Business Intelligence Analyst - (Travel & Expense)

April 25

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PredictX

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Powering augmented decision-making

Machine Learning • Decision Automation • Business Intelligence • Data Cleansing and Enrichment • Decision Support

51 - 200

Description

• Responsible for planning, implementing, directing, and administering all aspects of the human resources function for the Mid-Atlantic Region • Provide day-to-day management of the Employee Relations team

Requirements

• Experience of performing analytics with business expense data from various Travel & Expense systems (e.g. Concur) • Proven experience in client facing roles; working with and communicating to senior stakeholders and with multiple layers across the business and vendors • Analytical and numerate mind with an ability to standardise data from multiple sources and to identify potential anomalies • Adaptable and solution oriented • SQL (MySQL, Ingres/Vectorwise), Python (Useful, not required) • Data transformation/visualisation tools such as Excel, Knime, Omniscope • Agile project Management Experience with technical process documentation • Experience gathering requirements from clients

Benefits

• Lead implementations in a consultative capacity to deliver the PredictX product to clients • Set up data acquisition, regular data refreshes, user access • Manage ETL of incoming data • Create SQL scripts for PredictX’s proprietary analytics software • Working with clients creatively to design, build, and deploy ad hoc reports • Additional client consultancy including face-to-face workshops and advanced training • Facilitate regular meetings with the project team, sponsors, and stakeholders. • Lead client calls and catch-ups throughout the implementation phase • Lead the project as a project manager - set timelines, create project plans, manage Jira backlogs, run stand-ups, sprints etc. • Collaborate with the team on sprint planning and assist with planning to accomplish items from the backlog. • Ensure all items on the Statement of Work are implemented/developed, and existing project features are configured. • Run client based UAT sessions to validate and sign off the product implementation. • Produce and customise documentation to allow sign off and handover of the implementation project. • Synthesise data using appropriate tools and technology while leveraging the knowledge of data sources, data quality and business context. • Apply analytical and statistical methods and models to provide stakeholders with actionable insights that will improve sales conversion, retention and customer value. • Create dashboards and reports that inform decisions at all levels of stakeholders • Identify and promote ideas for improving processes and PredictX modules