Randstad Enterprise is a global talent leader, providing solutions and expertise that helpcompanies position for growth, execute on strategy, and improve business agility. Ourexperience encompasses all facets of the talent acquisition of permanent employees and thecontingent and contractor workforce. Key offerings include Managed Services Provider (MSP)programs, Recruitment Process Outsourcing (RPO), and Blended Workforce Solutions.Randstad Sourceright offers solutions Globally in North America, EMEA, and APAC. Workingfor a multi-country organization means working with clients and colleagues from differentbackgrounds. This results in a digital way of working and requires a proactive and culturallyinclusive mindset.Purpose of the jobThis role aims to partner with the Regional and Global Stakeholders within RSR (who can include but are not limited to Operational Teams, Data engineering, BI Support Teams, Internal teams, and RSR clients) and provide business solutions through data driven insights/recommendations.We're seeking someone with a flair for data storytelling to join our team. In this role, you'll transform complex data into compelling narratives that drive business decisions. This position has operational and technical responsibility for driving data insights, analytics, and consulting across all operating companies within RSR. This position will develop processes and strategies to consolidate, automate, and improve problem solving for external clients and internal stakeholders.As a Business Intelligence Partner, you will oversee the end-to-end delivery of regional and global accounts with respect to data and analytics. This will include working with data engineering to provide usable datasets, creating dashboards with meaningful insights & visualizations within our BI solution (DOMO), and ongoing communication and partnering with the stakeholders. The key to this is that as a Business Intelligence Partner, you will be a commercial and operational expert who can translate data into insights. You will use this to mitigate risk, find operational and revenue-generating opportunities, and provide business solutions.Key stakeholdersRSR internal stakeholders include but are not limited to C-Suite, Finance, RegionalManaging Directors, Vice Presidents, and operational account leadersRSR external clientsPosition SummaryConsulting / Partnering (60%):Leverage data analytics to extract actionable insights from external client andinternal RSR data, to help drive strategic business decisionsAnalyze the client’s data to present the account leadership and client with potentialapproaches to identify service delivery improvement opportunities and value-addedInitiatives.Conduct in-depth data analysis to uncover revenue-generating opportunities,supporting account leadership with data-driven recommendations.Serve as a key liaison between clients, operations teams, and data engineering,translating business needs into technical requirementsActively collect and monitor stakeholder feedback to quantify Data and Analyticsimpact and ROICollaborate with global teams to standardize data practices and share analytics bestpractices, along with coaching/mentoring junior team membersApply expertise in data visualization and storytelling to effectively communicatecomplex insights to stakeholdersBuild and maintain client/stakeholder relationships through consistent improvementand delivery of high-value data analyticsProvide thought leadership in business intelligence and data analytics methodologiesLiaise with client program owners and ATS Vendors/Partners to optimize dataintegration and reporting capabilitiesImplementation of BI solutions (30%):Be the implementation workstream lead responsible for delivering a reporting suiteand introductory standard for the account and client.Provide recommendations on organizing the same concept offerings to appropriate‘tier-based’ programs currently licensed for DOMO/Talent Radar.Responsible for ensuring all contractual conditions around reporting, financialelements, SLA's, and KPI's are reviewed, understood, and adhered toAssess operating reality to validate solution requirements and adjust as needed.Implement and reinforce tools, including standards, procedures, and documentation.Ensure the team has living documentation on reporting requirements, dataprocesses, and other program-specific content.Oversee the design and build of insightful, scalable, and actionable visualizations.Develop, document, and maintain a comprehensive quality management programBuild, implement, and schedule production standards of files and reports to ensureaccuracy and timeliness.Ensure reporting quality and accuracy by evaluating, integrating, and complementingdata sources.Execute continuous process improvement process.Knowledge of general database functions, data storage, data models, SQL, and datatransfer protocolsMaintain Standards (10%):Work within the agreed parameters aligned to the global method of BI productionLeverage an agile work environment to incorporate new innovative and valuecomponents into existing portfoliosOrganize a feedback standard from stakeholders (internal and external) in order tocreate use cases, case study materials and other customer-facing material(coordinate with RFP and sales approach as appropriate)Promote available resources and enterprise tools for operations training/ coachingneeds from a BI perspective.Ensure data governance principles and guidelines are being metJob RequirementsEducationBachelor’s degree mandatoryMaster’s degree a plusMandatory Experience7-9 years experience in data analytics and/or consulting in a delivery environmentExperience with DOMO (or other visualization tools such as Tableau, Spotfire, PowerBI) and GCPManagement Information/Business Intelligence/Analytics background is essentialProject Management and/or process improvement experienceTalent Acquisition/MSP/RPO/People Analytics experiencePreferred Experience:Advanced Analytics/Data science/AI/ML experience preferredKnowledge, Skills, and Abilities:Technical Skills:Data Visualization:Expertise in data visualization tools such as DOMO, Tableau, Spotfire, Qlikview, Power BI - understanding of data visualization methods including usage of various chart types and dashboardingData Manipulation:Proficiency in data cleansing and preprocessing techniques to ensuredata qualityStrong SQL skills for data extraction, transformation, and analysisProficiency in advanced Excel, including macros, pivot tables, and data modelingKnowledge of data governance principles and best practices for maintaining data integrityAnalytics:Knowledge of key descriptive analytics techniques including but not limited to data summarization (central tendency, dispersion etc.), data visualization methods, time series analysis, correlation analysis, cross- tabulation, frequency distributions, Pareto analysis, cohort analysis, funnel analysis, RFM analysis, exploratory data analysis, and basic cluster analysis for segmentationProficiency in data mining techniques to uncover patterns and trends in large datasetsExperience with predictive modeling for forecasting and decision support, knowledge of A/B testing methodologies to drive continuous improvement, and the ability to apply statistical techniques to inform strategy and investment decisions is a plusClient-facing Experience:Communication:Excellent communication and facilitation skills required for various levels throughout external and internal organizational stakeholdersPresentation & Storytelling:Expertise in narrative structures and audience analysis, so as to create compelling data narratives that aid driving business decisionsExcellent presentation skills used in delivering solutions to senior leadership and client stakeholdersSkilled in translating data insights into clear, non-technical language for diverse stakeholdersDemonstrated continuous improvement, process documentation, and workflow skillsOrganizational Experience:Working in multinational organizations, preferably in HR Staffing, Recruitment or Outsourcing
Job Title
Randstad Enterprise | Senior Business Intelligence Partner