations Lead This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office. Hewlett Packard Enterprise is the global edge-to-cloud company
Business Analyst & Operations Lead This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the
Essential Duties and Responsibilities: - Complete cost allocation plans for assigned clients. - Obtain contract renewals for multiple clients. - Manage relationships with multiple clients as well as project staff responsible for projects. - Support leadership
Essential Duties and Responsibilities: - Collaborate with project managers on various initiatives and projects to track progress and provide support as necessary. - Support leadership in ensuring that the project is delivered to specifications, is on
Essential Duties and Responsibilities: - Work as part of an Agile team to deliver high quality business analytics solutions for business stakeholders. - Lead collaboration with business stakeholder to identify and document system level requirements that
Essential Duties and Responsibilities: - Overall responsibility for identifying and documenting operational business requirements and processes, including providing clarification on any requirement discrepancies. - Perform all internal reporting needs of the department. - Extract, tabulate, and analyze
Essential Duties and Responsibilities: - Support the design and modification of business systems or IT systems. - Interact with the business stakeholders and subject matter experts in order to understand gather, document, and analyze business needs
Essential Duties and Responsibilities: - Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition. - Select crucial features, construct, and refine classifiers using