Data Engineer IV

Data Engineer IVDescription -Welcome to be a part of HP's global insights & analytics team that focuses on highlighting actionable insights. We work with Big Data from multiple digital support channels, crunch/analyze data and produce business relevant insights to enable the digital customer support channels and programs function better and derive more business value. We dive into large datasets to sense pertinent trends and patterns, forecast relevant metrics, explore data in multiple ways to highlight insights for digital customer support leadership as well as drive actions and programs at strategic & tactical level.You will be part of a small, agile and high performing team of Digital SMEs & Analytics experts working with diverse set of global stakeholders.In this role you are expected to apply advanced subject matter knowledge of data science and analytics to solve complex business issues of digital customer support channels and you will be regarded as a subject matter expert of the same. You would frequently contribute to the development of new ideas and methods of analyzing data like cluster analysis, time series, text analytics, forecasting, etc. to explore and highlight insights that can strengthen digital customer support services and programs. You would work on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. You would lead and/or provide expertise in collecting, processing and analyzing data in multiple ways to produce insights that can support customer support program initiatives across various digital channels and highlight opportunities to enhance them. You are expected to act as an expert providing direction and guidance to establish and improve practices of data science and analytics including but not limited to data sourcing, preparation/processing and analyzing. You are also expected to drive planning, building and deploying predictive models to meet business objectives and would frequently present analytical approaches and insights to the digital customer support leadership. You would exercise significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives.Responsibilities: Identify valuable data sources which hold potential for addressing key business issues or analytical explorations to highlight insights related to digital customer support channels, and customer experience and how to enhance themDrive data collection and processing of both structured and unstructured data and prepare it for analysisApply relevant analytical methods  (cluster analysis, regression, predictive modelling, text analytics, time series analysis etc.) to highlight pertinent insightsIndependently and proactively explore multiple ways to deep-dive into vast data resources to sense trends, patterns and highlight insights aligned with business prioritiesConsult other project team members and digital channel/program owners on relevant analytical/data science techniques to address key business questions and drive/implement those methods to support themPursue various analytical efforts consistently through iterations and feedback to arrive at best possible solution/model and identify the next steps to expand that effort to other digital channel initiatives/deploy and scale itConnect the dots across various data sources and analysis, present insights with business relevance and track the impact of those insights/actions taken on the business endManage diverse set of global and senior leaders and stakeholder relationships while probing on business issues, analyzing data and delivering insightsCould mentor and encourage skill development of project team members aligned with data science and analytics best practices, processes and steps in the analysis lifecycleEducation and Experience Required: First Level University degree.7+ years hands-on experience in data science and analyticsSome prior domain knowledge in Customer Support (CS) – digital, region, Customer CareKnowledge and Skills: Well-versed with programming using R, Python to process and analyze large datasetsHas strong understanding of statistical techniques to conduct wide range of analytical efforts like clustering, regression, predictive models, text analytics, A/B and multivariate and time series experimentsDemonstrates an in-depth understanding of end-to-end data science practices, analytical techniques and methodologies to source, process and analyze big dataHas the ability to build, deploy and scale predictive modelsSpeaks with authority to most layers of depth related to data science and analytical practices/techniques to consult on best analysis approach for a given business objective“Good to have” experience working on visualization tools like Power BIBasic understanding of cloud platforms like AWS and Azure would be preferableSofter skills/Approach:Critical thinking ability to dive deeper into insights and highlight the "So what" aspect of itAbility to structure a business context for analysis and look for data based insightsArticulation of insights from the business lensVerbal and written - Able to communicate point of views in clear, comprehendible and structured ways#LI-POSTJob -ServicesSchedule -Full timeShift -No shift premium (India)Travel -Relocation -EEO Tagline - HP Inc. is EEO F/M/Protected Veteran/ Individual with Disabilities.